ioc-extractor

النجوم١٥

التفرعات٤

آخر تحديث٢٤ مارس ٢٠٢٦ في ١٦:٠٦

Extract and enrich Indicators of Compromise (IOCs) from any input — log files, alerts, emails, pastes, forensic tool output, threat intel reports, or raw text. Extracts IPs, domains, URLs, file hashes (MD5/SHA1/SHA256), email addresses, CVE IDs, Bitcoin/Ethereum addresses, MITRE ATT&CK technique IDs, and Windows-specific artifacts (registry paths, named pipes, service names). Enrichment via VirusTotal, AbuseIPDB, Shodan, OTX when API keys are available. Use this skill whenever the user mentions IOCs, indicators, observables, enrichment, reputation checks, or asks to 'extract indicators from', 'check this hash', 'enrich these IPs', 'defang/refang', or 'what IOCs are in this file'. Also triggers for triage workflows needing IOC context.

التثبيت

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

المصدر

samaritan0

samaritan0/dfir-agentic-suite

فتح مستودع GitHub عرض مستودعات المنشئ

تنزيل

المهن ذات الصلةSOC

استنادا إلى تصنيف SOC المهني

محللو أمن المعلوماتمهن الحاسوب والرياضيات·SOC 15-1212

مستكشف الملفات

2 ملفات

SKILL.md

readonly

name

ioc-extractor

description

IOC Extractor & Enrichment

What this skill does

Takes any text input (log file, alert JSON, email, paste, forensic report) and:

Extracts all IOCs using battle-tested regex patterns
Deduplicates and classifies by type
Defangs output for safe sharing (configurable)
Enriches against threat intel APIs when keys are available
Outputs structured results (JSON, CSV, Markdown table, or STIX 2.1 bundle)

Quick start

Run the extraction script on any input file:

python3 /path/to/skills/ioc-extractor/scripts/extract_iocs.py <input_file> [--enrich] [--format json|csv|markdown|stix] [--defang] [--output <output_file>]

Or pipe text directly:

cat suspicious_email.txt | python3 /path/to/skills/ioc-extractor/scripts/extract_iocs.py --stdin --enrich

Extraction patterns

The script extracts the following indicator types with these regex patterns. When working without the script (e.g., analyzing text in context), apply these same patterns mentally:

Type	Pattern	Examples
IPv4	Standard dotted quad, excludes private/loopback by default	203.0.113.50
IPv6	Full and compressed notation	2001:db8::1
Domain	FQDN with valid TLD, min 2 labels	evil.example[.]com
URL	http/https/ftp with path, query, fragment	hxxps://evil[.]com/payload
MD5	32 hex chars (case-insensitive)	d41d8cd98f00b204e9800998ecf8427e
SHA1	40 hex chars	da39a3ee5e6b4b0d3255bfef95601890afd80709
SHA256	64 hex chars	e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
Email	Standard RFC 5322 pattern	attacker@evil.com
CVE	CVE-YYYY-NNNNN+	CVE-2024-12345
ATT&CK	T####(.###)? pattern	T1059.001
Registry	HKLM/HKCU/HKU/HKCR paths	HKLM\Software\Microsoft\Windows\CurrentVersion\Run
Named pipe	\.\pipe\ paths	\.\pipe\evil_pipe
Bitcoin	1/3/bc1 addresses	1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa
Ethereum	0x + 40 hex chars	0x742d35Cc6634C0532925a3b844Bc9e7595f2bD
JARM	62 hex chars	07d14d16d21d21d07c42d41d00041d...

Handling defanged input

The extractor automatically refangs common defanging patterns before extraction:

hxxp → http, hxxps → https
[.] → ., [:] → :
[at] / [@] → @
[/] → /
Dot-separated octets: 192[.]168[.]1[.]1

Enrichment

When --enrich is passed, the script checks for API keys as environment variables and enriches IOCs against available services:

Service	Env Variable	IOC Types	Data Returned
VirusTotal	`VT_API_KEY`	hashes, domains, IPs, URLs	detection ratio, first/last seen, tags
AbuseIPDB	`ABUSEIPDB_API_KEY`	IPs	confidence score, abuse reports, ISP/country
Shodan	`SHODAN_API_KEY`	IPs	open ports, services, vulns, geo
OTX (AlienVault)	`OTX_API_KEY`	all types	pulse count, tags, related indicators
GreyNoise	`GREYNOISE_API_KEY`	IPs	classification (benign/malicious/unknown), noise status

Rate limiting is enforced: VT free tier = 4 req/min, AbuseIPDB = 1000/day. The script uses exponential backoff and caches results to .ioc_cache.json to avoid repeated lookups within the same investigation.

Output formats

JSON (default): Structured array with IOC type, value, defanged form, and enrichment data.

CSV: Flat table suitable for SIEM import or spreadsheet analysis.

Markdown: Human-readable table for reports and Confluence/wiki paste.

STIX 2.1: Bundle with proper SDO types (indicator, malware, infrastructure) and SROs for relationships. Suitable for MISP/OpenCTI import.

Integration with other DFIR skills

The IOC extractor's JSON output is designed to chain with:

windows-artifact-triage: Extract IOCs from EZTools CSV, correlate hashes against VT
log-timeline-correlator: Enrich IPs/domains found in timeline events
yara-rule-generator: Feed extracted hashes/strings as seed indicators for rule creation

When NOT to use this skill

If the user just wants to know what a single hash is → use web search against VT directly
If the user needs full malware analysis → this extracts IOCs from reports, it doesn't analyze binaries
If the user wants to write detection rules from IOCs → chain this skill's output into yara-rule-generator

Script dependencies

pip install requests tldextract stix2 --break-system-packages

The script handles missing optional dependencies gracefully — enrichment is skipped if requests is unavailable, STIX output falls back to JSON if stix2 is missing.

المزيد من هذا المستودع

نفس المستودع

dfir-orchestrator

samaritan0/dfir-agentic-suite

Agentic DFIR orchestrator that autonomously investigates security incidents by chaining forensic skills (IOC extraction, Windows artifact triage, timeline correlation, YARA generation) with an autonomous reasoning loop, persistent case state, and human-in-the-loop approvals. Use this skill whenever the user mentions 'investigate', 'triage this incident', 'analyze this case', 'run a full investigation', 'what happened on this system', or asks for autonomous forensic analysis. Also triggers when multiple DFIR skills need to be chained together, when the user provides KAPE output or log files and wants comprehensive analysis, or when an alert needs end-to-end triage. This is the master orchestrator — it decides which sub-skills to invoke and in what order.

2026-03-2415

log-timeline-correlator

samaritan0/dfir-agentic-suite

Parse, normalize, and correlate forensic timelines from Plaso/log2timeline (l2tcsv, json_line), Hayabusa (CSV/JSONL), Chainsaw (JSON), and raw log files (syslog, auth.log, JSON-formatted logs, Windows XML event logs). Produces unified UTC timelines, detects attack sequences, and maps findings to MITRE ATT&CK. Use this skill whenever the user mentions timeline, plaso, log2timeline, supertimeline, l2tcsv, timeline correlation, log parsing, attack sequence, 'merge these logs', 'correlate events across sources', 'build a timeline', 'what happened between', or 'reconstruct the attack'. Also triggers for temporal analysis, time-window queries, and gap detection in forensic timelines.

2026-03-2415

windows-artifact-triage

samaritan0/dfir-agentic-suite

Parse and correlate Windows forensic artifacts from EZTools (Eric Zimmerman), KAPE, Chainsaw, Hayabusa, and raw event logs. Handles CSV output from EvtxECmd, MFTECmd, PECmd (Prefetch), AmcacheParser, AppCompatCacheParser, SBECmd (ShellBags), LECmd (LNK files), JLECmd (Jump Lists), and RECmd (Registry). Also parses Chainsaw JSON and Hayabusa CSV/JSONL timelines. Use this skill whenever the user mentions Windows forensics, EZTools, KAPE output, event logs, prefetch, amcache, shimcache, MFT, USN journal, registry forensics, shellbags, Chainsaw, Hayabusa, or asks to 'parse these artifacts', 'triage this Windows system', 'correlate these events', 'what executed on this system', 'find persistence', or 'build a timeline from KAPE'. Also triggers for lateral movement analysis, evidence of execution, and timestomping detection.

2026-03-2415

yara-rule-generator

samaritan0/dfir-agentic-suite

Generate YARA rules from behavioral descriptions, malware samples, forensic findings, or threat intelligence reports. Produces well-structured YARA rules with metadata, string patterns, and conditions. Supports PE-specific features (imports, exports, sections, imphash), magic byte detection, and condition logic. Can also analyze existing YARA rules for quality, convert between YARA and Sigma where applicable, and generate rules from IOC lists. Use this skill whenever the user mentions YARA, detection rules, 'write a rule for', 'detect this malware', 'create a signature', 'generate YARA from', 'improve this YARA rule', or any request involving malware detection signatures. Also triggers when analyzing pefile output, strings output, or malware behavior reports that could be converted to detection rules.

2026-03-2415

name

ioc-extractor

description

IOC Extractor & Enrichment

What this skill does

Takes any text input (log file, alert JSON, email, paste, forensic report) and:

Extracts all IOCs using battle-tested regex patterns
Deduplicates and classifies by type
Defangs output for safe sharing (configurable)
Enriches against threat intel APIs when keys are available
Outputs structured results (JSON, CSV, Markdown table, or STIX 2.1 bundle)

Quick start

Run the extraction script on any input file:

python3 /path/to/skills/ioc-extractor/scripts/extract_iocs.py <input_file> [--enrich] [--format json|csv|markdown|stix] [--defang] [--output <output_file>]

Or pipe text directly:

cat suspicious_email.txt | python3 /path/to/skills/ioc-extractor/scripts/extract_iocs.py --stdin --enrich

Extraction patterns

The script extracts the following indicator types with these regex patterns. When working without the script (e.g., analyzing text in context), apply these same patterns mentally:

Type	Pattern	Examples
IPv4	Standard dotted quad, excludes private/loopback by default	203.0.113.50
IPv6	Full and compressed notation	2001:db8::1
Domain	FQDN with valid TLD, min 2 labels	evil.example[.]com
URL	http/https/ftp with path, query, fragment	hxxps://evil[.]com/payload
MD5	32 hex chars (case-insensitive)	d41d8cd98f00b204e9800998ecf8427e
SHA1	40 hex chars	da39a3ee5e6b4b0d3255bfef95601890afd80709
SHA256	64 hex chars	e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
Email	Standard RFC 5322 pattern	attacker@evil.com
CVE	CVE-YYYY-NNNNN+	CVE-2024-12345
ATT&CK	T####(.###)? pattern	T1059.001
Registry	HKLM/HKCU/HKU/HKCR paths	HKLM\Software\Microsoft\Windows\CurrentVersion\Run
Named pipe	\.\pipe\ paths	\.\pipe\evil_pipe
Bitcoin	1/3/bc1 addresses	1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa
Ethereum	0x + 40 hex chars	0x742d35Cc6634C0532925a3b844Bc9e7595f2bD
JARM	62 hex chars	07d14d16d21d21d07c42d41d00041d...

Handling defanged input

The extractor automatically refangs common defanging patterns before extraction:

hxxp → http, hxxps → https
[.] → ., [:] → :
[at] / [@] → @
[/] → /
Dot-separated octets: 192[.]168[.]1[.]1

Enrichment

When --enrich is passed, the script checks for API keys as environment variables and enriches IOCs against available services:

Service	Env Variable	IOC Types	Data Returned
VirusTotal	`VT_API_KEY`	hashes, domains, IPs, URLs	detection ratio, first/last seen, tags
AbuseIPDB	`ABUSEIPDB_API_KEY`	IPs	confidence score, abuse reports, ISP/country
Shodan	`SHODAN_API_KEY`	IPs	open ports, services, vulns, geo
OTX (AlienVault)	`OTX_API_KEY`	all types	pulse count, tags, related indicators
GreyNoise	`GREYNOISE_API_KEY`	IPs	classification (benign/malicious/unknown), noise status

Output formats

JSON (default): Structured array with IOC type, value, defanged form, and enrichment data.

CSV: Flat table suitable for SIEM import or spreadsheet analysis.

Markdown: Human-readable table for reports and Confluence/wiki paste.

STIX 2.1: Bundle with proper SDO types (indicator, malware, infrastructure) and SROs for relationships. Suitable for MISP/OpenCTI import.

Integration with other DFIR skills

The IOC extractor's JSON output is designed to chain with:

windows-artifact-triage: Extract IOCs from EZTools CSV, correlate hashes against VT
log-timeline-correlator: Enrich IPs/domains found in timeline events
yara-rule-generator: Feed extracted hashes/strings as seed indicators for rule creation

When NOT to use this skill

If the user just wants to know what a single hash is → use web search against VT directly
If the user needs full malware analysis → this extracts IOCs from reports, it doesn't analyze binaries
If the user wants to write detection rules from IOCs → chain this skill's output into yara-rule-generator

Script dependencies

pip install requests tldextract stix2 --break-system-packages

The script handles missing optional dependencies gracefully — enrichment is skipped if requests is unavailable, STIX output falls back to JSON if stix2 is missing.