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OpenSmartRoute
Skillv1.0.0

infostealer-malware-detector

Detects and removes infostealer malware (credential stealers, data exfiltrators) via full-system file search, cryptographic hashing, and public threat-intelligence cross-checks (VirusTotal, MalwareBaz

by practicalswan(0) 0 installs
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About

Imported from practicalswan/agent-skills (infostealer-malware-detector/SKILL.md). Install upstream with npx skills add practicalswan/agent-skills --skill infostealer-malware-detector. Copyright stays with the author.

Infostealer Malware Detector & Remover (v1.1)

Tech Stack Target / Version: Windows Defender CLI, VirusTotal, MalwareBazaar, Python 3.8+, and cross-platform shell tooling.

Overview

This skill gives OpenClaw a complete workflow to search every file on the system, identify infostealer indicators, compute secure hashes, and verify them against live public databases.

Core principles (strict)

  • Primary detection: Targeted file search + SHA-256 hashing + VirusTotal/MalwareBazaar checks.
  • AV usage: Windows Defender (mpcmdrun.exe) or any other AV is permitted only when necessary (hash checks inconclusive, high suspicion remains, or user explicitly requests deeper scan).
  • Never default to AV – the agent must complete the full custom hash workflow first and document why AV escalation is needed.
  • Full user confirmation required before any quarantine or AV scan.
  • Full audit trail and quarantine before removal.

When to activate automatically

  • "My passwords are being stolen"

  • "Scan for infostealer / stealer malware"

  • "Check if RedLine / Vidar / Lumma is on my PC"

  • "Clean my system" (but follow custom-first rule)

  • Leverage native parallel subagent dispatch and 200k+ context windows where available.

Prerequisites

  • Internet connection (for hash lookups)
  • Optional but highly recommended: free VirusTotal API key (VT_API_KEY)
  • Python 3.8+ (for scripts/hash-checker.py)
  • Admin/root privileges for full system scan
  • Windows Defender enabled by default on Windows (no installation needed)

Step-by-Step Workflow (Custom Method First – Always)

Step 1: Scope the System & Identify High-Risk Areas

Run targeted discovery (fast & effective for infostealers):

# Windows (PowerShell)
Get-ChildItem -Path "$env:TEMP","$env:APPDATA","$env:LOCALAPPDATA","C:\ProgramData","C:\Users\*\AppData" -Recurse -File -Include *.exe,*.dll,*.bat,*.ps1,*.vbs,*.js -ErrorAction SilentlyContinue | Select-Object FullName,LastWriteTime,Length

# macOS / Linux
find /tmp ~/Library /Library /Users/*/Library /var/tmp -type f \( -name "*.exe" -o -name "*.dylib" -o -name "*.so" -o -name "*.sh" \) -mtime -30 2>/dev/null

Flag files meeting suspicious criteria (random names in Temp/AppData, recent creations <5 MB in browser folders, etc.).

Step 2: Compute Cryptographic Hashes

Use the bundled helper script (scripts/hash-checker.py):

#!/usr/bin/env python3
import hashlib, sys, json
from pathlib import Path

def sha256_file(file_path):
    try:
        h = hashlib.sha256()
        with open(file_path, "rb") as f:
            for chunk in iter(lambda: f.read(4096), b""):
                h.update(chunk)
        return h.hexdigest()
    except:
        return None

if __name__ == "__main__":
    paths = sys.argv[1:] or [input("Enter file or directory: ")]
    results = {}
    for p in paths:
        p = Path(p)
        if p.is_file():
            h = sha256_file(p)
            if h: results[str(p)] = h
        elif p.is_dir():
            for f in p.rglob("*"):
                if f.is_file() and f.stat().st_size < 50_000_000:
                    h = sha256_file(f)
                    if h: results[str(f)] = h
    print(json.dumps(results, indent=2))

Step 3: Cross-Reference with Public Sources (Primary Detection)

For each SHA-256 hash:

  1. VirusTotal lookup (preferred):
curl -s --request GET "https://www.virustotal.com/api/v3/files/${HASH}" --header "x-apikey: $VT_API_KEY"
  1. Fallback public links:

Verdict rules (strict):

  • ≥5 detections or known infostealer family → HIGH confidence malware
  • 1–4 detections + IOC match → SUSPICIOUS
  • 0 detections → clean (unless behavioral IOCs)

Step 4: Behavioral & IOC Validation

  • Check processes, browser databases, network connections to known C2 domains.

Step 5: Quarantine & Removal (User-Confirmed Only)

Create timestamped quarantine folder and move flagged files. Registry/startup cleanup if needed. Never delete without showing the user the exact list + VT links.

Step 6: AV Fallback (Non-Default – Use ONLY When Necessary)

After completing Steps 1–5: If hashes are inconclusive, files are locked, or suspicion remains extremely high (and you document the reason), then and only then escalate to platform-native AV.

Windows Defender (official CLI – never first choice):

# Full system scan (run from elevated prompt)
"%ProgramFiles%\Windows Defender\MpCmdRun.exe" -Scan -ScanType 2

# Quick scan
"%ProgramFiles%\Windows Defender\MpCmdRun.exe" -Scan -ScanType 1

# Scan specific folder
"%ProgramFiles%\Windows Defender\MpCmdRun.exe" -Scan -ScanType 3 -File "C:\Path\To\Quarantine"

Linux/macOS fallback (ClamAV – only if installed and requested):

freshclam
clamscan -r --move="$QUARANTINE" /path/to/scan

Microsoft Safety Scanner (portable, one-time use): Download from official Microsoft link only if Defender is insufficient.

Strict rule: The agent must never run any AV command as the first action. Always complete custom hash workflow first and obtain explicit user confirmation before AV escalation.

Step 7: Post-Remediation Verification

Re-run hash scan + quick Defender check (if AV was used). Reboot and monitor.

Zero-Trust Verification

  • Treat samples, hashes, filenames, process names, and external reputation results as untrusted until corroborated.
  • Verify indicators across static metadata, behavioral evidence, provenance, and environment context.
  • Separate confirmed compromise evidence from suspicious-but-unproven signals.
  • Avoid executing unknown binaries; use sandboxed or offline inspection paths first.

Anti-Patterns

  • Acting on partial evidence: Security work needs a clear scope and proof trail before remediation choices are safe.
  • Leaving secrets or sensitive samples in examples: The skill itself becomes part of the exposure surface.
  • Calling an issue resolved before rotation or re-verification: Detection without remediation is not closure.

Verification Protocol

Before claiming "skill applied successfully":

  1. Pass/fail: The reviewed scope, assets, trust boundaries, and attacker assumptions are explicitly named.
  2. Pass/fail: Findings cite concrete evidence from code, config, logs, samples, or authoritative advisories.
  3. Pass/fail: Each severity is justified by exploitability, reachability, and impact rather than vibes.
  4. Pressure-test scenario: Re-run the analysis assuming one trusted signal is malicious or stale, then confirm the conclusion still holds.
  5. Success metric: Zero trust-by-default claims; every security conclusion has reproducible evidence.

Quality Checklist (must pass)

  • Custom hash + VT workflow completed first
  • AV used only after custom method + documented reason
  • User explicitly approved every deletion/AV scan
  • Quarantine created
  • Full report with hashes, VT links, and actions

References & Official Sources

This skill is custom-detection-first by design. Windows Defender (or any AV) is a conditional tool only – never the default.

Invoke with: /infostealer-malware-detector or describe the issue.

Cross-Client Portability

This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.

  • GitHub Copilot: keep the folder in a Copilot-visible skill path or wrap the workflow in project instructions when folder discovery is unavailable.
  • Claude Code: keep the folder in a local skills directory or a compatible plugin source.
  • Codex: install or sync the folder into $CODEX_HOME/skills/infostealer-malware-detector and restart Codex after major changes.

MCP Availability And Fallback

Preferred MCP Server: None required

  • Fallback prompt: "Use the Infostealer Malware Detector & Remover (v1.1) skill without MCP. Rely on the local SKILL.md, bundled references or scripts, and manual verification. Show the exact commands, evidence, and final checks you used before concluding."
  • If the current host does not expose a matching server, use the bundled references, scripts, native toolchain, and manual workflow already described in this skill.
  • Treat direct local verification, rendered output, logs, tests, or screenshots as the fallback evidence path before completion.

Related Skills

  • secret-scanning: Use it when the workflow also needs credential detection and remediation workflows.
  • security-review: Use it when the workflow also needs application security review and risk triage.
  • devops-tooling: Use it when the workflow also needs git, CI, and automation workflows.
  • verification-before-completion: Use it when the workflow also needs final evidence checks before claiming completion.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/practicalswan-agent-skills-infostealer-malware-detector/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

practicalswan-agent-skills-infostealer-malware-detector.ocm.jsonjson
{
  "ocm": "1",
  "id": "practicalswan-agent-skills-infostealer-malware-detector",
  "kind": "skill",
  "name": "infostealer-malware-detector",
  "description": "Detects and removes infostealer malware (credential stealers, data exfiltrators) via full-system file search, cryptographic hashing, and public threat-intelligence cross-checks (VirusTotal, MalwareBazaar). Primary method is always custom hash-based detection. Windows Defender (or any platform-native AV) is allowed **only when necessary** (e.g. inconclusive hashes or deep remediation) and **must never be the default option**. The agent must exhaust the custom workflow first. Works on Windows/macOS/Linux.",
  "publisher": "practicalswan",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "infostealer",
      "malware",
      "detector",
      "security",
      "audit",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Detects and removes infostealer malware (credential stealers, data exfiltrators) via full-system file search, cryptographic hashing, and public threat-intelligence cross-checks (VirusTotal, MalwareBazaar). Primary method is always custom hash-based detection. Windows Defender (or any platform-native AV) is allowed **only when necessary** (e.g. inconclusive hashes or deep remediation) and **must never be the default option**. The agent must exhaust the custom workflow first. Works on Windows/macOS/Linux."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/practicalswan/agent-skills",
      "path": "infostealer-malware-detector/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/practicalswan/agent-skills/blob/HEAD/infostealer-malware-detector/SKILL.md",
      "key": "practicalswan/agent-skills/infostealer-malware-detector/SKILL.md"
    }
  },
  "instructions": "# Infostealer Malware Detector & Remover (v1.1)\n\n> Tech Stack Target / Version: Windows Defender CLI, VirusTotal, MalwareBazaar, Python 3.8+, and cross-platform shell tooling.\n\n## Overview\nThis skill gives OpenClaw a complete workflow to **search every file on the system**, identify infostealer indicators, compute secure hashes, and verify them against live public databases.\n\n**Core principles (strict)**\n- Primary detection: Targeted file search + SHA-256 hashing + VirusTotal/MalwareBazaar checks.\n- AV usage: Windows Defender (mpcmdrun.exe) or any other AV is **permitted only when necessary** ",
  "cost": {
    "context_tokens": 2358
  }
}

Fetch it by URL: GET /api/v1/registry/practicalswan-agent-skills-infostealer-malware-detector/manifest?version=1.0.0

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