Analyzing Campaign Attribution Evidence

mukul975/Anthropic-Cybersecurity-Skills/skills/analyzing-campaign-attribution-evidence

作者 mukul97554a798831d2266a3ca61ce68a7acb80b81160d57Apache-2.034K 个星标收录于 2026年10月9日更新于 2026年10月9日仓库5周前更新

Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.

  1. 54a798831d2266a3ca61ce68a7acb80b81160d57当前提交 54a7988发布于 2026年10月9日

来源与署名

来源:mukul975/Anthropic-Cybersecurity-Skills位于skills/analyzing-campaign-attribution-evidence提交54a7988

许可证: Apache-2.0

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