From f02feb24bad7edb44000d92f4cb7bd3201aefb74 Mon Sep 17 00:00:00 2001 From: John Floren Date: Wed, 11 Nov 2020 15:35:17 -0700 Subject: [PATCH 01/29] add 4.0.4 changelog --- changelog/4.0.4.md | 42 ++++++++++++++++++++++++++++++++++++++++++ changelog/list.md | 3 ++- 2 files changed, 44 insertions(+), 1 deletion(-) create mode 100644 changelog/4.0.4.md diff --git a/changelog/4.0.4.md b/changelog/4.0.4.md new file mode 100644 index 00000000..5fdfe74e --- /dev/null +++ b/changelog/4.0.4.md @@ -0,0 +1,42 @@ +# Changelog for version 4.0.4 + +### Released Nov 11 2020 + +## Web UI Changes +* Search chart granularity is now more intelligent (eliminate unintuitive "spikes" in charts). +* Scheduled searches & scripts can now be shared with group members or set global (by admins). +* Improved playbook editing. +* Kits can now be saved to the "Favorites" menu. +* Fixed issue where charts could occasionally appear "squashed" on search results. +* Fixed issue where kits may not be displayed in "available kits" page. +* Fixed incorrect behavior in ISO duration & custom duration timeframe selection. +* Fixed scrolling in actionable sub-menus. +* Fixed various spacing & display bugs in dashboards, actionables, and elsewhere. +* Improved display of images in kits and playbooks. + +## Backend Changes +* `limit` module now supports "N M" mode, e.g. `limit 5 10` will drop the first 5 entries, then pass the next 5, then drop all further entries. +* Fixed race condition where extremely brief queries could be improperly marked "SAVED". +* Fixed bug where queries could temporarily read from the wrong well if wells are configured with wildcard tags and a new tag is added to the well. +* Fixed bug where autoextractors could fail if some indexers lacked a particular tag. +* Improved error messages for certificate problems. +* Improved handling of corrupted nodes in entry index files. +* Added `saveSearch` function so scripts can save searches for later. +* The `toDuration` function in anko scripts is now more flexible. +* Searchagent should now execute debug scripts much sooner, also eliminated potential bug where searchagent could execute a debug script twice when using distributed webservers. +* Indexer and webserver processes now send both stdout and stderr to the systemd journal. +* Version API now includes server timezone. + +## Ingesters and Ingest Library Changes +* Added "health check" URL capability to HTTP ingester. +* Added Rate-Limit config option to all ingesters. +* Fixed map access race in Federator. +* Fixed bug where standalone Federator listening on a Unix pipe wouldn't create /opt/gravwell/comms automatically. +* Fixed potential deadlock when calling NegotiateTag with no open indexer connections. +* Fixed bug where `Cleartext-Backend-Target=::1` could fail. +* Fixed some potential races in the gravwelforwarder preprocessor. +* jsonarraysplit preprocessor can now split on a top-level array (an entry consisting solely of a JSON array). +* Improved some logging. + +## General/Miscellaneous +* Released new Zeek kit. diff --git a/changelog/list.md b/changelog/list.md index 800995d4..06613024 100644 --- a/changelog/list.md +++ b/changelog/list.md @@ -2,10 +2,11 @@ ## Current Version -[4.0.3](4.0.3.md). +[4.0.4](4.0.4.md) ## Previous Versions +* [4.0.3](4.0.3.md) * [4.0.2](4.0.2.md) * [4.0.1](4.0.1.md) * [4.0.0](4.0.0.md) From 0d376384025ef826cacbb2c10acc5f918e704064 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Thu, 19 Nov 2020 14:58:16 -0700 Subject: [PATCH 02/29] document dump module updates --- search/dump/dump.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/search/dump/dump.md b/search/dump/dump.md index b9d61db4..03cb8d43 100644 --- a/search/dump/dump.md +++ b/search/dump/dump.md @@ -6,8 +6,11 @@ The Gravwell search system will infer from the query whether or not it needs to ### Supported Options -* `-r`: The “-r” option requires an argument and specifies the name or UUID of a resource to extract data from. A resource must be specified and the current user must have read access to that resource. -* `-p`: The "-p" indicates that the dump module is injecting values along side other data and the pipeline should query the indexers. +* `-r`: The `-r` option requires an argument and specifies the name or UUID of a resource to extract data from. A resource must be specified and the current user must have read access to that resource. +* `-p`: The `-p` indicates that the dump module is injecting values along side other data and the pipeline should query the indexers. This flag cannot be used with the `-t` flag. +* `-t`: Choose a column from the resource to serve as the timestamp in injected entries. Can be combined with `-tz` and `-f`. This flag cannot be used with `-p`. +* `-tz`: Set the timezone for timestamps processed using `-t`, in tz [tz database format](https://en.wikipedia.org/wiki/List_of_tz_database_time_zones), e.g. "America/Denver", "UTC", or "Atlantic/Reykjavik". +* `-f`: Specifies the format to be used when parsing timestamps when using `-t`. The format consists of a string representation of a specific time, "Mon Jan 2 15:04:05 MST 2006", as used by the [Go time library](https://golang.org/pkg/time/#pkg-constants). Refer to the linked documentation for more examples. ### Filtering and Column Inclusion From 502e5cc0b4a46f96b5a67bc00afb1b41c7283300 Mon Sep 17 00:00:00 2001 From: John Floren Date: Fri, 20 Nov 2020 15:57:47 -0700 Subject: [PATCH 03/29] expand and update the search overview page a bit --- index.html | 3 ++ search/entry-enumerated.png | Bin 0 -> 87335 bytes search/entry.png | Bin 0 -> 75758 bytes search/search.md | 72 +++++++++++++++++++++++++++--------- search/tag-only.png | Bin 0 -> 145115 bytes search/weather-extract.png | Bin 0 -> 31424 bytes 6 files changed, 58 insertions(+), 17 deletions(-) create mode 100644 search/entry-enumerated.png create mode 100644 search/entry.png create mode 100644 search/tag-only.png create mode 100644 search/weather-extract.png diff --git a/index.html b/index.html index a354261a..f93d56a4 100644 --- a/index.html +++ b/index.html @@ -86,6 +86,9 @@ font-size: smaller; padding: 1em; } + video { + max-width: 95%; + } diff --git 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HcmV?d00001 diff --git a/search/search.md b/search/search.md index 736ddefb..27b8df66 100644 --- a/search/search.md +++ b/search/search.md @@ -1,15 +1,41 @@ # Searching with Gravwell -Gravwell is a structure-on-read data lake and the search pipeline is the core of that functionality. This is where the power and flexibility of the platform can be seen as information about data doesn't need to be known before collection. Instead, we can ingest the raw data and assemble a search processing pipeline to turn that raw data into actionable results! This all but eliminates normalizing or massaging data to try and fit specific molds, a common issue with SIEMs. Further, it let's us perform analysis retroactively against older data when new information or techniques become available. +Gravwell is a structure-on-read data lake and the search pipeline is the core of that functionality. This is where the power and flexibility of the platform can be seen: we don't need to know much about the data at collection time. Instead, we can ingest the raw data and assemble a search processing pipeline to turn that raw data into actionable results! This all but eliminates normalizing or massaging data to try and fit specific molds, a common issue with SIEMs. Further, it lets us perform analysis retroactively against older data when new information, techniques, or search modules become available. -The search pipeline is the core of Gravwell's functionality and operates in a similar fashion to the Linux/Unix command line. The Gravwell search query syntax assembles a processing pipeline to search and transform raw data into results. The pipeline modules often consist of at least one extraction module, one or more filtering or processing modules, and a rendering module. For example, the following query fetches data tagged "reddit", uses the json module to extract a field called Body, then uses the eval module to filter out any entries with Body fields longer than 20 characters, then finally uses the table renderer to display the contents of the Body fields: +The search pipeline is the core of Gravwell's functionality and operates in a similar fashion to the Linux/Unix command line. The Gravwell search query syntax assembles a processing pipeline to search and transform raw data into results. The pipeline modules often consist of at least one extraction module, one or more filtering or processing modules, and a rendering module. For example, the following query fetches data tagged "weather", uses the json module to extract a temperature and location name, then uses the eval module to filter out any entries with temperatures below 50 degrees, then finally uses the table renderer to display the contents of the name and temp fields: ``` -tag=reddit json Body | eval len(Body) < 20 | table Body +tag=weather json main.temp name | eval temp > 50 | table name temp ``` +![](weather-extract.png) + The user interface used to run queries [is documented here](#!gui/queries/queries.md). + + +## Entries + +Entries are the basic unit of data in Gravwell. Entries are generated by *ingesters* and sent to *indexers*, where they are stored until queried. Every entry contains 4 fields: DATA, TIMESTAMP, SRC, and TAG. + +![](entry.png) + +The TAG field categorizes a particular entry: Netflow records might be tagged "netflow", syslog records from a webserver could be tagged "syslog-www", etc. The SRC field is an IP address indicating where the entry originated. The TIMESTAMP field indicates when the entry was created. The DATA field contains the actual body of the entry, be it a raw TCP/IP packet, a syslog record, a Windows event log in XML format. There is no restriction on what goes in the DATA field--Gravwell will accept and store any binary data. + +In the example query shown above, we are dealing with entries tagged "weather" whose DATA fields contain JSON that looks like this: + +``` +{"coord":{"lon":-116.8,"lat":47.69},"weather":[{"id":801,"main":"Clouds","description":"few clouds","icon":"02d"}],"base":"stations","main":{"temp":40.91,"feels_like":34.56,"temp_min":39.2,"temp_max":42.01,"pressure":1032,"humidity":80},"visibility":10000,"wind":{"speed":5.82,"deg":200},"clouds":{"all":20},"dt":1605896400,"sys":{"type":1,"id":3672,"country":"US","sunrise":1605884460,"sunset":1605917119},"timezone":-28800,"id":5589173,"name":"Coeur d'Alene","cod":200} +``` +``` +{"coord":{"lon":-106.65,"lat":35.08},"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"base":"stations","main":{"temp":62.94,"feels_like":56.34,"temp_min":61,"temp_max":66,"pressure":1029,"humidity":27},"visibility":10000,"wind":{"speed":4.52,"deg":224},"clouds":{"all":1},"dt":1605896230,"sys":{"type":1,"id":3232,"country":"US","sunrise":1605880012,"sunset":1605916694},"timezone":-25200,"id":5454711,"name":"Albuquerque","cod":200} +``` + +The query takes this raw JSON and applies structure to it for our analysis. + ## Components of a Query The example query above can be broken into several individual portions, which are described below. @@ -34,29 +60,38 @@ Or you can use wildcards: tag=syslog-http-*,syslog-firewall-* ``` +These are all valid queries; if you run a query that is just a tag specification, Gravwell will fetch the entries and show you the unprocessed contents: + +![](tag-only.png) + ### Extraction Modules -Extraction modules are used to pull out fields/values/properties from the raw underlying data. +Extraction modules are used to pull out fields/values/properties from the raw underlying data. Given entries containing the weather data shown earlier, we can use the following query to pull out the location name and temperature, then show only the entries with a temperature over 50 degrees: ``` -tag=reddit json Body | eval len(Body) < 20 | table Body +tag=weather json main.temp name | eval temp > 50 | table name temp ``` -In the example above, the `JSON` module is extracting the values from the raw JSON text and providing them as "Enumerated Values" for any modules further down the pipeline. In other words, this module parses the JSON and provides the data as a structure. In the `json Body` example, we are extracting a single value from the raw JSON text. +In the example above, the `JSON` module is extracting the values from the raw JSON text and providing them as "Enumerated Values" for any modules further down the pipeline. In other words, this module parses the JSON to extract particular components the user needs. We extract the fields "name" and "temp", the latter being found *within* the "main" field. -The full documentation for these modules can be found at [Extration Modules](extractionmodules.md) +The full documentation for these modules can be found at [Extraction Modules](extractionmodules.md) -### Search Modules +#### Filtering + +Gravwell extraction modules will typically allow *extracted* items to be *filtered* at extraction time. Filtering lets you drop or pass entries based on whether or not they match particular criteria; see [this page](filtering.md) for full documentation. -Search modules are used to analyze data entries, filtering out undesired data or extracting interesting portions of the data. A search pipeline may include many search modules, one after another, each operating on the results of the previous module. -In the example above, `eval` is a search module performing some processing and filtering. Note that many search modules can be made to operate on a subset of the overall query tags by putting an *additional* tag specification before the module invocation -- something we call Data Fusion. This can be very useful if you need to perform some initial extractions differently: +### Processing Modules + +Processing modules are used to analyze data entries, filtering out undesired data, performing statistical analyses,. A search pipeline may include many processing modules, one after another, each operating on the results of the previous module. + +In the example shown in the previous section, `eval` is a processing module performing some filtering. Note that many processing modules can be made to operate on a subset of the overall query tags by putting an *additional* tag specification before the module invocation -- something we call Data Fusion. This can be very useful if you need to perform some initial extractions differently: ``` tag=reddit,hackernews tag=reddit json Body | tag=hackernews json body as Body | eval len(Body) < 20 | table Body ``` -[Click here for complete documentation of search modules](searchmodules.md) +[Click here for complete documentation of processing modules](processingmodules.md) ### Render Modules @@ -64,11 +99,10 @@ tag=reddit,hackernews tag=reddit json Body | tag=hackernews json body as Body | Render modules take the results generated by the search modules and present them to the user graphically. A search pipeline will only include one render module, at the very end of the pipeline. ``` -tag=reddit json Body | eval len(Body) < 20 | table Body +tag=weather json main.temp name | eval temp > 50 | table name temp ``` -In the example above, "table" is the render module; it has been told to display the contents of the Body Enumerated Value in a single column. - +In the example above, "table" is the render module; it has been told to display the contents of the "name" and "temp" Enumerated Values in their own columns. [Click here for complete documentation of render modules](rendermodules.md) @@ -83,11 +117,15 @@ tag=reddit json Body | langfind -e Body | count by lang | sort by count desc | t First, the json module parses the JSON in the raw entries and pulls out the "Body" element, storing it in an enumerated value named `Body`. Then the langfind module accesses the `Body` enumerated values and attempts to analyze the language used; it puts the result in a new enumerated value called `lang`. Next, the count module reads the `lang` enumerated values and counts how many times each value appears, storing the results in enumerated values named `count`. The rest of the pipeline sorts the results based on the counts and creates a table from the `lang` and `count` enumerated values. -Further examples throughout the documentation should help clarify the use of enumerated values. +You can think of enumerated values as additional fields which are attached to an entry over the course of a query; if we use the netflow module to extract Src and Dst values from the raw DATA field, we add Src and Dst fields to the entry: + +``` +tag=netflow netflow Src Dst +``` -## Filtering +![](entry-enumerated.png) -Gravwell extraction modules will typically allow *extracted* items to be *filtered* at extraction time. Filtering lets you drop or pass entries based on whether or not they match particular criteria; see [this page](filtering.md) for full documentation. +Further examples throughout the documentation should help clarify the use of enumerated values. ## Quoting and tokenizing diff --git a/search/tag-only.png b/search/tag-only.png new file mode 100644 index 0000000000000000000000000000000000000000..479d02197dac71110dc28cee664197cbf1d71831 GIT binary patch literal 145115 zcmce-2UJsA*DlOCqNs=*L`1rVD!un&2}P=Okf!wBA)!X}0HI6oAiaZt)KEl9=tz?i zLhn6<76Qp1kG|jcj`80+?s)%kzdvJSWM{3t*Pd&(wdOPD3VWrlNOqg{HW3jK*-Is$ z77-DNGZE3X8#n(XwA85y1rvU5xhffY5E0$&`uY7Mk?SrU5z!-}m%wK_;EY|QUkd$6 zzy`KTfw}OZLNSqH!kcGQys7UWsXe~Q3IDXEc5}On_~LxpUCtp=ii;Z*`PPs8k29aY zy`{LmAeL$nB#~P;m1YHDh}e}Cg|>_k@s}#mnT&U|$fszT6XFEiUp^?lL6&=CXzg;; zV=Hwlm2pU(IqYnQuemfZ`9jwr%SRTyVuY5x*kt~LK`j2Sxs3z4p7={*m&H-N(0_7;#x>%0teB7T+C2aBT1yS%3Lb*|t`wXObC=il&!{Q!em6m~VyPafw{| zfjD%wi<47kuv^IaY4jf7K)BIsGOPNKls=J+vr$E+p?;R%G`&%ttLGt?`BE`-QkJFr 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zo}|j$uEz!h;54KgK}LgYD41|+8u!Kz;Ufj5fvr!J?0%DzG!sM-s(uH`K^I6FDQbSZa4ZXJ?7`9wJvfE8*ZQB#>ASGQ2*_{mMVMjt zSaT+m>daE+UEJm3OFYgK)L8ecxM7O)T1xX9rRJSC>uf+=DXV#|u6xbud6N~llhNos z6sTl=4s!0fu8t0vdvSL;9;O#TYP@fc7;qB{T5I8i(%UpQ4lbfX5(w*fEM0fxqul#t z%UJo6sUupR{`mSrn-e3^2@-J`F3On8$9`?7#nHyJ4(K&b=TDUhBXK~j*C=kIsu#=& zEJ1U=8&joH2B#9tJc!)VXmZX>(P-Dhd73#i9uujy z8rJdin*Y{GUhA0j5UT*_D0?whBHUTL02bv7u~`Qtxa*KR+wh#$-rZ%Ke`Bd>GY6vW zH48&6_8QWQ{>z8N_KrHm!Z>Ho&JmXJ#N2{iJF!&k6jE^@q$H>G&C-)T=DnJ<52a}ZBDxX< zHANtfu&?)zHV(6>xS(N+FXwbUrDIxx!HN#0g`(AIEBRrmnXk%y)pYye3E6SecYNdw zbQDB;%4nURvr%Jjd=ft?`eLsDWRrCOvSW!A-*n{SF0*$j=M30jV|3D_@&~8x%U(B1(aFb{_Xe1iAG1XH)l{V4+$mcX4uLX>={J2D0~WfDZ*F?pE_ysRF!RLx zkhf5f4S*h|G@XP7!u{o?V%Kyz6Wkqd+#qfSJpKvOFjfR=@OV6~4y3WHC)ZEW2O+&h z_!?^oB|*JZIf=Hd=(q3N-Ebe*<{_RZ(>c7j)$eHFI&V&}_O*SDFWg3P<`tDAqE`qZ zeXkf_w%;OeNsJrd+EW}Dby#)EDRpBqw<9NKw^3!&(pnR|;mv@c^~A{YfV20tWw#nG zVihN}u$(1+FGaEU$QU}oeuQr=>GXGSQtdxNA?>S6mU$n3Kv=)325AouYz%4B(k0jT z#U7c9_N>)?(0RzxBtKKv>fk;8@E6Xa`4nq42p?we6RDvp`l0A8E3>ozu=h_{xBro5 zH0=J%_xSCfd5Rt{GY{wE$pvJmR`s7)#AMLF*T#PnUXsahy3))1a3rPry2d)#n-6~f EZ%;@uEdT%j literal 0 HcmV?d00001 From 7dd5e636df3ab3a5c847d7bd84e88b3202d3f533 Mon Sep 17 00:00:00 2001 From: kristopher watts Date: Mon, 23 Nov 2020 15:26:34 -0700 Subject: [PATCH 04/29] adding in the indexer well info structures --- api/stats-json.md | 547 +++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 546 insertions(+), 1 deletion(-) diff --git a/api/stats-json.md b/api/stats-json.md index 40fbadb4..e2b1b47d 100644 --- a/api/stats-json.md +++ b/api/stats-json.md @@ -241,4 +241,549 @@ Sending a GET request to `/api/stats/sysDesc` will return a structure giving add "TotalMemoryMB": 15946 } } -``` \ No newline at end of file +``` + + +## Shard Storage and Replication Stats + +Indexers maintain a list of all shards and wells and can produce a shard level view into the total stored data within Gravwell. This view can provide a very quick order of magnitude observation of wells and data volumes over long periods of time. + +When in high availability mode, the indexers also maintain a mapping of replicated data and can resolve where data is replicated too, enabling a quick overview of which indexers are replicating for other indexers. + +The shard level view is access via a `GET` request to `/api/indexers/info` and will return a JSON map of each indexer. The returned data set has extensive information about the configuration of the well, what tags have been assigned to it, and the shards populated within the well. + +### Example JSON Response +Here is an example response from a cluster of 4 Gravwell indexers with 2 wells each and replication enabled. Only a single shard is populated in the syslog well. + +

Expand JSON Response +
+```
+{
+  "172.19.0.4:9404": {
+    "UUID": "f71ae8ea-5659-4ed2-8e4e-d7ebad4853c6",
+    "Wells": [
+      {
+        "Name": "default",
+        "Accelerator": "fulltext",
+        "Engine": "index",
+        "Tags": [
+          "default",
+          "gravwell"
+        ],
+        "Shards": []
+      },
+      {
+        "Name": "syslog",
+        "Accelerator": "fulltext",
+        "Engine": "index",
+        "Tags": [
+          "syslog",
+          "kernel",
+          "dmesg"
+        ],
+        "Shards": [
+          {
+            "Name": "76ba7",
+            "Start": "2020-11-23T19:09:52Z",
+            "End": "2020-11-25T07:34:24Z",
+            "Entries": 25794,
+            "Size": 13163774,
+            "RemoteState": {
+              "UUID": "f71ae8ea-5659-4ed2-8e4e-d7ebad4853c6",
+              "Entries": 25794,
+              "Size": 13163262
+            }
+          }
+        ]
+      }
+    ],
+    "Replicated": {
+      "5e20794b-0b73-4eb0-b49b-ece17089bf28": [
+        {
+          "Name": "default",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "default",
+            "gravwell"
+          ],
+          "Shards": []
+        },
+        {
+          "Name": "syslog",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "syslog",
+            "kernel",
+            "dmesg"
+          ],
+          "Shards": []
+        }
+      ],
+      "9a779454-95d8-457b-9841-aab9b93661fe": [
+        {
+          "Name": "default",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "default",
+            "gravwell"
+          ],
+          "Shards": []
+        },
+        {
+          "Name": "syslog",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "syslog",
+            "kernel",
+            "dmesg"
+          ],
+          "Shards": []
+        }
+      ],
+      "bc5ff11f-34a1-460c-adeb-4adc8c031777": [
+        {
+          "Name": "default",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "default",
+            "gravwell"
+          ],
+          "Shards": []
+        },
+        {
+          "Name": "syslog",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "syslog",
+            "kernel",
+            "dmesg"
+          ],
+          "Shards": [
+            {
+              "Name": "76ba7",
+              "Start": "2020-11-23T19:09:52Z",
+              "End": "2020-11-25T07:34:24Z",
+              "Entries": 24092,
+              "Size": 12261276,
+              "RemoteState": {
+                "UUID": "00000000-0000-0000-0000-000000000000",
+                "Entries": 0,
+                "Size": 0
+              }
+            }
+          ]
+        }
+      ]
+    }
+  },
+  "172.19.0.5:9404": {
+    "UUID": "5e20794b-0b73-4eb0-b49b-ece17089bf28",
+    "Wells": [
+      {
+        "Name": "default",
+        "Accelerator": "fulltext",
+        "Engine": "index",
+        "Tags": [
+          "default",
+          "gravwell"
+        ],
+        "Shards": []
+      },
+      {
+        "Name": "syslog",
+        "Accelerator": "fulltext",
+        "Engine": "index",
+        "Tags": [
+          "syslog",
+          "kernel",
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+          "Engine": "index",
+          "Tags": [
+            "default",
+            "gravwell"
+          ],
+          "Shards": []
+        },
+        {
+          "Name": "syslog",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "syslog",
+            "kernel",
+            "dmesg"
+          ],
+          "Shards": [
+            {
+              "Name": "76ba7",
+              "Start": "2020-11-23T19:09:52Z",
+              "End": "2020-11-25T07:34:24Z",
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+              }
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+        }
+      ],
+      "bc5ff11f-34a1-460c-adeb-4adc8c031777": [
+        {
+          "Name": "default",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "default",
+            "gravwell"
+          ],
+          "Shards": []
+        },
+        {
+          "Name": "syslog",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "syslog",
+            "kernel",
+            "dmesg"
+          ],
+          "Shards": []
+        }
+      ],
+      "f71ae8ea-5659-4ed2-8e4e-d7ebad4853c6": [
+        {
+          "Name": "default",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "default",
+            "gravwell"
+          ],
+          "Shards": []
+        },
+          "Name": "syslog",
+          "Accelerator": "fulltext",
+          "Engine": "index",
+          "Tags": [
+            "syslog",
+            "kernel",
+            "dmesg"
+          ],
+          "Shards": []
+        }
+      ]
+    }
+  }
+}
+```
+
+
From 82684122eb199939d8035e70d7677a268eef1452 Mon Sep 17 00:00:00 2001 From: traetox Date: Mon, 23 Nov 2020 15:37:39 -0700 Subject: [PATCH 05/29] Update api/stats-json.md Co-authored-by: David Fritz --- api/stats-json.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/stats-json.md b/api/stats-json.md index e2b1b47d..343fe19d 100644 --- a/api/stats-json.md +++ b/api/stats-json.md @@ -250,7 +250,7 @@ Indexers maintain a list of all shards and wells and can produce a shard level v When in high availability mode, the indexers also maintain a mapping of replicated data and can resolve where data is replicated too, enabling a quick overview of which indexers are replicating for other indexers. -The shard level view is access via a `GET` request to `/api/indexers/info` and will return a JSON map of each indexer. The returned data set has extensive information about the configuration of the well, what tags have been assigned to it, and the shards populated within the well. +The shard level view is accessed via a `GET` request to `/api/indexers/info` and will return a JSON map of each indexer. The returned data set has extensive information about the configuration of the well, what tags have been assigned to it, and the shards populated within the well. ### Example JSON Response Here is an example response from a cluster of 4 Gravwell indexers with 2 wells each and replication enabled. Only a single shard is populated in the syslog well. From 292cda26524c9290ce561f037d12895ec619d8af Mon Sep 17 00:00:00 2001 From: David Fritz Date: Tue, 24 Nov 2020 11:09:16 -0700 Subject: [PATCH 06/29] compound query docs --- search/search.md | 67 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 67 insertions(+) diff --git a/search/search.md b/search/search.md index 736ddefb..c28de7ca 100644 --- a/search/search.md +++ b/search/search.md @@ -113,6 +113,73 @@ grep "\"," Macros can help turn long, complex queries into easy-to-remember shortcuts. See [the full macro documentation](#!search/macros.md) for more information. +## Compound Queries + +You can combine multiple queries together as a single "compound" query in order to leverage multiple data sources, fuse data into another query, and simplify complex queries. Gravwell's compound query syntax is a simple sequence of in-order queries, with additional notation to create temporary resources that can be referenced in queries later in the sequence. + +A compound query consists of a main query (the last query in a sequence), and one or more subqueries. The main query is written just like a normal query, while subqueries are always wrapped in the notation `@{}`. Queries are separated by `;`. + +Subqueries generate named resources in the form of `@`. These resources can be used as regular resources with any module that supports resources such as `lookup`, `ipexist`, ... Named resources are scoped to the compound query they exist in, and are ephemeral - they are only accessible to other queries in the compound query, and are deleted as soon as the query is completed. + +For example, say we chart across the last week of DNS records, grouping our output in 10 minute bins, using the query: + +``` +tag=dns count over 10m | chart count +``` + +This produces a chart: + +![](compound-ex1.png) + +Notice that several spikes of DNS activity are present. Now say we wish to only see the records present for spikes with a count greater than 3000. Normally this wouldn't be possible using a single query as the filter (count > 3000) is itself a function of the dataset and would require computation across the entire dataset first. Compound queries enable this kind of query by allowing us to start with a subquery that creates a temporary table of counts, and a main query that filters on the count, while preserving the original data. + +Let's start with the subquery: + +``` +tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts | count over 10m | table ts count +``` + +In the subquery, we've added a time module in the pipeline to enumerate timestamps in 10 minute bins as the enumerated value `ts`. We'll use the `ts` enumerated value later to index in this table. + +Since this is a subquery, we need to give it a name so later queries can reference its output, and wrap the query in braces. We'll call this subquery "counts": + +``` +@counts{tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts | count over 10m | table ts count} +``` + +In the main query, we again use the DNS dataset, and use the `lookup` module to read from our subquery "counts": + +``` +tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts | lookup -r @counts ts ts count | eval count > 3000 | chart +``` + +This query again formats our 10 minute window timestamp "ts", which we use to match into the table "@counts" generated by our subquery. We then simply filter, using eval, any entry belonging to a bin with a count greater than 3000. + +We wrap this into a compound query simply by joining the queries together and separating them with a `;`: + +``` +@counts{ + tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts + | count over 10m + | table ts count +}; + +tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts +| lookup -r @counts ts ts count +| eval count > 3000 +| chart +``` + +This gives us a chart with just the large spikes of data passed through: + +![](compound-ex2.png) + +It's also possible to have any number of subqueries in a compound query, as in: + +``` +@q1{...}; @q2{...}; @q3{...}; ... +``` + ## Comments Queries support C-Style comments anywhere in the query text. Comments are saved in the search histroy, and are useful for debugging queries and adding inline notes. For example: From 5a509b89b4bb7243174750838691615762d06580 Mon Sep 17 00:00:00 2001 From: John Floren Date: Mon, 30 Nov 2020 13:34:29 -0800 Subject: [PATCH 07/29] document time stuff in settings api --- api/misc.md | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/api/misc.md b/api/misc.md index 72978ab1..11229f39 100644 --- a/api/misc.md +++ b/api/misc.md @@ -129,12 +129,16 @@ This API provides some basic information for the user interface. A GET on `/api/ ``` { - "DisableMapTileProxy": false, - "DistributedWebservers": false, - "MapTileUrl": "http://localhost:8080/api/maps", - "MaxFileSize": 8388608, - "MaxResourceSize": 134217728 + "DisableMapTileProxy": false, + "DistributedWebservers": false, + "MapTileUrl": "http://localhost:8080/api/maps", + "MaxFileSize": 8388608, + "MaxResourceSize": 134217728, + "ServerTime": "2020-11-30T11:50:29.478092519-08:00", + "ServerTimezone": "PST", + "ServerTimezoneOffset": -28800 } + ``` * `DisableMapTileProxy`, if true, tells the UI that it should send map requests directly to OpenStreetMap servers, rather than using the Gravwell proxy. @@ -142,6 +146,9 @@ This API provides some basic information for the user interface. A GET on `/api/ * `DistributedWebservers` will be set to true if there are multiple webservers coordinating via a datastore. * `MaxFileSize` is the maximum allowable file size (in bytes) which may be uploaded to the `/api/files` APIs. * `MaxResourceSize` is the maximum allowable resource size, in bytes. +* `ServerTime` is the current time on the webserver. +* `ServerTimezone` is the webserver's timezone. +* `ServerTimezoneOffset` is the webservers timezone offset, in seconds from UTC. ## Scripting Libraries From e4ed791411d3715a80838c3a262bff5290bd2096 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Mon, 30 Nov 2020 16:00:22 -0700 Subject: [PATCH 08/29] add compound query docs --- search/compound-ex1.png | Bin 0 -> 162410 bytes search/compound-ex2.png | Bin 0 -> 158323 bytes search/search.md | 51 ++++++++++++++-------------------------- 3 files changed, 18 insertions(+), 33 deletions(-) create mode 100644 search/compound-ex1.png create mode 100644 search/compound-ex2.png diff --git 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index c28de7ca..0365eec7 100644 --- a/search/search.md +++ b/search/search.md @@ -121,65 +121,50 @@ A compound query consists of a main query (the last query in a sequence), and on Subqueries generate named resources in the form of `@`. These resources can be used as regular resources with any module that supports resources such as `lookup`, `ipexist`, ... Named resources are scoped to the compound query they exist in, and are ephemeral - they are only accessible to other queries in the compound query, and are deleted as soon as the query is completed. -For example, say we chart across the last week of DNS records, grouping our output in 10 minute bins, using the query: - -``` -tag=dns count over 10m | chart count -``` - -This produces a chart: - -![](compound-ex1.png) - -Notice that several spikes of DNS activity are present. Now say we wish to only see the records present for spikes with a count greater than 3000. Normally this wouldn't be possible using a single query as the filter (count > 3000) is itself a function of the dataset and would require computation across the entire dataset first. Compound queries enable this kind of query by allowing us to start with a subquery that creates a temporary table of counts, and a main query that filters on the count, while preserving the original data. +For example, say we have both DNS query and IP-level connection data under the tags "dns" and "conns", and we want to filter connection data down to only connections that didn't first have a corresponding DNS query. We can use compound queries to enrich our first query with DNS data and filter. Let's start with the subquery: ``` -tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts | count over 10m | table ts count +tag=dns table query answers ``` -In the subquery, we've added a time module in the pipeline to enumerate timestamps in 10 minute bins as the enumerated value `ts`. We'll use the `ts` enumerated value later to index in this table. +This produces a table: -Since this is a subquery, we need to give it a name so later queries can reference its output, and wrap the query in braces. We'll call this subquery "counts": +![](compound-ex1.png) + +In the subquery, we simply create a table of all queries and answers in our DNS data. Since this is a subquery, we need to give it a name so later queries can reference its output, and wrap the query in braces. We'll call this subquery "dns": ``` -@counts{tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts | count over 10m | table ts count} +@dns{tag=dns table query answers} ``` -In the main query, we again use the DNS dataset, and use the `lookup` module to read from our subquery "counts": +In the main query, we use our connection data, and use the `lookup` module to read from our subquery "@dns": ``` -tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts | lookup -r @counts ts ts count | eval count > 3000 | chart +tag=conns lookup -r @dns SrcIP answers query +| require -s -v query +| table SrcIP DstIP SrcIPBytes DstIPBytes ``` -This query again formats our 10 minute window timestamp "ts", which we use to match into the table "@counts" generated by our subquery. We then simply filter, using eval, any entry belonging to a bin with a count greater than 3000. +This query uses the `lookup` module to add the "query" value from our subquery to any entry in our conns data that has a SrcIP that matches a DNS answer. From there we use an inverse `require` module to filter down to entries that didn't match, and then simply create a table of our data. We wrap this into a compound query simply by joining the queries together and separating them with a `;`: ``` -@counts{ - tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts - | count over 10m - | table ts count +@dns{ + tag=dns table query answers }; -tag=dns time -f "Mon Jan _2 15:0" TIMESTAMP ts -| lookup -r @counts ts ts count -| eval count > 3000 -| chart +tag=conns lookup -r @dns SrcIP answers query +| require -s -v query +| table SrcIP DstIP SrcIPBytes DstIPBytes ``` -This gives us a chart with just the large spikes of data passed through: +This gives us a table of just connections that didn't have a corresponding DNS query: ![](compound-ex2.png) -It's also possible to have any number of subqueries in a compound query, as in: - -``` -@q1{...}; @q2{...}; @q3{...}; ... -``` - ## Comments Queries support C-Style comments anywhere in the query text. Comments are saved in the search histroy, and are useful for debugging queries and adding inline notes. For example: From 1413983cc52e7743a2ca763c0031c07ba7f31ac4 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Tue, 1 Dec 2020 09:46:00 -0700 Subject: [PATCH 09/29] resolve comments --- search/search.md | 27 +++++++++++++++++---------- 1 file changed, 17 insertions(+), 10 deletions(-) diff --git a/search/search.md b/search/search.md index 0365eec7..793cfeab 100644 --- a/search/search.md +++ b/search/search.md @@ -117,13 +117,22 @@ Macros can help turn long, complex queries into easy-to-remember shortcuts. See You can combine multiple queries together as a single "compound" query in order to leverage multiple data sources, fuse data into another query, and simplify complex queries. Gravwell's compound query syntax is a simple sequence of in-order queries, with additional notation to create temporary resources that can be referenced in queries later in the sequence. -A compound query consists of a main query (the last query in a sequence), and one or more subqueries. The main query is written just like a normal query, while subqueries are always wrapped in the notation `@{}`. Queries are separated by `;`. +A compound query consists of a main query (the last query in a sequence), and one or more inner queries. The main query is written just like a normal query, while inner queries are always wrapped in the notation `@{}`. Queries are separated by `;`. -Subqueries generate named resources in the form of `@`. These resources can be used as regular resources with any module that supports resources such as `lookup`, `ipexist`, ... Named resources are scoped to the compound query they exist in, and are ephemeral - they are only accessible to other queries in the compound query, and are deleted as soon as the query is completed. +Inner queries generate named resources in the form of `@`. These resources can be used as a regular resources with any module that supports table-based resources, listed below: + +| Module | Notes | +|--------|-------| +| [dump](#!search/dump/dump.md) | | +| [lookup](#!search/lookup/lookup.md) | | +| [ipexist](#!search/ipexist/ipexist.md) | Inner queries must use the table module with the `-format ipexist` flag | +| [anko](#!search/anko/anko.md) | Anko scripts can read from named resources | + +Named resources are scoped to the compound query they exist in, and are ephemeral - they are only accessible to other queries in the compound query, and are deleted as soon as the query is completed. For example, say we have both DNS query and IP-level connection data under the tags "dns" and "conns", and we want to filter connection data down to only connections that didn't first have a corresponding DNS query. We can use compound queries to enrich our first query with DNS data and filter. -Let's start with the subquery: +Let's start with the inner query: ``` tag=dns table query answers @@ -133,21 +142,20 @@ This produces a table: ![](compound-ex1.png) -In the subquery, we simply create a table of all queries and answers in our DNS data. Since this is a subquery, we need to give it a name so later queries can reference its output, and wrap the query in braces. We'll call this subquery "dns": +In the inner query, we simply create a table of all queries and answers in our DNS data. Since this is an inner query, we need to give it a name so later queries can reference its output, and wrap the query in braces. We'll call this inner query "dns": ``` @dns{tag=dns table query answers} ``` -In the main query, we use our connection data, and use the `lookup` module to read from our subquery "@dns": +In the main query, we use our connection data, and use the `lookup` module to read from our inner query "@dns": ``` -tag=conns lookup -r @dns SrcIP answers query -| require -s -v query +tag=conns lookup -s -v -r @dns SrcIP answers query | table SrcIP DstIP SrcIPBytes DstIPBytes ``` -This query uses the `lookup` module to add the "query" value from our subquery to any entry in our conns data that has a SrcIP that matches a DNS answer. From there we use an inverse `require` module to filter down to entries that didn't match, and then simply create a table of our data. +This query uses the `lookup` module drop (via the `-s` and `-v` flags) any entry in our conns data that has a SrcIP that matches a DNS answer. From there we simply create a table of our data. We wrap this into a compound query simply by joining the queries together and separating them with a `;`: @@ -156,8 +164,7 @@ We wrap this into a compound query simply by joining the queries together and se tag=dns table query answers }; -tag=conns lookup -r @dns SrcIP answers query -| require -s -v query +tag=conns lookup -s -v -r @dns SrcIP answers query | table SrcIP DstIP SrcIPBytes DstIPBytes ``` From 04829705ccf1fd69b1fded656161dbb106cd5c14 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Tue, 1 Dec 2020 09:58:06 -0700 Subject: [PATCH 10/29] add iplookup in table of supported compound query modules --- search/search.md | 1 + 1 file changed, 1 insertion(+) diff --git a/search/search.md b/search/search.md index 793cfeab..c0214831 100644 --- a/search/search.md +++ b/search/search.md @@ -125,6 +125,7 @@ Inner queries generate named resources in the form of `@`. These res |--------|-------| | [dump](#!search/dump/dump.md) | | | [lookup](#!search/lookup/lookup.md) | | +| [iplookup](#!search/iplookup/iplookup.md) | | | [ipexist](#!search/ipexist/ipexist.md) | Inner queries must use the table module with the `-format ipexist` flag | | [anko](#!search/anko/anko.md) | Anko scripts can read from named resources | From b40dd36cb3db2a7fb3a1a6b41e380dd3a9dd43ad Mon Sep 17 00:00:00 2001 From: David Fritz Date: Thu, 3 Dec 2020 11:35:43 -0700 Subject: [PATCH 11/29] Update search.md --- search/search.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/search/search.md b/search/search.md index c0214831..47deae5a 100644 --- a/search/search.md +++ b/search/search.md @@ -136,7 +136,7 @@ For example, say we have both DNS query and IP-level connection data under the t Let's start with the inner query: ``` -tag=dns table query answers +tag=dns json query answers | table query answers ``` This produces a table: @@ -146,13 +146,13 @@ This produces a table: In the inner query, we simply create a table of all queries and answers in our DNS data. Since this is an inner query, we need to give it a name so later queries can reference its output, and wrap the query in braces. We'll call this inner query "dns": ``` -@dns{tag=dns table query answers} +@dns{tag=dns json query answers | table query answers} ``` In the main query, we use our connection data, and use the `lookup` module to read from our inner query "@dns": ``` -tag=conns lookup -s -v -r @dns SrcIP answers query +tag=conns json SrcIP DstIP SrcIPBytes DstIPBytes | lookup -s -v -r @dns SrcIP answers query | table SrcIP DstIP SrcIPBytes DstIPBytes ``` @@ -162,10 +162,10 @@ We wrap this into a compound query simply by joining the queries together and se ``` @dns{ - tag=dns table query answers + tag=dns json query answers | table query answers }; -tag=conns lookup -s -v -r @dns SrcIP answers query +tag=conns json SrcIP DstIP SrcIPBytes DstIPBytes | lookup -s -v -r @dns SrcIP answers query | table SrcIP DstIP SrcIPBytes DstIPBytes ``` From 3e482e1ca1c1fa845a53918f007729c974e009c1 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Mon, 7 Dec 2020 15:52:08 -0700 Subject: [PATCH 12/29] add enrich docs --- search/enrich/enrich.md | 34 ++++++++++++++++++++++++++++++++++ search/processingmodules.md | 1 + 2 files changed, 35 insertions(+) create mode 100644 search/enrich/enrich.md diff --git a/search/enrich/enrich.md b/search/enrich/enrich.md new file mode 100644 index 00000000..2c2f69c7 --- /dev/null +++ b/search/enrich/enrich.md @@ -0,0 +1,34 @@ +## Enrich + +The `enrich` module enables adding enumerated values to all entries in a pipeline within the query or using resources. `enrich` can be used to annotate data with constant enumerated values, such as "User=admin", in order to simplify visualization and reporting, pivoting within compound queries, and working with nontemporal data. + +### Supported Options + +* `-r`: Optional. The `-r` option requires an argument and specifies the name or UUID of a resource to extract data from. +* `-o`: Optional. Overwrite any existing enumerated values that are specified. Usually combined with `-r`. + +### Enriching with string constants + +The simplest use of `enrich` is to specify enumerated values and data within the query. For example, to add an enumerated value "foo" with the value "bar" to every entry, simply specify the name and content of the enumerated value, seperated by whitespace: + +``` +tag=jsondata json val | enrich foo bar | table val foo +``` + +You can specify multiple enumerated value pairs as well. For example, to create enumerated values "foo" and "bar", each with different content: + +``` +tag=jsondata json val | enrich foo "my data" bar "my other data" | table val foo bar +``` + +### Enriching with resources + +The `enrich` module can extract columns from a CSV or lookup table resource. When using resources, only the first row will be used by `enrich`. Columns can be specified, and all columns will be used if none are specified. If a column conflicts with an existing enumerated value, it will only be overwritten if using the `-o` flag. + +For example, to use columns "foo" and "bar" from a resource "data": + +``` +tag=jsondata val | enrich -r data foo bar | table val foo bar" +``` + +NOTE: Only the first row of resources are used with the `enrich` module. diff --git a/search/processingmodules.md b/search/processingmodules.md index 2a9fb2bd..202cfb07 100644 --- a/search/processingmodules.md +++ b/search/processingmodules.md @@ -34,6 +34,7 @@ These can be used just like user-defined enumerated values, thus `table foo bar * [base64](base64/base64.md) * [count](math/math.md#Count) * [diff](diff/diff.md) +* [enrich](enrich/enrich.md) * [entropy](math/math.md#Entropy) * [eval](eval/eval.md) * [first/last](firstlast/firstlast.md) From 5a3dd9553c5aec818f747dee865275c55c5e5597 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Mon, 7 Dec 2020 16:10:35 -0700 Subject: [PATCH 13/29] fix nits --- search/enrich/enrich.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/search/enrich/enrich.md b/search/enrich/enrich.md index 2c2f69c7..924fddbb 100644 --- a/search/enrich/enrich.md +++ b/search/enrich/enrich.md @@ -1,6 +1,6 @@ ## Enrich -The `enrich` module enables adding enumerated values to all entries in a pipeline within the query or using resources. `enrich` can be used to annotate data with constant enumerated values, such as "User=admin", in order to simplify visualization and reporting, pivoting within compound queries, and working with nontemporal data. +The `enrich` module can add enumerated values to each entry in a pipeline; these values can be specified in the module arguments or can come from a resource. `enrich` can be used to annotate data with constant enumerated values, such as "User=admin", in order to simplify visualization and reporting, pivoting within compound queries, and working with nontemporal data. ### Supported Options @@ -23,7 +23,7 @@ tag=jsondata json val | enrich foo "my data" bar "my other data" | table val foo ### Enriching with resources -The `enrich` module can extract columns from a CSV or lookup table resource. When using resources, only the first row will be used by `enrich`. Columns can be specified, and all columns will be used if none are specified. If a column conflicts with an existing enumerated value, it will only be overwritten if using the `-o` flag. +The `enrich` module can extract columns from a CSV or lookup table resource. When using resources, only the first row will be used by `enrich` (excluding the column headers for CSV resources). Columns can be specified, and all columns will be used if none are specified. If a column conflicts with an existing enumerated value, it will only be overwritten if using the `-o` flag. For example, to use columns "foo" and "bar" from a resource "data": @@ -31,4 +31,4 @@ For example, to use columns "foo" and "bar" from a resource "data": tag=jsondata val | enrich -r data foo bar | table val foo bar" ``` -NOTE: Only the first row of resources are used with the `enrich` module. +NOTE: Only the first row of resources are used with the `enrich` module (excluding the column headers for CSV resources). From 17e0586649fea03c248861acf9454e03000a2eee Mon Sep 17 00:00:00 2001 From: David Fritz Date: Mon, 7 Dec 2020 16:14:15 -0700 Subject: [PATCH 14/29] add 'as' example --- search/enrich/enrich.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/search/enrich/enrich.md b/search/enrich/enrich.md index 924fddbb..1f3ea4cd 100644 --- a/search/enrich/enrich.md +++ b/search/enrich/enrich.md @@ -31,4 +31,10 @@ For example, to use columns "foo" and "bar" from a resource "data": tag=jsondata val | enrich -r data foo bar | table val foo bar" ``` +Additionally, the name of the enumerated value can be different from the column name by using the `as` keyword. For example, to enrich with the column "foo", but name the resulting enumerated value "bar": + +``` +tag=jsondata val | enrich -r data foo as bar | table val bar" +``` + NOTE: Only the first row of resources are used with the `enrich` module (excluding the column headers for CSV resources). From 42c61136c62758fbd3c2156fa5464cea6cf66b25 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Mon, 7 Dec 2020 16:15:34 -0700 Subject: [PATCH 15/29] Update enrich.md --- search/enrich/enrich.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/search/enrich/enrich.md b/search/enrich/enrich.md index 1f3ea4cd..c91f9905 100644 --- a/search/enrich/enrich.md +++ b/search/enrich/enrich.md @@ -28,13 +28,13 @@ The `enrich` module can extract columns from a CSV or lookup table resource. Whe For example, to use columns "foo" and "bar" from a resource "data": ``` -tag=jsondata val | enrich -r data foo bar | table val foo bar" +tag=jsondata val | enrich -r data foo bar | table val foo bar ``` Additionally, the name of the enumerated value can be different from the column name by using the `as` keyword. For example, to enrich with the column "foo", but name the resulting enumerated value "bar": ``` -tag=jsondata val | enrich -r data foo as bar | table val bar" +tag=jsondata val | enrich -r data foo as bar | table val bar ``` NOTE: Only the first row of resources are used with the `enrich` module (excluding the column headers for CSV resources). From 9fc3d6fb06f6fd8a567f4714adf7dd6c50fecc4d Mon Sep 17 00:00:00 2001 From: David Fritz Date: Thu, 10 Dec 2020 14:16:56 -0700 Subject: [PATCH 16/29] update list of compound query supported modules --- search/search.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/search/search.md b/search/search.md index 75c20a63..91911430 100644 --- a/search/search.md +++ b/search/search.md @@ -162,9 +162,10 @@ Inner queries generate named resources in the form of `@`. These res | Module | Notes | |--------|-------| | [dump](#!search/dump/dump.md) | | -| [lookup](#!search/lookup/lookup.md) | | -| [iplookup](#!search/iplookup/iplookup.md) | | +| [enrich](#!search/enrich/enrich.md) | | | [ipexist](#!search/ipexist/ipexist.md) | Inner queries must use the table module with the `-format ipexist` flag | +| [iplookup](#!search/iplookup/iplookup.md) | Inner queries must use the table module with the `-format csv` flag | +| [lookup](#!search/lookup/lookup.md) | | | [anko](#!search/anko/anko.md) | Anko scripts can read from named resources | Named resources are scoped to the compound query they exist in, and are ephemeral - they are only accessible to other queries in the compound query, and are deleted as soon as the query is completed. From 33bb92c55537ae73bee934bc98ef9db9f187e9ca Mon Sep 17 00:00:00 2001 From: kristopher watts Date: Tue, 15 Dec 2020 08:14:57 -0700 Subject: [PATCH 17/29] fixing some wording in docs --- configuration/parameters.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/configuration/parameters.md b/configuration/parameters.md index 814cc641..72df10aa 100644 --- a/configuration/parameters.md +++ b/configuration/parameters.md @@ -156,7 +156,7 @@ Description: The Datastore-Update-Interval parameter determines how long (in se Applies to: Webserver and Datastore Default Value: `false` Example: `Datastore-Insecure-Disable-TLS=true` -Description: The Datastore-Insecure-Disable-TLS parameter is used by both the webserver and the datastore. By default, the datastore listens for incoming HTTPS connections from webservers; setting this parameter to false makes the datastore expect plaintext HTTP and instructs the webservers to use HTTP. +Description: The Datastore-Insecure-Disable-TLS parameter is used by both the webserver and the datastore. By default, the datastore listens for incoming HTTPS connections from webservers; setting this parameter to true makes the datastore expect plaintext HTTP and instructs the webservers to use HTTP. **Datastore-Insecure-Skip-TLS-Verify** Applies to: Webserver @@ -234,7 +234,7 @@ Description: The Persist-Web-Logins parameter is used to inform the webse Applies to: Webserver Default Value: `60` Example: `Session-Timeout-Minutes=1440` -Description: The Session-Timeout-Minutes parameter controls how long a client can be idle before the webserver destroys the session. For example, if a client closes a browser without logging out, the system will wait for the specified time period before invalidating the session. The installers set this value to 1 day by default. +Description: The Session-Timeout-Minutes parameter controls how long a client can be idle before the webserver destroys the session. For example, if a client closes a browser without logging out, the system will wait for the specified time period before invalidating the session. The default value is 60 minutes, but most installers set this configuration value to 1 day by default. **Key-File** Applies to: Indexer, Datastore, and Webserver From aa2552cf4e34846aba051f51db93f128c87f9644 Mon Sep 17 00:00:00 2001 From: kristopher watts Date: Tue, 15 Dec 2020 09:22:05 -0700 Subject: [PATCH 18/29] documenting the cisco ISE preprocessor --- ingesters/preprocessors/preprocessors.md | 76 ++++++++++++++++++++++++ 1 file changed, 76 insertions(+) diff --git a/ingesters/preprocessors/preprocessors.md b/ingesters/preprocessors/preprocessors.md index 9228ab20..30383129 100644 --- a/ingesters/preprocessors/preprocessors.md +++ b/ingesters/preprocessors/preprocessors.md @@ -735,3 +735,79 @@ This example forwards entries via a TCP forwarder then drops them. [Preprocessor "dropit"] Type=Drop ``` + +## Cisco ISE Preprocessor + +The Cisco ISE logging system can be extremely difficult to work, this preprocessor is designed to help overcome some of the difficult challenges posed by both the format and transport of Cisco ISE logs. See the [Cisco Introduction to ISE Syslogs](https://www.cisco.com/c/en/us/td/docs/security/ise/syslog/Cisco_ISE_Syslogs/m_IntrotoSyslogs.pdf) for more information. + +The Cisco ISE preprocessor is named `cisco_ise` and supports the ability to reassemble multipart messages, reformat the messages into a more usable format, filter unwanted message pairs, and remove redundant message headers. + +### Attribute Filtering and Formatting + +The Cisco ISE logging system is designed to split a single message across multiple syslog messages. The multipart message format for remote Cisco ISE syslog messages appears to be designed to support legacy systems that cannot appropriately handle larger syslog messages (even though the syslog specification can support very large messages). Gravwell will handily accept messages that far exceed the maximum message size of syslog, however if you are supporting multiple targets for Cisco ISE messages is may be necessary to enable multipart messages. Disabling multipart messages in your cisco device and letting Gravwell handle large payloads will be far more efficient. + +### Supported Options + +* `Passthrough-Misses` (boolean, optional): If set to true, the preprocessor will pass along entries for which it was unable to extract a valid ISE message. By default, these entries are dropped. +* `Enable-Multipart-Reassembly` (boolean, optional): If set to true the preprocessor will attempt to reassemble messages that contain a Cisco remote message header. +* `Max-Multipart-Buffer` (uint64, optional): Specifies a maximum in-memory buffer to use when reassembling multipart messages, when the buffer is exceeded the oldest partially reassembled message will be sent to Gravwell. The default buffer size is 8MB. +* `Max-Multipart-Latency` (string, optional): Specifies a maximum time duration that a partially reassembled multipart message will be held before it is sent. Time spans should be specified in `ms` and `s` values. +* `Output-Format` (string, optional): Specifies the output format for sending ISE messages, the default format is `raw`, other options are `json` and `cef`. +* `Attribute-Drop-Filter` (string array, optional): Specifies globbing patterns that can be used to match against attributes within a message which will be removed from the output. The arguments must be [Unix Glob patterns](https://en.wikipedia.org/wiki/Glob_(programming)), many patterns can be specified. Attribute drop filters are not compatible with the `raw` output format. +* `Attribute-Strip-Header` (boolean, optional): Specifies that attributes with nested names and/or type information should have the header values stripped. This is extremely useful for cleaning up poorly formed attribute values. + + +### Example Configuration + +The following `cisco_ise` preprocessor configuration is designed to re-assemble multipart messages, remove unwanted `Step` attributes, and reform the output messages in the CEF format. It also strips the cisco attribute headers. + +``` +[preprocessor "iseCEF"] + Type=cisco_ise + Passthrough-Misses=false #if its malformed just drop it + Enable-Multipart-Reassembly=true + Attribute-Drop-Filters="Step*" + Attribute-Strip-Header=true + Output-Format=cef +``` + +An example output message using this configuration is: + +``` +CEF:0|CISCO|ISE_DEVICE|||Passed-Authentication|NOTICE| sequence=1 ode=5200 class=Passed-Authentication text=Authentication succeeded ConfigVersionId=44 DeviceIPAddress=8.8.8.8 DestinationIPAddress=1.2.3.4 DestinationPort=1645 UserName=user@company.com Protocol=Radius RequestLatency=10301 audit-session-id=0a700e191cff70005fbbf63f +``` + +The following `cisco_ise` preprocessor configuration is achieves a similar result, but it contains two attribute filters and re-formats the output message into JSON + +``` +[preprocessor "iseCEF"] + Type=cisco_ise + Passthrough-Misses=false #if its malformed just drop it + Enable-Multipart-Reassembly=true + Attribute-Drop-Filters="Step*" + Attribute-Strip-Header=true + Output-Format=json +``` + +An example output message using this configuration is: + +``` +{ + "TS":"2020-11-23T12:50:01.926-05:00", + "Sequence":1, + "ODE":"5200", + "Severity":"NOTICE", + "Class":"Passed-Authentication", + "Text":"Authentication succeeded", + "Attributes":{ + "AcsSessionID":"ISE_DEVICE/384429556/212087299", + "AuthenticationIdentityStore":"AzureBackup", + "AuthenticationMethod":"PAP_ASCII", + "AuthenticationStatus":"AuthenticationPassed", + "audit-session-id":"0a700e191cff70005fbbf63f", + "device-mac":"00-0c-29-74-9d-e8", + "device-platform":"win", + "device-platform-version":"10.0.17134", + } +} +``` From fbde2ffd967ca7c535562fa75424ecf2485a031f Mon Sep 17 00:00:00 2001 From: traetox Date: Tue, 15 Dec 2020 09:42:50 -0700 Subject: [PATCH 19/29] Update ingesters/preprocessors/preprocessors.md Co-authored-by: David Fritz --- ingesters/preprocessors/preprocessors.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ingesters/preprocessors/preprocessors.md b/ingesters/preprocessors/preprocessors.md index 30383129..05f02f7c 100644 --- a/ingesters/preprocessors/preprocessors.md +++ b/ingesters/preprocessors/preprocessors.md @@ -744,7 +744,7 @@ The Cisco ISE preprocessor is named `cisco_ise` and supports the ability to reas ### Attribute Filtering and Formatting -The Cisco ISE logging system is designed to split a single message across multiple syslog messages. The multipart message format for remote Cisco ISE syslog messages appears to be designed to support legacy systems that cannot appropriately handle larger syslog messages (even though the syslog specification can support very large messages). Gravwell will handily accept messages that far exceed the maximum message size of syslog, however if you are supporting multiple targets for Cisco ISE messages is may be necessary to enable multipart messages. Disabling multipart messages in your cisco device and letting Gravwell handle large payloads will be far more efficient. +The Cisco ISE logging system is designed to split a single message across multiple syslog messages. Gravwell will accept messages that far exceed the maximum message size of syslog, however if you are supporting multiple targets for Cisco ISE messages it may be necessary to enable multipart messages. Disabling multipart messages in your cisco device and letting Gravwell handle large payloads will be far more efficient. ### Supported Options From 0f7717bf7d50895971d7cf933366c84b87e15535 Mon Sep 17 00:00:00 2001 From: traetox Date: Tue, 15 Dec 2020 09:42:55 -0700 Subject: [PATCH 20/29] Update ingesters/preprocessors/preprocessors.md Co-authored-by: David Fritz --- ingesters/preprocessors/preprocessors.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ingesters/preprocessors/preprocessors.md b/ingesters/preprocessors/preprocessors.md index 05f02f7c..8fa21a65 100644 --- a/ingesters/preprocessors/preprocessors.md +++ b/ingesters/preprocessors/preprocessors.md @@ -740,7 +740,7 @@ This example forwards entries via a TCP forwarder then drops them. The Cisco ISE logging system can be extremely difficult to work, this preprocessor is designed to help overcome some of the difficult challenges posed by both the format and transport of Cisco ISE logs. See the [Cisco Introduction to ISE Syslogs](https://www.cisco.com/c/en/us/td/docs/security/ise/syslog/Cisco_ISE_Syslogs/m_IntrotoSyslogs.pdf) for more information. -The Cisco ISE preprocessor is named `cisco_ise` and supports the ability to reassemble multipart messages, reformat the messages into a more usable format, filter unwanted message pairs, and remove redundant message headers. +The Cisco ISE preprocessor is named `cisco_ise` and supports the ability to reassemble multipart messages, reformat the messages into a format more appropriate for Gravwell and modern syslog systems, filter unwanted message pairs, and remove redundant message headers. ### Attribute Filtering and Formatting From 5b214419ad0b17a8b34e97489601e941f84e9e0d Mon Sep 17 00:00:00 2001 From: traetox Date: Tue, 15 Dec 2020 09:43:02 -0700 Subject: [PATCH 21/29] Update ingesters/preprocessors/preprocessors.md Co-authored-by: David Fritz --- ingesters/preprocessors/preprocessors.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ingesters/preprocessors/preprocessors.md b/ingesters/preprocessors/preprocessors.md index 8fa21a65..bd59561c 100644 --- a/ingesters/preprocessors/preprocessors.md +++ b/ingesters/preprocessors/preprocessors.md @@ -738,7 +738,7 @@ This example forwards entries via a TCP forwarder then drops them. ## Cisco ISE Preprocessor -The Cisco ISE logging system can be extremely difficult to work, this preprocessor is designed to help overcome some of the difficult challenges posed by both the format and transport of Cisco ISE logs. See the [Cisco Introduction to ISE Syslogs](https://www.cisco.com/c/en/us/td/docs/security/ise/syslog/Cisco_ISE_Syslogs/m_IntrotoSyslogs.pdf) for more information. +The Cisco ISE preprocessor is designed to parse and accomodate the format and transport of Cisco ISE logs. See the [Cisco Introduction to ISE Syslogs](https://www.cisco.com/c/en/us/td/docs/security/ise/syslog/Cisco_ISE_Syslogs/m_IntrotoSyslogs.pdf) for more information. The Cisco ISE preprocessor is named `cisco_ise` and supports the ability to reassemble multipart messages, reformat the messages into a format more appropriate for Gravwell and modern syslog systems, filter unwanted message pairs, and remove redundant message headers. From cc7d015b1e0f7a44b9882b8c34f7c8cf032dc918 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Tue, 5 Jan 2021 15:06:26 -0700 Subject: [PATCH 22/29] 4.1.0 changelog --- changelog/4.1.0.md | 23 +++++++++++++++++++++++ changelog/list.md | 3 ++- 2 files changed, 25 insertions(+), 1 deletion(-) create mode 100644 changelog/4.1.0.md diff --git a/changelog/4.1.0.md b/changelog/4.1.0.md new file mode 100644 index 00000000..67566d46 --- /dev/null +++ b/changelog/4.1.0.md @@ -0,0 +1,23 @@ +# Changelog for version 4.1.0 + +### Released January 6 2021 + +## Web UI Changes +* Actionables now support templates with multiple variables +* Add Web UI based data ingester + +## Backend Changes +* Added indexer/webserver API version negotiation - SEE NOTE BELOW - THIS HAS POTENTIAL DEPLOYMENT CONSIDERATIONS +* Implemented Compound Queries, enabling sequential, in-order, queries that share data +* Added `enrich` module +* Updated `dump` module to support a temporal mode +* Queries now skip bad/corrupted blocks in shards, continue searching, issue a warning instead of just aborting the query +* Added the `repack` command to the CLI +* Changed the `CEF` module to not require non-header values to be prefixed with `Ext.` +* Fixed an issue where dynamically negotiated tags were not going to the correct well when using wildcards on that well + +## Ingesters & Ingest Library Changes +* Implemented a Cisco ISE log preprocessor + +## General/Miscellaneous +* Windows installers are now fully signed diff --git a/changelog/list.md b/changelog/list.md index 06613024..67c23c7f 100644 --- a/changelog/list.md +++ b/changelog/list.md @@ -2,10 +2,11 @@ ## Current Version -[4.0.4](4.0.4.md) +[4.1.0](4.1.0.md) ## Previous Versions +* [4.0.4](4.0.4.md) * [4.0.3](4.0.3.md) * [4.0.2](4.0.2.md) * [4.0.1](4.0.1.md) From f22c78a48fdee82763d2bc7bfb541248edc966e7 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Tue, 5 Jan 2021 15:09:50 -0700 Subject: [PATCH 23/29] note --- changelog/4.1.0.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/changelog/4.1.0.md b/changelog/4.1.0.md index 67566d46..eed3dfa2 100644 --- a/changelog/4.1.0.md +++ b/changelog/4.1.0.md @@ -21,3 +21,6 @@ ## General/Miscellaneous * Windows installers are now fully signed + +## Notes +* Beginning in version 4.1.0, the Gravwell indexer and webserver now negotiate and enforce an API version. This means that a 4.1.0 webserver cannot connect to an older indexer and vice versa. Consider all indexer and webserver versions before upgrading. From eb7343731cd09761d6066aa2e8308a1d4c00de6e Mon Sep 17 00:00:00 2001 From: David Fritz Date: Tue, 5 Jan 2021 15:11:38 -0700 Subject: [PATCH 24/29] Update 4.1.0.md --- changelog/4.1.0.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/changelog/4.1.0.md b/changelog/4.1.0.md index eed3dfa2..15757a8b 100644 --- a/changelog/4.1.0.md +++ b/changelog/4.1.0.md @@ -23,4 +23,4 @@ * Windows installers are now fully signed ## Notes -* Beginning in version 4.1.0, the Gravwell indexer and webserver now negotiate and enforce an API version. This means that a 4.1.0 webserver cannot connect to an older indexer and vice versa. Consider all indexer and webserver versions before upgrading. +* Beginning in version 4.1.0, the Gravwell indexer and webserver now negotiate and enforce API versioning. This means that a 4.1.0 webserver cannot connect to an older indexer and vice versa. Consider all indexer and webserver versions before upgrading. From 429b441d03a66e1e17726d2121392e53f2a72d96 Mon Sep 17 00:00:00 2001 From: David Fritz Date: Tue, 5 Jan 2021 15:18:50 -0700 Subject: [PATCH 25/29] Update 4.1.0.md --- changelog/4.1.0.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/changelog/4.1.0.md b/changelog/4.1.0.md index 15757a8b..781f6720 100644 --- a/changelog/4.1.0.md +++ b/changelog/4.1.0.md @@ -3,8 +3,10 @@ ### Released January 6 2021 ## Web UI Changes +* Allow multiple variables and default values in templates * Actionables now support templates with multiple variables * Add Web UI based data ingester +* The Web UI has been upgraded to use Angular 8 ## Backend Changes * Added indexer/webserver API version negotiation - SEE NOTE BELOW - THIS HAS POTENTIAL DEPLOYMENT CONSIDERATIONS From 80a8f20878019e6bdab4cfbb5cc7739713af884b Mon Sep 17 00:00:00 2001 From: Kris Watts Date: Tue, 5 Jan 2021 15:23:31 -0700 Subject: [PATCH 26/29] addressing issue 149 --- api/ingest.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/api/ingest.md b/api/ingest.md index cf9a0d5f..116c11a4 100644 --- a/api/ingest.md +++ b/api/ingest.md @@ -24,8 +24,9 @@ To ingest user-provided data, the line-delimited file API is the simplest option * A file part named `file` containing the user-provided file * A field named `tag` containing the desired ingest tag +* An optional field `source`; setting this will override the source value on entries. This field must be a properly formed IPv4 or IPv6 address. * An optional field `noparsetimestamp`; setting this to "true" will force entries to be ingested with the current timestamp rather than attempting to parse one from each entry. * An optional field `assumelocaltimezone`; setting this to "true" means timestamps extracted from entries will assume to be in the local timezone (instead of UTC) if the timezone is not explicitly specified. The uploaded file will be split by newlines. Each line will be ingested as an individual entry. - \ No newline at end of file + From f5ecc9d3842e2e81d532aad10a0219d18cc64117 Mon Sep 17 00:00:00 2001 From: Kris Watts Date: Tue, 5 Jan 2021 16:02:40 -0700 Subject: [PATCH 27/29] addressing issue #147 --- api/kits.md | 45 +++++++++++++++++++++++++++++++++++---------- 1 file changed, 35 insertions(+), 10 deletions(-) diff --git a/api/kits.md b/api/kits.md index 55495300..c1f3994d 100644 --- a/api/kits.md +++ b/api/kits.md @@ -29,18 +29,24 @@ type KitBuildRequest struct { Name string Description string Version uint - Dashboards []uint64 + MinVersion CanonicalVersion + MaxVersion CanonicalVersion + Dashboards []uint64 Templates []uuid.UUID Pivots []uuid.UUID + Resources []string + ScheduledSearches []int32 + Macros []uint64 + Extractors []uuid.UUID Files []uuid.UUID - Resources []string - ScheduledSearches []int32 - Macros []uint64 - SearchLibraries []uuid.UUID - Extractors []uuid.UUID - Icon string - Dependencies []KitDependency - ConfigMacros []KitConfigMacro + SearchLibraries []uuid.UUID + Playbooks []uuid.UUID + EmbeddedItems []KitEmbeddedItem + Icon string + Banner string + Cover string + Dependencies []KitDependency + ConfigMacros []KitConfigMacro ScriptDeployRules map[int32]ScriptDeployConfig } ``` @@ -63,6 +69,7 @@ Note that while the ID, Name, Description, and Version fields are required, the "Description": "Test Gravwell kit", "ID": "io.gravwell.test", "Name": "test-gravwell", + "Description":"testing\n\n## TESTING", "Pivots": [ "ae9f2598-598f-4859-a3d4-832a512b6104" ], @@ -72,6 +79,23 @@ Note that while the ID, Name, Description, and Version fields are required, the "ScheduledSearches": [ 1439174790 ], + "EmbeddedItems":[ + { + "Name":"TEST", + "Type":"license", + "Content":"VGVzdCBsaWNlbnNlIHRoYXQgYWxsb3dzIEdyYXZ3ZWxsIHRvIGdpdmUgeW91ciBmaXJzdCBib3JuIHNvbiBhIHN0ZXJuIHRhbGtpbmcgdG8h" + } + ], + "Files":[ + "810a014d-1373-4d57-95b6-0638a7a01442", + "09a26a2e-e449-4857-88d1-56cede1b8d95", + "92bcfe5e-2c9a-4f39-9083-dd3f7a6f9738" + ], + "MinVersion":{"Major":4,"Minor":0,"Point":0}, + "MaxVersion":{"Major":4,"Minor":2,"Point":0}, + "Icon":"810a014d-1373-4d57-95b6-0638a7a01442", + "Banner":"09a26a2e-e449-4857-88d1-56cede1b8d95", + "Cover":"92bcfe5e-2c9a-4f39-9083-dd3f7a6f9738", "ScriptDeployRules": { "1439174790": { "Disabled": true, @@ -80,11 +104,12 @@ Note that while the ID, Name, Description, and Version fields are required, the }, "Version": 1 } - ``` Attention: The UUIDs specified for templates, pivots, and userfiles should be the *GUIDs* associated with those structures, not the *ThingUUID* field which is also reported in a listing of items. +Attention: The UUIDs specified for Banner, Cover, and Icon must be included in the list of Files for the build request. If the build request contains references to file UUIDs that are NOT included in the main file request the API server will reject the request. + The system will respond with a structure describing the newly-built kit: ``` From 5ff02e39788d5cab8c4aeb2e4f3ea6726bae1e55 Mon Sep 17 00:00:00 2001 From: traetox Date: Tue, 5 Jan 2021 16:15:55 -0700 Subject: [PATCH 28/29] Update 4.1.0.md adding a few items --- changelog/4.1.0.md | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/changelog/4.1.0.md b/changelog/4.1.0.md index 781f6720..68d02f87 100644 --- a/changelog/4.1.0.md +++ b/changelog/4.1.0.md @@ -11,12 +11,18 @@ ## Backend Changes * Added indexer/webserver API version negotiation - SEE NOTE BELOW - THIS HAS POTENTIAL DEPLOYMENT CONSIDERATIONS * Implemented Compound Queries, enabling sequential, in-order, queries that share data -* Added `enrich` module +* Added [enrich](#!search/enrich/enrich.md) module * Updated `dump` module to support a temporal mode * Queries now skip bad/corrupted blocks in shards, continue searching, issue a warning instead of just aborting the query * Added the `repack` command to the CLI * Changed the `CEF` module to not require non-header values to be prefixed with `Ext.` -* Fixed an issue where dynamically negotiated tags were not going to the correct well when using wildcards on that well +* Enhanced query recovery when a back storage block is encountered, queries will no longer fail. +* Updated SAML system to address protential security issue related to Golang XML parsing. +* Added Archive download time for saving query results in importable form. +* Enhanced reliability to search modules when encountering an unknown fault, query modules will not halt the search and inform the user. +* Fixed issue in anko scripts where `toDuration` was not handling some types correctly. +* Added `categorize` flag to the [ip](#!search/ip/ip.md#Supported_Options) module. + ## Ingesters & Ingest Library Changes * Implemented a Cisco ISE log preprocessor From 1fb4aa412e0f8403ea400a4731e80f64cede0235 Mon Sep 17 00:00:00 2001 From: Kris Watts Date: Tue, 5 Jan 2021 17:07:38 -0700 Subject: [PATCH 29/29] updating SHA256 and download links for 4.1.0 release --- quickstart/downloads.md | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/quickstart/downloads.md b/quickstart/downloads.md index 0be6d597..6900b425 100644 --- a/quickstart/downloads.md +++ b/quickstart/downloads.md @@ -6,7 +6,7 @@ Attention: The debian repository is more easily maintained than these standalone The Gravwell core installer contains the indexer and webserver frontend. You'll need a license; either get a Community Edition free license, or contact info@gravwell.io for commercial options. -[Download Gravwell Core Installer](https://update.gravwell.io/files/gravwell_4.0.3.sh) (SHA256: 7eb940e64d0e484487322c5e31b2049f029930d1f2533574486d86391cfbc6af) +[Download Gravwell Core Installer](https://update.gravwell.io/files/gravwell_4.1.0.sh) (SHA256: 7eb940e64d0e484487322c5e31b2049f029930d1f2533574486d86391cfbc6af) ## Ingesters @@ -15,20 +15,20 @@ The core suite of ingesters are available for download as an installable package ### Current Ingester Releases | Ingester | Description | SHA256 | More Info | |:--------:|-------------|:------:|----------:| -| [Simple Relay](#!ingesters/ingesters.md#Simple_Relay) | An ingester capable of accepting syslog or line brokend data sent over the network. |faa2c50a080cba0420f0aaecea170ea0a028eaa80e77529cc15c7c6845e2a2f2| [Download](https://update.gravwell.io/files/gravwell_simple_relay_installer_4.0.3.sh)| -| [File Follower](#!ingesters/ingesters.md#File_Follower) | The standard file following ingester designed to look for line broken log entries in files. Useful for ingesting logs from systems that can only log to files. |f0edf678f85d76d894082e3ec20fe9cf1f1c4cdfd1f60e126276f6a58dcca099| [Download](https://update.gravwell.io/files/gravwell_file_follow_installer_4.0.3.sh) | -| [HTTP Ingester](#!ingesters/ingesters.md#HTTP_POST) | The HTTP ingester allows for hosting a simple webserver that takes HTTP requests in as events. SOHO and IOT devices often support webhook functionality which the HTTP ingester is perfectly suited to support. |788286684fd94970acd82b23f5a2e48a4adb4c405b6aef6bdabc1e8a7aef671c| [Download](https://update.gravwell.io/files/gravwell_http_ingester_installer_4.0.3.sh) | -| [Netflow Capture](#!ingesters/ingesters.md#Netflow_Ingester) | The Netflow Capture ingester acts as a Netflow v5, v9, and ipfix collector, ingesting Netflow records as Gravwell entries. |a915562df294e0010866524e7abe0d57a1c5e5add2fa60886b2b6ca0cc9118d2| [Download](http://update.gravwell.io/files/gravwell_netflow_capture_installer_4.0.3.sh) | -| [Network Capture](#!ingesters/ingesters.md#Network_Ingester) | The Network Capture ingester is a passive network sniffing ingester which can bind to multiple network taps and send raw network traffic to Gravwell. |e4f1b85a61343c449675daaa57fef7c67336b8632ddf1e0610c6f36b4d64ccf0| [Download](https://update.gravwell.io/files/gravwell_network_capture_installer_4.0.3.sh) | -| [Collectd Collector](#!ingesters/ingesters.md#collectd) | The collectd ingester acts as a standalone collectd collector. |f1c3bcb200c78dbb03ab42f7731ee31203d1d3512e1586f2977841c527ea844e| [Download](https://update.gravwell.io/files/gravwell_collectd_installer_4.0.3.sh) | -| [Ingest Federator](#!ingesters/ingesters.md#Federator_Ingester) | The Federator ingester is designed to aggregate multiple downstream ingesters and relay entries to upstream ingestion points. The Federator is useful for crossing trust boundaries, aggregating entry flows, and insulating Gravwell indexers from potentially untrusted downstream entry generators. |115bf449f3f86d5d4cef176087ece383d33caf5d0f48b14a360c60ed2a540866| [Download](https://update.gravwell.io/files/gravwell_federator_installer_4.0.3.sh) | -| [Windows Events](#!ingesters/ingesters.md#Windows_Event_Service) | The Winevent ingester uses the Windows events subsystem to acquire windows events and ship them to gravwell. The Winevent ingester can be placed on a single Windows machine acting as a log collector, or on multiple endpoints. |e92965d04e76b3496fcfde4a90d52a9f8b80227a730f35ad2353db9c604cbf70| [Download](https://update.gravwell.io/files/gravwell_win_events_4.0.0.msi) | -| [Windows File Follower](#!ingesters/ingesters.md#File_Follower) | The Windows file follower is identical to the File Follower ingester, but for Windows. |570ff54992c8adac171bc4ca0dd724571d2e91d4af0c1a8b8e1f627f7c19ef2f| [Download](https://update.gravwell.io/files/gravwell_file_follow_4.0.2.msi) | -| [Apache Kafka](#!ingesters/ingesters.md#Kafka) | The Apache Kafka ingester can attach to one or many Kafka clusters and read topics. It can simplify massive deployments. |412fd43c4ce96a80b9532d350beebd1532631d46362dfc3f79ecc7dbd795c62b| [Download](https://update.gravwell.io/files/gravwell_kafka_installer_4.0.3.sh)| -| [Amazon Kinesis](#!ingesters/ingesters.md#Kinesis_Ingester) | The Amazon Web Services Kinesis ingester can attach to the Kinesis stream and dramatically simplify logging a cloud deployment |befe68036d039a07daf8405eef351685a591acac7a90c457967dd95183d2f015| [Download](https://update.gravwell.io/files/gravwell_kinesis_ingest_installer_4.0.3.sh)| -| [Google PubSub](#!ingesters/ingesters.md#GCP_PubSub) | The Google Cloud Platform PubSub Ingester can subscribe to exhausts on the GCP PubSub system, easing integration with GCP. |749b78312e15a8afbec4e74a6e4cf7627e907ff0fd75b91d836713f18b8063a8| [Download](https://update.gravwell.io/files/gravwell_pubsub_ingest_installer_4.0.3.sh)| -| [Office 365 Logs](#!ingesters/ingesters.md#Office_365_Log_Ingester) | The Office 365 log ingester can fetch log events from Microsoft Office 365. |1ac5707f46e684d15b2947226bcdd35a61c382d8ffef6d9d81b3ad7a45ab5d52| [Download](https://update.gravwell.io/files/gravwell_o365_installer_4.0.3.sh)| -| [Microsoft Graph API](#!ingesters/ingesters.md#Microsoft_Graph_API_Ingester) | The MS Graph API ingester can fetch security information from the Microsoft Graph API. |2c43101e9e4514f0248be18fc9499d9b12895a80136975c9651c7f1c1cd85448| [Download](https://update.gravwell.io/files/gravwell_msgraph_installer_4.0.3.sh)| +| [Simple Relay](#!ingesters/ingesters.md#Simple_Relay) | An ingester capable of accepting syslog or line brokend data sent over the network. |326381d3130ff1f4598a09c53d54f2e34101838aa55f97b155b57498f50c4324| [Download](https://update.gravwell.io/files/gravwell_simple_relay_installer_4.1.0.sh)| +| [File Follower](#!ingesters/ingesters.md#File_Follower) | The standard file following ingester designed to look for line broken log entries in files. Useful for ingesting logs from systems that can only log to files. |a86458b4f8cb1ac9234aeb6a1e823b736616a3e5ae7e97308ee9bd1955a8eb02| [Download](https://update.gravwell.io/files/gravwell_file_follow_installer_4.1.0.sh) | +| [HTTP Ingester](#!ingesters/ingesters.md#HTTP_POST) | The HTTP ingester allows for hosting a simple webserver that takes HTTP requests in as events. SOHO and IOT devices often support webhook functionality which the HTTP ingester is perfectly suited to support. |9221730929c26dfc47b1d0e8143257067e1e655ecb9823aa202b49619355c0e7| [Download](https://update.gravwell.io/files/gravwell_http_ingester_installer_4.1.0.sh) | +| [Netflow Capture](#!ingesters/ingesters.md#Netflow_Ingester) | The Netflow Capture ingester acts as a Netflow v5, v9, and ipfix collector, ingesting Netflow records as Gravwell entries. |d463c64cdd30a1cc220b3dfb0a24ccd0776d71cc9e4feb743dc0bcb90af07a9d| [Download](http://update.gravwell.io/files/gravwell_netflow_capture_installer_4.1.0.sh) | +| [Network Capture](#!ingesters/ingesters.md#Network_Ingester) | The Network Capture ingester is a passive network sniffing ingester which can bind to multiple network taps and send raw network traffic to Gravwell. |ceb19983d7fb979a0eb2dafb68b6aa3d178e803d919a6c50ff2f333c6f8af0e5| [Download](https://update.gravwell.io/files/gravwell_network_capture_installer_4.1.0.sh) | +| [Collectd Collector](#!ingesters/ingesters.md#collectd) | The collectd ingester acts as a standalone collectd collector. |8cbd256e1453f5c675d0646136cdb90c2dd46f9b1cc603ccd621cf4d7f527194| [Download](https://update.gravwell.io/files/gravwell_collectd_installer_4.1.0.sh) | +| [Ingest Federator](#!ingesters/ingesters.md#Federator_Ingester) | The Federator ingester is designed to aggregate multiple downstream ingesters and relay entries to upstream ingestion points. The Federator is useful for crossing trust boundaries, aggregating entry flows, and insulating Gravwell indexers from potentially untrusted downstream entry generators. |a43524994e43827612e73bc93c8dd413c8c47f141833a76b533f35028cb2f6c4| [Download](https://update.gravwell.io/files/gravwell_federator_installer_4.1.0.sh) | +| [Windows Events](#!ingesters/ingesters.md#Windows_Event_Service) | The Winevent ingester uses the Windows events subsystem to acquire windows events and ship them to gravwell. The Winevent ingester can be placed on a single Windows machine acting as a log collector, or on multiple endpoints. |0044bc4b2a323ad2652400dd8b489acb18d5ae2519a3add7cdb8e62258219d04| [Download](https://update.gravwell.io/files/gravwell_win_events_4.1.0.msi) | +| [Windows File Follower](#!ingesters/ingesters.md#File_Follower) | The Windows file follower is identical to the File Follower ingester, but for Windows. |7ab90e5c573b27a5d677ef35ecf3141b88a0b5745b0bfd08291960f8c14397ff| [Download](https://update.gravwell.io/files/gravwell_file_follow_4.1.0.msi) | +| [Apache Kafka](#!ingesters/ingesters.md#Kafka) | The Apache Kafka ingester can attach to one or many Kafka clusters and read topics. It can simplify massive deployments. |3e70a2f12782435dfc0314823d9826aad37aa90bba25dfe821309e0869d97c50| [Download](https://update.gravwell.io/files/gravwell_kafka_installer_4.1.0.sh)| +| [Amazon Kinesis](#!ingesters/ingesters.md#Kinesis_Ingester) | The Amazon Web Services Kinesis ingester can attach to the Kinesis stream and dramatically simplify logging a cloud deployment |4427093e3c6f6c0e0caa1c6dbbc7310ddc574d60ac26b9a8bffea6b060d2baa9| [Download](https://update.gravwell.io/files/gravwell_kinesis_ingest_installer_4.1.0.sh)| +| [Google PubSub](#!ingesters/ingesters.md#GCP_PubSub) | The Google Cloud Platform PubSub Ingester can subscribe to exhausts on the GCP PubSub system, easing integration with GCP. |0dd2e15debaa55deffacaed806da8adacb20e5c97206af1054c593b553992bcc| [Download](https://update.gravwell.io/files/gravwell_pubsub_ingest_installer_4.1.0.sh)| +| [Office 365 Logs](#!ingesters/ingesters.md#Office_365_Log_Ingester) | The Office 365 log ingester can fetch log events from Microsoft Office 365. |6a8c9cee0e48898b848c1339becad72993462022d2debbdffc7e8958a5b9ebfd| [Download](https://update.gravwell.io/files/gravwell_o365_installer_4.1.0.sh)| +| [Microsoft Graph API](#!ingesters/ingesters.md#Microsoft_Graph_API_Ingester) | The MS Graph API ingester can fetch security information from the Microsoft Graph API. |4dbdbe3fed9ca10460ce3e2d5087681161513e743aa386f86d07b75cca15a218| [Download](https://update.gravwell.io/files/gravwell_msgraph_installer_4.1.0.sh)| [//]: <> (| [](#!ingesters/ingesters.md#) | | | [Download](https://update.gravwell.io/files/) |) @@ -38,6 +38,6 @@ Some Gravwell components are distributed as optional additional installers, such | Component | Description | SHA256 | More Info | |:---------:|-------------|:------:|----------:| -| [Datastore](#!distributed/frontend.md) | The datastore keeps multiple Gravwell webservers in sync, enabling load balancing |3624fc91cebf8ef11e7687225abbbed97f3560ad79f1ccda405b3f25193f1e1d| [Download](https://update.gravwell.io/files/gravwell_datastore_installer_4.0.3.sh) | -| [Offline Replicator](#!configuration/replication.md) | The offline replication server acts as a standalone replication peer, it will not participate in queries and is best paired with single indexer Gravwell installations |6fc00b565fc1263c49154a641b6e19aad628c61120c74f565b27aefc31e80250| [Download](https://update.gravwell.io/files/gravwell_offline_replication_installer_4.0.3.sh) | -| Load Balancer | The load balancer provides a Gravwell-specific HTTP load balancing solution for fronting multiple Gravwell webservers. It connects to the datastore in order to get a list of Gravwell webservers. |ecdef85d18c0025daca2b54e4414094e1dc4e1ded78cbf5c4bba2b932136ce1b| [Download](https://update.gravwell.io/files/gravwell_loadbalancer_installer_4.0.3.sh) | +| [Datastore](#!distributed/frontend.md) | The datastore keeps multiple Gravwell webservers in sync, enabling load balancing |7f26b1a37747c0a66aeaa2b87871dcedd2e50fe233f62dbdfc7abfc0fdb87056| [Download](https://update.gravwell.io/files/gravwell_datastore_installer_4.1.0.sh) | +| [Offline Replicator](#!configuration/replication.md) | The offline replication server acts as a standalone replication peer, it will not participate in queries and is best paired with single indexer Gravwell installations |bcf6755b740b6632b2d2f8f12f52915ac4218e722d8ef696cc8accd0cc34af31| [Download](https://update.gravwell.io/files/gravwell_offline_replication_installer_4.1.0.sh) | +| Load Balancer | The load balancer provides a Gravwell-specific HTTP load balancing solution for fronting multiple Gravwell webservers. It connects to the datastore in order to get a list of Gravwell webservers. |90ec7d1a85fb436dfdb47259bcf4d3c35726e52be73401be2201b48abf1c2e4f| [Download](https://update.gravwell.io/files/gravwell_loadbalancer_installer_4.1.0.sh) |