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https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
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mukul975
886658219f
- Add mitre_f3 frontmatter block to 94 fraud-relevant skills (phishing, account takeover, banking malware, BEC, identity/KYC, payment/card fraud, money-mule/cash-out, ransomware extortion, DFIR, threat intel) - Map each skill to F3 v1.1 tactics + precise technique IDs, including the two F3-specific tactics ATT&CK lacks: Positioning (FA0001) and Monetization (FA0002) - All 123 F3 v1.1 technique IDs validated against the upstream STIX bundle (github.com/center-for-threat-informed-defense/fight-fraud-framework): 0 invalid IDs, 0 invalid tactics, 0 name mismatches, no placeholder IDs - mitre_f3 kept as a separate block from mitre_attack (F3 redefines several ATT&CK tactics for the fraud context) - Add docs/mitre-f3-mapping.md schema reference - Update README: F3 as the 6th framework, dedicated F3 section + badge
114 lines
2.9 KiB
Markdown
114 lines
2.9 KiB
Markdown
---
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name: analyzing-tls-certificate-transparency-logs
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description: 'Queries Certificate Transparency logs via crt.sh and pycrtsh to detect
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phishing domains, unauthorized certificate issuance, and shadow IT. Monitors newly
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issued certificates for typosquatting and brand impersonation using Levenshtein
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distance. Use for proactive phishing domain detection and certificate monitoring.
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'
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domain: cybersecurity
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subdomain: security-operations
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tags:
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- certificate-transparency
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- ct-logs
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- crt-sh
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- phishing-detection
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- tls-monitoring
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- security-operations
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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atlas_techniques:
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- AML.T0073
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- AML.T0052
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nist_csf:
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- DE.CM-01
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- RS.MA-01
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- GV.OV-01
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- DE.AE-02
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mitre_attack:
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- T1583.001
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- T1566.002
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- T1598.003
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- T1583.006
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mitre_f3:
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version: '1.1'
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tactics:
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- reconnaissance
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- resource-development
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- initial-access
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techniques:
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- id: T1598
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name: Phishing for Information
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tactic: reconnaissance
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source: attack
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- id: T1593
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name: Search Open Websites/Domains
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tactic: reconnaissance
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source: attack
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- id: T1583.001
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name: 'Acquire Infrastructure: Domains'
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tactic: resource-development
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source: attack
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- id: F1020.002
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name: 'Create Fake Materials: Fake Website'
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tactic: resource-development
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source: f3
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- id: T1660
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name: Phishing
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tactic: initial-access
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source: attack
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---
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# Analyzing TLS Certificate Transparency Logs
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## When to Use
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- When investigating security incidents that require analyzing tls certificate transparency logs
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Familiarity with security operations concepts and tools
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- Access to a test or lab environment for safe execution
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- Python 3.8+ with required dependencies installed
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- Appropriate authorization for any testing activities
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## Instructions
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Query crt.sh Certificate Transparency database to find certificates issued for
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domains similar to your organization's brand, detecting phishing infrastructure.
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```python
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from pycrtsh import Crtsh
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c = Crtsh()
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# Search for certificates matching a domain
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certs = c.search("example.com")
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for cert in certs:
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print(cert["id"], cert["name_value"])
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# Get full certificate details
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details = c.get(certs[0]["id"], type="id")
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```
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Key analysis steps:
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1. Query crt.sh for all certificates matching your domain pattern
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2. Identify certificates with typosquatting variations (Levenshtein distance)
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3. Flag certificates from unexpected CAs
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4. Monitor for wildcard certificates on suspicious subdomains
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5. Cross-reference with known phishing infrastructure
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## Examples
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```python
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from pycrtsh import Crtsh
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c = Crtsh()
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certs = c.search("%.example.com")
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for cert in certs:
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print(f"Issuer: {cert.get('issuer_name')}, Domain: {cert.get('name_value')}")
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```
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