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skills/mukul975/Anthropic-Cybersecurity-Skills/collecting-indicators-of-compromise

collecting-indicators-of-compromise

1
mukul975/Anthropic-Cybersecurity-Skills·Security·Audit pending·Snapshot 1bda050d0a38

Summary

This source did not publish a separate summary. Review SKILL.md before using the skill.

SKILL.md

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:

    # 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:

    ScoreConfidence LevelCriteria
    90-100Confirmed MaliciousMultiple TI sources confirm, observed in active attack
    70-89Highly SuspiciousSingle TI source confirms, behavioral analysis supports
    50-69SuspiciousLimited TI data, contextually suspicious
    30-49UnconfirmedNo TI matches, but anomalous in environment
    0-29Likely BenignFalse positive indicators or legitimate infrastructure

    Step 5: Distribute IOCs for Detection and Blocking

    Push IOCs to defensive systems for immediate protection:

    • Firewall/IPS: Block C2 IPs and domains
    • DNS: Sinkhole malicious domains
    • EDR: Add file hashes to blocklist, create custom IOC watchlists
    • Email Gateway: Block sender domains, attachment hashes, malicious URLs
    • SIEM: Create correlation searches for IOC matches
    • Web Proxy: Block URLs and domains in web filtering policy

    Step 6: Share IOCs with Partners

    Package IOCs in STIX 2.1 format for sharing:

    {
      "type": "indicator",
      "spec_version": "2.1",
      "id": "indicator--a1b2c3d4-e5f6-7890-abcd-ef1234567890",
      "created": "2025-11-15T18:00:00Z",
      "modified": "2025-11-15T18:00:00Z",
      "name": "Qakbot C2 Server IP",
      "indicator_types": ["malicious-activity"],
      "pattern": "[ipv4-addr:value = '185.220.101.42']",
      "pattern_type": "stix",
      "valid_from": "2025-11-15T14:23:00Z",
      "confidence": 95,
      "labels": ["c2", "qakbot"],
      "object_marking_refs": ["marking-definition--f88d31f6-486f-44da-b317-01333bde0b82"]
    }
    

    Submit to MISP, ISAC portals, and TAXII servers per sharing agreements.

    Key Concepts

    TermDefinition
    IOC (Indicator of Compromise)Technical artifact observed during a security incident that indicates adversary presence (hash, IP, domain, etc.)
    TLP (Traffic Light Protocol)Standard for classifying the sharing restrictions of threat intelligence: WHITE, GREEN, AMBER, AMBER+STRICT, RED
    STIX (Structured Threat Information Expression)Standard language for representing cyber threat intelligence in a structured, machine-readable format
    TAXII (Trusted Automated Exchange of Intelligence Information)Transport protocol for sharing STIX-formatted threat intelligence between organizations
    Confidence ScoreNumerical rating (0-100) indicating the analyst's certainty that an indicator is truly malicious
    IOC LifecycleProcess of creating, validating, distributing, and eventually retiring indicators as they lose relevance
    DefangingPractice of modifying malicious URLs and domains in reports to prevent accidental clicks (e.g., evil[.]com)

    Tools & Systems

    • MISP: Open-source threat intelligence sharing platform for managing, storing, and distributing IOCs
    • VirusTotal: Multi-engine malware scanning and threat intelligence platform for IOC enrichment
    • OpenCTI: Open-source cyber threat intelligence platform supporting STIX 2.1 natively
    • Yeti: Open-source platform for organizing observables, indicators, and TTPs
    • CyberChef: GCHQ's data transformation tool useful for decoding, defanging, and formatting IOCs

    Common Scenarios

    Scenario: Post-Incident IOC Package for ISAC Sharing

    Context: After responding to a Qakbot infection that led to Cobalt Strike deployment, the IR team must package all IOCs for sharing with the Financial Services ISAC (FS-ISAC).

    Approach:

    1. Compile all network, host, and email indicators from the investigation
    2. Enrich each IOC with VirusTotal and MISP correlation data
    3. Assign confidence scores based on direct observation vs. secondary correlation
    4. Mark all IOCs with TLP:AMBER for partner sharing
    5. Export as STIX 2.1 bundle and submit to FS-ISAC TAXII feed
    6. Create a human-readable IOC summary report for email distribution

    Pitfalls:

    • Including internal IP addresses or hostnames in shared IOC packages (information leakage)
    • Sharing IOCs at TLP:WHITE that should be restricted to TLP:AMBER
    • Not defanging URLs and domains in human-readable reports
    • Sharing IP addresses of legitimate CDNs or cloud providers as malicious IOCs

    Output Format

    INDICATOR OF COMPROMISE REPORT
    ================================
    Incident:     INC-2025-1547
    Date:         2025-11-15
    TLP:          AMBER
    Sharing:      FS-ISAC, internal SOC
    
    NETWORK INDICATORS
    Type     | Value                    | Confidence | Context
    ---------|--------------------------|------------|--------
    IPv4     | 185.220.101[.]42         | 95         | Qakbot C2 server
    IPv4     | 91.215.85[.]17           | 90         | Cobalt Strike C2
    Domain   | update.evil[.]com        | 95         | Staging domain
    URL      | hxxps://185.220[.]101.42/gate.php | 95  | C2 check-in
    JA3      | a0e9f5d64349fb13191bc7...| 80         | Qakbot TLS fingerprint
    
    HOST INDICATORS
    Type     | Value                    | Confidence | Context
    ---------|--------------------------|------------|--------
    SHA-256  | a1b2c3d4e5f6...         | 100        | Qakbot dropper
    SHA-256  | b2c3d4e5f6a7...         | 100        | Cobalt Strike beacon
    FilePath | C:\Users\*\AppData\Local\Temp\update.exe | 85 | Dropper location
    RegKey   | HKCU\...\Run\svcupdate  | 90         | Persistence
    Mutex    | Global\MTX_0x1234ABCD   | 95         | Qakbot instance lock
    Task     | WindowsUpdate           | 90         | Scheduled task persistence
    
    EMAIL INDICATORS
    Type     | Value                    | Confidence | Context
    ---------|--------------------------|------------|--------
    Sender   | billing@spoofed[.]com   | 95         | Phishing sender
    Subject  | "Invoice-Nov2025"       | 70         | Phishing subject line
    Hash     | c3d4e5f6a7b8...         | 100        | Malicious .docm attachment
    
    TOTAL: 14 indicators | HIGH confidence avg: 91
    

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