Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, and tampered system structures.
60
51%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/analyzing-linux-kernel-rootkits/SKILL.mdSecurity
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.80). The skill allows supplying a Volatility ISF URL (args --isf-url used in scripts/agent.py run_vol3_plugin) and the included API reference explicitly points to downloading ISF symbol tables from public GitHub, which are third‑party, user‑contributed files that Volatility will ingest and that can materially alter analysis results.
The skill prompts the agent to compromise the security or integrity of the user’s machine by modifying system-level services or configurations, such as obtaining elevated privileges, altering startup scripts, or changing system-wide settings.
Attempt to modify system services in skill instructions detected (high risk: 1.00). The skill explicitly instructs actions that require and perform privileged, state-changing operations—e.g., acquiring memory by loading the LiME kernel module and running root-level scans (example shows sudo), which modify kernel/system state and require elevated privileges.
c15f73d
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