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Expected behavior and description of the error, including any actions taken immediately prior to the error. The more detail the better.
Expected behaviour: invoke_internal_monologue module dumps the same NetNTLMv1 hashes every time, once for each run of the module.
Observed behaviour: invoke_internal_monologue module dumps NetNTLMv1 hashes only ONCE on the first run of the module for that agent, and never again after that (for that agent only). The agent stays alive, and commands can be run on the agent after, but invoke_internal_monologue will return no v1's again.
Screenshot of error, embedded text output, or Pastebin link to the error
Any additional information
Running agent on Windows 10 (1809), PSVersion 5.1
The text was updated successfully, but these errors were encountered:
@Invoke-Mimikatz I added a check to clear the table if the module has been run before. It is not the most graceful fix, but it fixes the issue. Could you test out the PR and see if it fixed the issue for your setup?
* added ms16-051 rce stager
* reformatted file
* Update empire/server/stagers/windows/ms16-051.py
Co-authored-by: Vincent Rose <vrose04@gmail.com>
* fixed error with quotes
Co-authored-by: Vincent Rose <vrose04@gmail.com>
Empire Version
3.0 Bug Fixes
OS Information (Linux flavor, Python version)
Kali 2019.2, Python 3.7.5
Expected behavior and description of the error, including any actions taken immediately prior to the error. The more detail the better.
Expected behaviour: invoke_internal_monologue module dumps the same NetNTLMv1 hashes every time, once for each run of the module.
Observed behaviour: invoke_internal_monologue module dumps NetNTLMv1 hashes only ONCE on the first run of the module for that agent, and never again after that (for that agent only). The agent stays alive, and commands can be run on the agent after, but invoke_internal_monologue will return no v1's again.
Screenshot of error, embedded text output, or Pastebin link to the error
Any additional information
Running agent on Windows 10 (1809), PSVersion 5.1
The text was updated successfully, but these errors were encountered: