{"id":232218,"date":"2026-08-07T10:18:00","date_gmt":"2026-08-07T10:18:00","guid":{"rendered":"https:\/\/www.intrinsec.com\/?p=232218"},"modified":"2026-07-31T16:20:08","modified_gmt":"2026-07-31T16:20:08","slug":"claude-code-forensics","status":"publish","type":"post","link":"https:\/\/www.intrinsec.com\/en\/claude-code-forensics\/","title":{"rendered":"AI Agents X Digital Forensics 03 \u2013 ClaudeCode"},"content":{"rendered":"
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AI Agents X Digital Forensics<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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As Artificial Intelligence<\/strong> evolves from passive tools to autonomous agents<\/strong> capable of independent action, a new digital forensics subject has emerged: the forensic analysis of AI tooling on a given system<\/strong>.<\/p>

This article is the third chapter in an exclusive series dedicated to our latest research in identifying and exploiting the artifacts left behind<\/strong> by these programs.<\/p>

As AI agents navigate operating systems and execute complex tasks, they etch digital signatures into logs, memory, and file structures; our goal is to reveal how investigators can decode these remnants to reconstruct the actions undertaken using such tools in modern forensic investigations.<\/p>

This third article will be focused on the ClaudeCode <\/strong>coding agent.<\/p>

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What is ClaudeCode?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Claude Code<\/strong> is Anthropic<\/strong>\u2018's agentic AI tool designed to autonomously read codebases, execute complex multi-file edits, and run tests directly from your terminal. Unlike standard chat assistants, it acts as an active agent to manage and commit coding workflows.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Valuable forensic artifacts<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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ClaudeCode configuration folder<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A folder used for Claude Code configuration files can be found in C:\\Users\\ Claude<\/strong><\/code> on Windows.<\/p>

In this folder we can find several forensically interesting files:<\/p>

  • settings.json<\/code> : stores configuration for Claude Code.<\/li>
  • history.jsonl<\/code> : stores user prompts history in field display<\/code> with timestamp<\/code>, project<\/code> and sessionId<\/code><\/li>
  • policy-limits.json<\/code> : stores policies and restrictions<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    ClaudeCode plugins related data<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    It is possible to find installed plugins in C:\\Users\\ \\.claude\\plugins\\installed_plugins.json<\/code>
    Known marketplaces can be found in C:\\Users\\ \\.claude\\plugins\\known_marketplaces.json<\/code><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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    ClaudeCode projects related data<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    The full history of a project can be found in C:\\Users\\ \\.claude\\projects\\ \\*.jsonl<\/strong><\/code> files.
    These files contain much more information than the history.jsonl<\/strong><\/code> file as it includes responses from the agent.
    Some fields in an agent response are particularly useful, including but not limited to:<\/p>

    • parentUuid<\/code> : message the agent is responding to<\/li>
    • timestamp<\/code><\/li>
    • sessionId<\/code><\/li>
    • cwd<\/code> : the current working directory<\/li>
    • message.model<\/code> : the model used to respond to user prompt<\/li>
    • message.content.text<\/code> the agent's response<\/li>
    • message.content.type<\/code> == tool_use<\/code> : a tool has been called by the agent which can be a command line utility, MCP calls, etc.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

      As Artificial Intelligence evolves from passive tools to autonomous agents capable of independent action, a new digital forensics subject has emerged: the forensic analysis of AI tooling on a given system.<\/p>\n

      This article is the third chapter in an exclusive series dedicated to our latest research in identifying and exploiting the artifacts left behind by these programs.<\/p>","protected":false},"author":55,"featured_media":232368,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[374,375,373,176],"class_list":["post-232218","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cert","tag-ai","tag-artificial-intelligence","tag-digital-forensics","tag-incident-response"],"yoast_head":"\nClaude Code Forensics: AI Agent Artifacts | Intrinsec<\/title>\n<meta name=\"description\" content=\"Discover the forensic artifacts left by Claude Code on Windows ans how investigators can recover prompts, project history & agent activity\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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