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InjectLab

Free#25 of 29 in AI Security Testing Tools

InjectLab: A focused self-hosted catalog for structured LLM attack research. Ranked #25 of 29 in AI Security Testing Tools by our editors (6.7/10); pricing: Open source; best for security researchers needing attack technique catalogs.

6.7/10Editor score
InjectLab6.7 Explore InjectLab

At a glance

  • Editor score
    6.7 / 10
  • Pricing
    Open source
  • Best for
    Security researchers needing attack technique catalogs
  • Paid from
    Free
  • Prompt injection tests
    Yes
  • Facts checked
    21 Sep 2026
InjectLab screenshot
  • Where it wins

    • Detailed ATT&CK-style matrix covering diverse LLM attack techniques
    • YAML test suites support repeatable adversarial prompt research
    • Includes scoring, expected behavior, and mitigation guidance
  • Where it doesn't

    • Self-hosted deployment requires managing the runtime environment
    • Does not include integrations with other security or development tools
    • Custom test-case support is not verified

Our verdict on InjectLab

InjectLab is an open-source, self-hosted framework for adversarial large language model security research. It is aimed at security researchers, defenders, and developers who need an organized catalog of attack techniques and repeatable prompt-based exercises. Its ATT&CK-style matrix covers direct, indirect, obfuscated, and prompt-leakage injection; jailbreaks and instruction overrides; plugin abuse; system-prompt, memory, and configuration disclosure; output manipulation; bias; censorship bypass; and multi-agent prompt poisoning.

The strongest part of InjectLab is the breadth and structure of its technique catalog. YAML-based adversarial prompt suites organize the research material, while the CLI utility supports browsing those prompts. Each technique can include expected behavior, vulnerable behavior, scoring, and mitigation guidance, giving teams a common structure for reviewing model resilience. This makes InjectLab particularly suitable for security research and repeatable red-team exercises rather than general-purpose model monitoring. Its self-hosted deployment also fits teams that want to control where the testing framework runs.

InjectLab is narrower as a broader security workflow tool. Its positioning does not include integrations, so teams looking for connections to existing security, development, or model-management platforms should consider alternatives. Custom test-case support is also not verified, which may limit teams that need to extend the catalog with their own established scenarios. Choose InjectLab for a focused, open-source collection of LLM attack techniques and mitigation-oriented analysis; choose another tool when integrated workflows or verified custom test authoring are central requirements.

Your product? Our editors can test InjectLab in depth and publish a review, labelled as paid · from $149/mo →

InjectLab pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on github.com

InjectLab fact sheet

Free planNot verified
Paid fromFree
Prompt injection testsYes
Jailbreak testsYes
Data leakage testsYes
Unsafe output testsYes
Custom test casesNot verified
Deployment modeSelf_hosted
DeploymentSelf-hosted
SupportDocs
Built forSolo, Small business (editorial estimate)
PricingOpen source
Websitegithub.com
Facts checked21 Sep 2026

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Featured on iTechGuides

Featured on iTechGuides — InjectLab 6.7/10

InjectLab is listed in our AI Security Testing Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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