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analyzing-tls-certificate-transparency-logs

Queries Certificate Transparency logs via crt.sh and pycrtsh to detect

联网写文件无严重或高危命中mukul975/Anthropic-Cybersecurity-Skills

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这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

Analyzing TLS Certificate Transparency Logs

When to Use

  • When investigating security incidents that require analyzing tls certificate transparency logs
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Familiarity with security operations concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

Query crt.sh Certificate Transparency database to find certificates issued for

domains similar to your organization's brand, detecting phishing infrastructure.

from pycrtsh import Crtsh

c = Crtsh()
# Search for certificates matching a domain
certs = c.search("example.com")
for cert in certs:
    print(cert["id"], cert["name_value"])

# Get full certificate details
details = c.get(certs[0]["id"], type="id")

Key analysis steps:

  1. Query crt.sh for all certificates matching your domain pattern
  2. Identify certificates with typosquatting variations (Levenshtein distance)
  3. Flag certificates from unexpected CAs
  4. Monitor for wildcard certificates on suspicious subdomains
  5. Cross-reference with known phishing infrastructure

Examples

from pycrtsh import Crtsh
c = Crtsh()
certs = c.search("%.example.com")
for cert in certs:
    print(f"Issuer: {cert.get('issuer_name')}, Domain: {cert.get('name_value')}")

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