溯源归因
原名：analyzing-campaign-attribution-evidence
运用钻石模型与ACH方法，系统评估网络活动证据，综合基础设施、TTP、代码及时间语言特征，生成可辩护的归因置信度评估。
- 分类
- 数据分析
- 版本
- v1.0
- 作者
- 弈韬(@ra1nzzz)
- 下载
- 0
- 收藏
- 0
- 发布
- 2026-08-18
- 更新
- 2026-08-25
- TRACE 评分
- 3.6 / 5
内容概览
Campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attribution indicators using the Diamond Model and ACH (Analysis of Competing Hypotheses), analyzing infrastructure overlaps, TTP consistency, malware code similarities, operational timing patterns, and language artifacts to build confidence-weighted attribution assessments. - When investigating security incidents that require analyzing campaign attribution evidence - 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 - Python 3.9+ with attackcti, stix2, networkx libraries - Access to threat intelligence platforms (MISP, OpenCTI) …