Skip to content
cccskills
FreePublished on GitHub

extracting-iocs-from-analysis-output

Extracts indicators of compromise from raw analysis artifacts: parsing strings dumps, sandbox reports, PCAP summaries, and logs for URLs, domains, IPs, hashes, mutexes, and file paths, then deduplicating and typing them. Activates for requests to extract IOCs from analysis output, pull indicators from a report, or harvest atomic indicators.

The English summary is being prepared. Showing the original description.

See how to install

Files included (4)

  • SKILL.md2.8 KB
  • LICENSE340 B
  • references/api-reference.md1016 B
  • scripts/analyst.py2.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Extracting IOCs from Analysis Output

When to Use

  • You have raw analysis output (strings, sandbox JSON, PCAP notes, logs) and need the atomic indicators out of it.
  • You want a deduplicated, typed indicator set to feed enrichment, defanging, or detection.
  • You are building the indicator section of a report from analysis artifacts.

Do not use naive substring matching that produces noise — validate indicator shapes and filter obvious false positives (version strings that look like IPs, library domains).

Prerequisites

  • The analysis artifacts as text/JSON; the defanging skill for safe output.

Workflow

Step 1: Gather the artifacts

Collect strings output, sandbox report fields, network summaries, and relevant log excerpts into text the extractor can scan.

Step 2: Extract by pattern

Pull URLs, domains, IPv4 addresses, email addresses, and hashes (MD5/SHA-1/SHA-256) with validated patterns; also capture host artifacts (mutexes, registry keys, file paths) where the format allows.

python scripts/analyst.py extract analysis.txt

Step 3: Filter and deduplicate

Drop benign noise (Microsoft/CDN domains, localhost, RFC1918 where irrelevant) and deduplicate; keep a record of what was filtered and why.

Step 4: Type and hand off

Tag each indicator with its type and pass the set to enrichment/defanging for reporting.

Validation

  • Extracted indicators match valid shapes (no malformed IPs/hashes).
  • The set is deduplicated and obvious benign noise is filtered with a rationale.
  • Each indicator is typed and ready for enrichment/defanging.

Pitfalls

  • Capturing version numbers as IPs or library hostnames as C2.
  • Missing indicators split across lines or encoded (base64) in the artifacts.
  • Not recording what was filtered, losing analyst auditability.

References

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Reverses Android malware: unpacking APKs, decompiling DEX bytecode to readable Java, auditing the manifest for abused permissions and components, and locating dynamically loaded or native payloads. Activates for requests to analyze an APK, decompile DEX, or investigate a suspicious Android app.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes API call traces from a sandbox or API monitor (JSON) to group calls by category, reconstruct high-level behaviors (process injection, file drops, network, crypto), and flag suspicious call sequences. Activates for requests to analyze an API trace, interpret sandbox API logs, or identify behavior from Win32/Native API calls.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes Windows Authenticode signatures on PE files: checking for a signature, reading the signer certificate chain, detecting revoked/expired/stolen certs, and recognizing signature-stripping and catalog-signing abuse. Activates for requests to analyze a code signature, verify Authenticode, or assess signer trust on a PE.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes banking trojan webinject configurations to extract targeted institutions, injected JavaScript/HTML, and data-theft hooks, mapping the fraud workflow. Activates for requests to analyze banking trojan webinjects, parse a webinject config, or map targeted banks and credential-theft injections.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes Python-based malware packaged as PyInstaller/py2exe executables by detecting the packer, locating the embedded archive, and identifying bundled .pyc modules for extraction and decompilation. Activates for requests to analyze compiled Python malware, unpack a PyInstaller binary, or extract pyc modules from a frozen Python executable.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes cryptojacking/coinminer malware by extracting mining pool endpoints (stratum), wallet addresses, algorithm and miner identifiers (XMRig and forks), and persistence or resource-control settings from static strings and config. Activates for requests to analyze a cryptominer, extract mining pool and wallet IOCs, or identify coinminer configuration.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

See all skills by meltedinhex

Report a problem with this skill