collecting-indicators-of-compromise

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• SKILL.md
• api-reference.md · references/
• agent.py · scripts/

SKILL.md (first lines)

# Collecting Indicators of Compromise

## When to Use

- During active incident response to identify and block adversary infrastructure
- Post-incident to document all observed adversary artifacts for future detection
- When sharing threat intelligence with ISACs, sector partners, or law enforcement
- When building detection rules in SIEM, EDR, or network security tools
- When enriching IOCs with threat intelligence context for risk scoring

**Do not use** for behavioral TTP analysis without accompanying technical indicators; use MITRE ATT&CK mapping for behavioral characterization.

## Prerequisites

- Access to incident evidence sources: SIEM logs, EDR telemetry, memory dumps, disk images, network captures
- Threat intelligence platform (MISP, OpenCTI, ThreatConnect) for IOC management and sharing
- IOC enrichment tools: VirusTotal, OTX (AlienVault Open Threat Exchange), Shodan, DomainTools
- STIX 2.1 knowledge for structured IOC representation
- Sharing agreements with relevant ISACs (FS-ISAC, H-ISAC, IT-ISAC) or sector partners

## Workflow

### Step 1: Identify IOC Categories

Collect indicators across all categories from incident evidence:

**Network Indicators:**
- IP addresses (C2 servers, staging servers, exfiltration destinations)
- Domain names (C2 domains, phishing domains, DGA domains)
- URLs (malware download, C2 check-in, exfiltration endpoints)
- JA3/JA3S hashes (TLS client/server fingerprints)
- User-Agent strings (custom or unusual HTTP headers)
- DNS query patterns (tunneling signatures, DGA patterns)

**Host Indicators:**
- File hashes (MD5, SHA-1, SHA-256 of malware, tools, scripts)
- File paths (known malware installation directories)
- Registry keys (persistence mechanisms, configuration storage)
- Scheduled tasks and service names (persistence)
- Mutex/event names (malware instance synchronization)
- Named pipes (C2 communication channels, e.g., Cobalt Strike)

**Email Indicators:**
- Sender addresses and domains (spoofed or attacker-controlled)
- Subject lines and body content patterns
- Attachment names and hashes
- Embedded URLs
- Email header anomalies (SPF/DKIM/DMARC failures)

### Step 2: Extract IOCs from Evidence Sources

Systematically extract indicators from each evidence source:

**From SIEM/Log Analysis:**
```
# Extract unique destination IPs from firewall logs
index=firewall action=blocked
| stats count by dest_ip
| where count > 100

# Extract domains from DNS query logs
index=dns query=*evil* OR query=*c2*
| stats count by query
```

**From Memory Forensics:**
```bash
# Extract network connections
vol -f memory.raw windows.netscan | grep ESTABLISHED

# Extract strings from suspicious process memory
vol -f memory.raw windows.memmap --pid 3847 --dump
strings -n 8 pid.3847.dmp | grep -E "(http|https)://"
```

**From Malware Analysis:**
```
Sandbox Report IOC Extraction:
- Dropped files:      3 (hashes extracted)
- DNS queries:        update.evil[.]com, cdn.malware[.]net
- HTTP connections:   POST to https://185.220.101[.]42/gate.php
- Registry modified:  HKCU\Software\Microsoft\Windows\CurrentVersion\Run\svcupdate
- Mutex created:      Global\MTX_0x1234ABCD
- Named pipe:         \\.\pipe\MSSE-1234-server
```

### Step 3: Enrich IOCs with Context

Add threat intelligence context to each indicator:

```
IOC Enrichment Report:
━━━━━━━━━━━━━━━━━━━━━
IP: 185.220.101.42
  VirusTotal:     12/89 vendors flag as malicious
  Shodan:         Open ports: 443, 8443, 80
  Geolocation:    Netherlands, AS208476
  First Seen:     2025-10-01
  Threat Intel:   Associated with Qakbot C2 infrastructure
  Confidence:     High
  TLP:            AMBER

Domain: update.evil[.]com
  Registration:   2025-10-28 (recently registered)
  Registrar:      Namecheap
  WHOIS Privacy:  Yes
  VirusTotal:     8/89 vendors flag as malicious
  DNS History:    Resolved to 185.220.101.42, 91.215.85.17
  Confidence:     High
  TLP:            AMBER
```

### Step 4: Score and Prioritize IOCs

Assign confidence and risk scores to each indicator:

| Score | Confidence Level | Criteria |
|-------|-----------------|----------|
| 90-100 | Confirmed Malicious | Multiple TI sources confirm, observed in active attack |

From adriannoes/awesome-agentic-ai, Apache-2.0.

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