c2-evasion-methodology
c2-evasion-methodology is a Blue team & detection skill for AI agents, published by wgpsec in the AboutSecurity repository on GitHub. Skillspace rates c2-evasion-methodology D (68/100) and it passed the safety scan; the rating is based on static analysis only.
C2框架免杀方法论：分析 C2 源码、搜索检测规则(YARA/Sigma/Snort)、逐规则分析、修改源码绕过检测。当遇到 YARA/Sigma/Snort 规则触发告警、beacon/implant 被杀软检测到时使用。第一步：确认 implant/beacon 语言和架构；第二步：搜索对应检测规则并逐规则分析修改
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 1,734
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 88 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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