This folder contains the implementation of the analyzer.
The IKOS Analyzer is an abstract interpretation-based static analyzer that aims at proving the absence of runtime errors in C and C++ programs. See Checks for the full list of available checks.
IKOS Analyzer can be installed independently from the other components, but we recommend to build the analyzer from the root directory. To do so, follow the instructions in the root README.md.
To build and run the analyzer, you will need the following dependencies:
- A C++ compiler that supports C++14 (gcc >= 4.9.2 or clang >= 3.4)
- CMake >= 3.4.3
- GMP >= 4.3.1
- Boost >= 1.55
- Python 2 >= 2.7.3 or Python 3 >= 3.3
- SQLite >= 3.6.20
- LLVM and Clang 8.0.x
- (Optional) APRON >= 0.9.10
- (Optional) Pygments
- IKOS Core
- IKOS AR
- IKOS LLVM Frontend
To build and install the analyzer, run the following commands in the analyzer
directory:
$ mkdir build
$ cd build
$ cmake \
-DCMAKE_INSTALL_PREFIX=/path/to/analyzer-install-directory \
-DLLVM_CONFIG_EXECUTABLE=/path/to/llvm/bin/llvm-config \
-DCORE_ROOT=/path/to/core-install-directory \
-DAR_ROOT=/path/to/ar-install-directory \
-DFRONTEND_LLVM_ROOT=/path/to/frontend-llvm-install-directory \
..
$ make
$ make install
To build and run the tests, simply type:
$ make check
To build the documentation, you will need Doxygen.
Then, simply type:
$ make doc
$ open doc/html/index.html
Suppose we want to analyze the following C program in a file, called loop.c:
1: #include <stdio.h>
2: int a[10];
3: int main(int argc, char *argv[]) {
4: size_t i = 0;
5: for (;i < 10; i++) {
6: a[i] = i;
7: }
8: a[i] = i;
9: printf("%i", a[i]);
10: }
To analyze this program with IKOS, simply run:
$ ikos loop.c
You shall see the following output. IKOS reports two occurrences of buffer overflow at line 8 and 9.
[*] Compiling loop.c
[*] Running ikos preprocessor
[*] Running ikos analyzer
[*] Translating LLVM bitcode to AR
[*] Running liveness analysis
[*] Running fixpoint profile analysis
[*] Running interprocedural value analysis
[*] Analyzing entry point 'main'
[*] Checking properties for entry point 'main'
# Time stats:
clang : 0.037 sec
ikos-analyzer: 0.023 sec
ikos-pp : 0.007 sec
# Summary:
Total number of checks : 7
Total number of unreachable checks : 0
Total number of safe checks : 5
Total number of definite unsafe checks: 2
Total number of warnings : 0
The program is definitely UNSAFE
# Results
loop.c: In function 'main':
loop.c:8:10: error: buffer overflow, trying to access index 10 of global variable 'a' of 10 elements
a[i] = i;
^
loop.c: In function 'main':
loop.c:9:18: error: buffer overflow, trying to access index 10 of global variable 'a' of 10 elements
printf("%i", a[i]);
^
The ikos
command takes a source file (.c
, .cpp
) or a LLVM bitcode file (.bc
) as input, analyzes it to find runtime errors (also called undefined behaviors), creates a result database output.db
in the current working directory and prints a report.
In the report, each line has one of the following status:
- safe: the statement is proven safe;
- error: the statement always results into an error;
- unreachable: the statement is never executed (dead code);
- warning may mean three things:
- the statement results into an error for some executions, or
- the static analyzer did not have enough information to conclude (check dependent on an external input, for instance), or
- the static analyzer was not powerful enough to prove the absence of errors;
By default, ikos shows warnings and errors directly in your terminal, like a compiler would do.
If the analysis report is too big, you shall use:
ikos-report output.db
to examine the report in your terminalikos-view output.db
to examine the report in a web interface
To run IKOS on a large project, you shall use ikos-scan.
ikos-scan is a command line utility that runs the static analyzer over a codebase after performing a regular build.
The ikos-scan command works by overriding the environment variables CC
and CXX
to intercept the compiler commands. Behind the scene, it builds the original program as well as the LLVM bitcode file that is necessary to run the analyzer.
To use ikos-scan, just prefix your build commands with ikos-scan
. For instance, to analyze pkg-config:
$ tar xf pkg-config-0.29.2.tar.gz
$ cd pkg-config-0.29.2
$ ikos-scan ./configure
[...]
$ ikos-scan make
[...]
Analyze pkg-config? [Y/n]
ikos-scan will produce a .bc
file for each executable in your project. You can analyze them with specific options using ikos [options] program.bc
.
This section describes the most relevant options of the analyzer.
The list of available checks are:
- buffer overflow analysis,
-a=boa
: checks for buffer overflows and out-of-bound array accesses. - division by zero analysis,
-a=dbz
: checks for integer divisions by zero. - null pointer analysis,
-a=nullity
: checks for null pointer dereferences. - assertion prover,
-a=prover
: prove user-defined properties, using__ikos_assert(condition)
. - unaligned pointer analysis,
-a=upav
: checks for unaligned pointer dereferences. - uninitialized variable analysis,
-a=uva
: checks for read of uninitialized variables. - signed integer overflow analysis,
-a=sio
: checks for signed integer overflows. - unsigned integer overflow analysis,
-a=uio
: checks for unsigned integer overflows. - shift count analysis,
-a=shc
: checks for invalid shifts, where the amount shifted is greater or equal to the bit-width of the left operand, or less than zero. - pointer overflow analysis,
-a=poa
: checks for pointer arithmetic overflows. - pointer comparison analysis,
-a=pcmp
: checks for pointer comparisons between pointers referring to different objects. - soundness analysis,
-a=sound
: checks for instructions that could make the analysis unsound, i.e miss bugs. - function call analysis,
-a=fca
: checks for function calls through function pointers of the wrong type. - dead code analysis,
-a=dca
: checks for unreachable statements. - double free analysis,
-a=dfa
: checks for double free, invalid free, use after free and use after return.
By default, all the checks are enabled except:
- unaligned pointer analysis, because it needs a congruence domain to generate meaningful results. See Numerical abstract domains.
- uninitialized variable analysis, because it currently generates a lot of false positives.
- unsigned integer overflow analysis, because it is not an undefined behavior according to the C standard.
- pointer overflow analysis, because it is redundant with the buffer overflow analysis.
If you want to run specific checks, use the -a
parameter:
$ ikos -a=boa,nullity test.c
Note that you can use the wildcard character *
, +
and -
:
$ ikos -a='*,-sio' test.c
In this example, all the checks are enabled except signed integer overflow checks.
IKOS is based on the theory of Abstract Interpretation. The analysis uses a numerical abstract domain internally to model integer variables.
The list of available numerical abstract domains are:
-d=interval
: The interval domain, see CC77.-d=congruence
: The congruence domain, see Gra89.-d=interval-congruence
: The reduced product of interval and congruence.-d=dbm
: The Difference-Bound Matrices domain, see PADO01.-d=var-pack-dbm
: The Difference-Bound Matrices domain with variable packing, see VMCAI16.-d=var-pack-dbm-congruence
: The reduced product of DBM with variable packing and congruence.-d=gauge
: The gauge domain, see CAV12.-d=gauge-interval-congruence
: The reduced product of gauge, interval and congruence.-d=apron-interval
: The APRON interval domain, see Box.-d=apron-octagon
: The APRON octagon domain, see Oct.-d=apron-polka-polyhedra
: The APRON polka polyhedra domain, see NewPolka.-d=apron-polka-linear-equalities
: The APRON polka linear equalities domain, see NewPolka.-d=apron-ppl-polyhedra
: The APRON PPL polyhedra domain, see PPL.-d=apron-ppl-linear-congruences
: The APRON PPL linear congruences domain, see PPL.-d=apron-pkgrid-polyhedra-lin-cong
: The APRON Pkgrid polyhedra and linear congruences domain, see Pkgrid.-d=var-pack-apron-octagon
: The APRON octagon domain with variable packing.-d=var-pack-apron-polka-polyhedra
: The APRON Polka polyhedra domain with variable packing.-d=var-pack-apron-polka-linear-equalities
: The APRON Polka linear equalities domain with variable packing.-d=var-pack-apron-ppl-polyhedra
: The APRON PPL polyhedra domain with variable packing.-d=var-pack-apron-ppl-linear-congruences
: The APRON PPL linear congruences domain with variable packing.-d=var-pack-apron-pkgrid-polyhedra-lin-cong
: The APRON Pkgrid polyhedra and linear congruences domain with variable packing.
By default, IKOS uses the fastest and least precise numerical domain, the interval domain. If you want to run the analysis with a specific domain, use the -d
parameter:
$ ikos -d=var-pack-dbm test.c
For most users, we recommend to analyze your project with the fastest and least precise domain (i.e, interval) first, and then try slower but more precise domains until the analysis is too long for you. This is the best way to reach a low rate of false positives (i.e, warnings).
Here is a list of numerical domains, sorted from the fastest and least precise to the slowest and most precise:
-d=interval
-d=gauge-interval-congruence
-d=var-pack-dbm
-d=var-pack-apron-octagon
-d=var-pack-apron-ppl-polyhedra
-d=dbm
-d=apron-octagon
-d=apron-ppl-polyhedra
You should consider running different analyses in this specific order.
Please also note that:
- Floating point variables are safely ignored.
- In order to use the APRON abstract domain, you need to build IKOS with APRON first. See APRON Support.
By default, IKOS assumes the entry point of the program is main
. You can specify a list of entry points using the --entry-points
parameter:
$ ikos --entry-points=foo,bar test.c
The parameter --opt
allows you to set the optimization level. Optimizations are performed by running a set of LLVM passes on the analyzed code.
Available levels are:
- none: Disable all optimizations.
- basic: Basic set of optimizations (similar to
-O1
). This is the default value. - aggressive: Aggressive optimizations (similar to
-O3
). This is not recommended since it might hide errors. The translation from LLVM to AR might fail because of unsupported instructions.
An inter-procedural analysis analyzes a function considering its call stack while an intra-procedural analysis ignores it. The former produces more precise results than the latter but it is often much more expensive.
By default, IKOS performs an inter-procedural analysis. Use --proc=intra
to perform an intra-procedural analysis.
Each analysis can be executed using one of the following levels of precision, presented from the coarsest (and cheapest) to the most precise (and most expensive):
- reg: models only integers.
- ptr: models integers and pointers.
- mem: models integers, pointers and memory contents.
By default, IKOS uses the precision mem
. Provide --prec {reg,ptr,mem}
if you want to use another level of precision.
In C code for embedded systems, it is usual to read or write at specific addresses to communicate with the hardware. By default, IKOS treats memory accesses at specific addresses as errors.
You can provide the --hardware-addresses
parameter to specify a range of valid memory addresses:
$ ikos --hardware-addresses=0x20-0x40 project.bc
During the analysis, IKOS will assume that memory accesses in the range [0x20, 0x40]
(in bytes, inclusive) are safe.
--globals-init
: use the given strategy for initialization of global variables.--no-init-globals
: disable global variable initialization for the given entry points.--no-liveness
: disable the liveness analysis.--no-pointer
: disable the pointer analysis.--no-fixpoint-profiles
: disable the detection of widening hints.--no-fixpoint-cache
: disable the cache of fixpoint for called functions.--argc
: specify the value ofargc
for the analysis.--no-libc
: do not use libc intrinsics. Useful for bare metal programming.
See ikos --help
for more information.
This section describes the most relevant report options supported by ikos
and ikos-report
.
You can specify the format of the report using the --format
(or -f
) parameter.
Available formats are:
- text: Text format, convenient for the terminal;
- csv: CSV format, convenient for spreadsheet import;
- json: JSON format, convenient for developers.
- web: Web interface, using ikos-view.
- no: Disable the report.
By default, if the report has less than 15 entries, it will be printed out using the text format.
We recommend to use ikos-view to examine reports of large projects.
By default, the report is generated on the standard output. You can write it into a file using --report-file=/path/to/report
Use --status-filter
to filter unwanted checks.
Possible values are: error, warning, safe, unreachable.
Note that you can use the wildcard character *
, +
and -
.
Use --analyses-filter
to filter unwanted checks.
Possible values are described in Checks.
Note that you can use the wildcard character *
, +
and -
. For instance:
$ ikos-report --analyses-filter='*,-boa' output.db
This will generate a report with all the checks, except buffer overflows.
Use --report-verbosity [1-4]
to specify the verbosity. A verbosity of one will give you very short messages, where a verbosity of 4 will provide you with all the information the analyzer has.
See ikos-report --help
for more information.
APRON is a C library for static analysis using Abstract Interpretation. It implements several complex abstract domains, such as the Polyhedra domain.
IKOS provides a wrapper for APRON, allowing you to use any APRON abstract domain in the analyzer.
To use APRON, first download, build and install it. Consider using the svn trunk. You will also need to build APRON with Parma Polyhedra Library enabled. Set HAS_PPL = 1
and define PPL_PREFIX
in your Makefile.config
Now, to build IKOS with APRON support, just provide the option -DAPRON_ROOT=/path/to/apron-install
when running cmake. For instance:
cmake \
-DCMAKE_INSTALL_PREFIX=/path/to/ikos-install \
-DAPRON_ROOT=/path/to/apron-install \
..
See Numerical abstract domains for the list of numerical abstract domains.
ikos-view provides a web interface to examine IKOS results. It is available directly in the analyzer.
The web interface shows the source code with syntax highlighting, and allows you to filter the warnings by checks.
To use ikos-view, first run the analyzer on your project to generate a result database output.db
, then simply run:
$ ikos-view output.db
It will start a web server. You can then launch your favorite web browser and visit http://localhost:8080
Note that if you want syntax highlighting, you will need to install Pygments:
$ pip install --user pygments
The following illustrates the directory structure of this folder:
.
├── doc
│ └── doxygen
│ └── latex
├── include
│ └── ikos
│ └── analyzer
│ ├── analysis
│ │ ├── execution_engine
│ │ ├── pointer
│ │ └── value
│ ├── checker
│ ├── database
│ │ └── table
│ ├── json
│ ├── support
│ └── util
├── python
│ └── ikos
│ └── view
│ ├── static
│ │ ├── css
│ │ └── js
│ └── template
├── script
├── src
│ ├── analysis
│ │ ├── pointer
│ │ └── value
│ │ └── machine_int_domain
│ ├── checker
│ ├── database
│ │ └── table
│ ├── json
│ └── util
└── test
└── regression
Contains Doxygen files.
- include/ikos/analyzer/intrinsic.h contains definition of IKOS intrinsics that can be used in analyzed source code.
-
include/ikos/analyzer/analysis/call_context.hpp contains definition of a call context and the call context factory.
-
include/ikos/analyzer/analysis/context.hpp contains definition of the global context of the analyzer.
-
include/ikos/analyzer/analysis/literal.hpp contains definition of the literal factory. It converts an AR operand to an AR-independent format.
-
include/ikos/analyzer/analysis/liveness.hpp contains definition of the liveness analysis. It computes the set of live and dead variables for all functions.
-
include/ikos/analyzer/analysis/memory_location.hpp contains definition of symbolic memory locations (global, stack, heap-allocated, etc), and the memory location factory.
-
include/ikos/analyzer/analysis/option.hpp contains definition of analysis options.
-
include/ikos/analyzer/analysis/variable.hpp contains definition of variables (local, global, etc), and the variable factory.
-
include/ikos/analyzer/analysis/execution_engine/context_insensitive.hpp contains definition of
ContextInsensitiveCallExecutionEngine
, a call execution engine for context-insensitive analyses. -
include/ikos/analyzer/analysis/execution_engine/engine.hpp contains definition of base classes for execution engines. It defines an API to execute AR statements.
-
include/ikos/analyzer/analysis/execution_engine/inliner.hpp contains definition of
InlineCallExecutionEngine
, a call execution engine performing dynamic inlining. -
include/ikos/analyzer/analysis/execution_engine/numerical.hpp contains definition of
NumericalExecutionEngine
, the main execution engine of the analyzer. It executes AR statements on an abstract domain.
-
include/ikos/analyzer/analysis/pointer/constraint.hpp contains definition of
PointerConstraintsGenerator
, a generator of pointer constraints given an AR function or global variable. -
include/ikos/analyzer/analysis/pointer/function.hpp contains definition of a function pointer analysis.
-
include/ikos/analyzer/analysis/pointer/pointer.hpp contains definition of a pointer analysis.
-
include/ikos/analyzer/analysis/value/abstract_domain.hpp contains definition the abstract domain used during the value analysis.
-
include/ikos/analyzer/analysis/value/interprocedural.hpp contains definition the interprocedural value analysis.
-
include/ikos/analyzer/analysis/value/intraprocedural.hpp contains definition the intraprocedural value analysis.
-
include/ikos/analyzer/analysis/value/machine_int_domain.hpp contains definition the machine integer abstract domain used during the value analysis.
Contains definition of the different checks on the code (buffer overflow, division by zero, etc.), given the result of an analysis.
Contains definition of the different output database tables.
Contains definition of a JSON library.
Contains various helpers, e.g, assertions.
Contains definition of utilities for the analyzer, e.g, logging, colors, timers, etc.
-
python/ikos/analyzer.py contains implementation of the
ikos
command line tool. -
python/ikos/report.py contains implementation of the
ikos-report
command line tool. -
python/ikos/settings.py.in contains implementation of the
ikos-config
command line tool. -
python/ikos/view.py contains implementation of the
ikos-view
command line tool.
Contains the web resources for ikos-view. It includes HTML, CSS and JS code.
Contains python entry points for the command line tools.
Contains implementation files, following the structure of include/ikos/analyzer
.
- src/ikos_analyzer.cpp contains the implementation of
ikos-analyzer
. This is the entry point for all analyses.