hunting-for-dcom-lateral-movement
hunting-for-dcom-lateral-movement is a Blue team & detection skill for AI agents, published by 26zl in the cybersec-toolkit repository on GitHub. Skillspace rates hunting-for-dcom-lateral-movement B (85/100) and it passed the safety scan; the rating is based on static analysis only.
Hunt for DCOM-based lateral movement by detecting abuse of MMC20.Application, ShellBrowserWindow, and ShellWindows COM objects through Sysmon Event ID 1 (process creation) and Event ID 3 (network connection) correlation, WMI event analysis, RPC endpoint mapper traffic on port 135, and DCOM-specific parent-child process relationships.
- Grade
- B
- Quality
- 85 / 100
- Safety
- Passed
- GitHub stars
- 28
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 92 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 18 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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