Cybersecurity toolkits · Rank #4

A

attackgen

Grade A: derived only from the two verdicts below. How grades work

AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK framework. The tool generates tailored incident response scenarios based on user-selected threat actor groups and your organisation's details.

ActiveCurrent depsFree

Why this verdict

How we check →
  • 54 commits by 3 contributors in the last 90 days (15 in the last 30). receipt ↗
  • Latest release v0.17.0, 20 days ago. receipt ↗
  • On current major: Streamlit. receipt ↗

Snapshot: commit 3add5f1 on main, checked 2026-10-19 07:02 UTC. Receipts link to files at this exact commit.

Dependency freshness

PackageDeclaredLatestStatus
Streamlit streamlit1.65.01.66.0Current

Declared = lowest version the kit's dependency file (package.json, pyproject.toml or requirements.txt) allows. Latest = the npm "latest" tag or the newest PyPI release. TypeScript, the Stripe SDK, FastAPI and other 0.x packages are shown but not counted in the verdict.

What's in the stack

Framework
Streamlit

Detected from declared dependencies. A listed package means it's installed, not necessarily fully wired up.

What the README says you get

  • AI
    Threat actor scenariosGenerates unique incident response scenarios based on chosen threat actor groups or ATLAS case studies.
  • AI
    AI insider threat scenariosGenerate **AI Insider Threat Scenarios** - incident response exercises in which a frontier AI agent deployed inside your organisation behaves as an insider threat
  • AI
    AttackGen Assistant chatAttackGen Assistant - a chat interface for updating and/or asking questions about generated scenarios, with a direct route back to the page the scenario came from.
  • AI
    Multi-provider model supportUse the OpenAI API, Anthropic API (Claude models), Google AI API, Mistral API, Groq API, or any custom OpenAI-compatible endpoint (Ollama, LM Studio, Azure OpenAI, OpenRouter, etc.) to generate incide
  • Analytics
    Scenario feedback captureCapture user feedback on the quality of the generated scenarios.
  • Content
    Scenario templatesUse scenario templates to quickly generate custom scenarios based on common types of cyber incidents, including AI/ML-specific attack patterns.
  • Content
    Markdown downloadsDownloadable scenarios in Markdown format.
  • Other
    Organisation tailoringAllows you to specify your organisation's size and industry for a tailored scenario.
  • Other
    MITRE ATT&CK and ATLASSupports MITRE ATT&CK Enterprise, ICS (Industrial Control Systems), and ATLAS (Adversarial Threat Landscape for AI Systems) frameworks.
  • Other
    Technique listingDisplays a detailed list of techniques used by the selected threat actor group or case study.
  • Other
    Custom technique scenariosCreate custom scenarios based on a selection of ATT&CK or ATLAS techniques.
  • UI
    Guided setup readinessevery page shows the same **Setup** sidebar, lists every outstanding requirement in one readiness summary, and keeps **Generate** disabled until the workflow is ready.
  • UI
    Session result persistenceeach scenario page keeps its own latest result, its captured inputs and its downloads across reruns and navigation
  • UI
    Scenario summary navigationLong scenarios come with a compact summary and section navigation, including shortcuts to the injects, success criteria, metrics, artefacts and rules of engagement a facilitator runs the exercise from

Extracted from the kit's README by a local AI model (deepseek-flash) on Sep 29, 2026. Every item is checked against an exact README quote. A README claim is the maker's description, not something we tested.

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History

Sep 29, 2026 → Oct 19, 2026. One square per check, colored by maintenance status. Hover for details.

Show as a table
DateMaintenanceDependenciesCommits (90d)
Oct 19, 2026ActiveCurrent deps54
Oct 12, 2026ActiveCurrent deps60
Sep 29, 2026ActiveCurrent deps56

Sources

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