Individual skill
detecting-fileless-malware-techniques
Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. Activates for requests involving fileless threat detection, in-memory malware investigation, LOLBin abuse analysis, or WMI persistence examination.
internal/tools/skills/data/malware-analysis/detecting-fileless-malware-techniques/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,313
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- malware Declared skill tag
- fileless Declared skill tag
- lolbins Declared skill tag
- memory-analysis Declared skill tag
- detection Declared skill tag
- writing Derived category
- security Derived category
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# Detecting Fileless Malware Techniques
## When to Use
- EDR alerts indicate suspicious behavior from trusted system binaries (PowerShell, mshta, wmic, regsvr32)
- Investigating attacks that leave no traditional malware files on disk
- Analyzing WMI event subscriptions, registry-stored payloads, or scheduled task abuse for persistence
- Building detection rules for LOLBin (Living Off the Land Binary) abuse in enterprise environments
- Memory forensics reveals malicious code but no corresponding files exist on the filesystem
**Do not use** for traditional file-based malware; standard static and dynamic analysis methods are more appropriate for disk-resident malware.
## Detection Gaps & Validation
