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  • Prescient Security
  • India

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@Red-Knights-CTF

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Hellsender01/README.md

Security researcher who enjoys poking at systems that were never meant to break.

Lately I have been spending most of my time exploring AI and LLM security. This includes prompt injection, agent based systems and red teaming language models.

What I am working on

  • LLMMap
    An automated prompt injection testing framework for LLM-integrated applications, inspired by sqlmap. Discovers injection points in HTTP requests, generates targeted payloads using a dual-LLM architecture and confirms findings with statistical reliability testing. Covers 227 prompt injection techniques across 18 attack families with support for Ollama, OpenAI, Anthropic and Google backends. LLMMap

  • Prompt Injection Taxonomy
    253 prompt injection techniques organized into 17 attack categories with mapping to the OWASP LLM Top 10.
    Prompt Injection Taxonomy

  • Researching attack surfaces in agent based AI systems and RAG pipelines

Pinned Loading

  1. LLMMap LLMMap Public

    Automated prompt injection testing framework for LLM-integrated applications with dual-LLM architecture.

    Python 1

  2. prompt-injection-taxonomy prompt-injection-taxonomy Public

    A structured reference covering 253 prompt injection techniques across 17 attack categories, 4 injection classes and the full OWASP LLM Top 10 threat surface.

    3 2

  3. PentesterPro PentesterPro Public

    Autonomous Pentesting System using Flask and LLMs.

    Python 4 2

  4. Red-Knights-CTF/writeups Red-Knights-CTF/writeups Public

    C 27 11