extracting-iocs-from-malware-samples SKILL.md skillA
extracting-iocs-from-malware-samples from adriannoes/awesome-agentic-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add adriannoes/awesome-agentic-ai/extracting-iocs-from-malware-samples@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- adriannoes/awesome-agentic-ai
- Path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/extracting-iocs-from-malware-samples/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Jun 25, 2026
- First version recorded
- Jun 11, 2026
- Size
- 14,225 bytes
- Repository stars
- 69
- License
- MIT
'Extracts indicators of compromise (IOCs) from malware samples including.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Extracting IOCs from Malware Samples ## When to Use - A malware analysis (static or dynamic) is complete and actionable indicators need to be extracted for defense teams - Building blocklists for firewalls, proxies, and DNS sinkholes from analyzed samples - Creating YARA rules, Snort/Suricata signatures, or SIEM detection content from malware artifacts - Contributing to threat intelligence sharing platforms (MISP, OTX, ThreatConnect) - Tracking malware campaigns by correlating IOCs across multiple samples **Do not use** for IOCs from unverified sources without validation; false positives in blocklists can disrupt legitimate business operations. ## Prerequisites - Python 3.8+ with `iocextract`, `pefile`, `yara-python` libraries installed - Completed malware analysis report (static analysis, dynamic analysis, or reverse engineering) - Access to PCAP files, memory dumps, or sandbox reports from the analysis - MISP instance or STIX/TAXII server for structured IOC sharing - VirusTotal API key for IOC enrichment and validation - CyberChef for decoding obfuscated indicators ## Workflow ### Step 1: Extract File-Based IOCs Compute hashes and identify file metadata indicators: …
Read the whole file at its exact version.
How to install
mdr add adriannoes/awesome-agentic-ai/extracting-iocs-from-malware-samples@sha256:41eec5442e403f5fThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ta6jp3fvdiejhm6g)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 11, 2026 and Jun 25, 2026, about one every 14 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-06-25 | f69bd81 | 14,225 B | A | view · diff |
| v1.0.0 | 2026-06-11 | ff4cc7c | 14,175 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14225 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ta6jp3fvdiejhm6g GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/extracting-iocs-from-malware-samples GET https://markdownregistry.com/api/v1/blob/41eec5442e403f5f249a5d5bdd93f40b8ced5f06b54df9508a92fbd312f14fc5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.