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sandeep_kamble

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PROMPTPurify: 14 MB CPU-only prompt-injection guard (benchmarked vs. OSS guard)

github.com
1 points·by sandeep_kamble·पिछला माह·0 comments

[untitled]

1 points·by sandeep_kamble·2 माह पहले·0 comments

[untitled]

1 points·by sandeep_kamble·2 माह पहले·0 comments

Sandyaa: Recursive-LLM source code auditor that writes exploitable PoCs

github.com
2 points·by sandeep_kamble·3 माह पहले·1 comments

[untitled]

1 points·by sandeep_kamble·4 माह पहले·0 comments

[untitled]

1 points·by sandeep_kamble·5 माह पहले·0 comments

GeminiJack: A prompt-injection challenge demonstrating real-world LLM abuse

geminijack.securelayer7.net
1 points·by sandeep_kamble·7 माह पहले·1 comments

Show HN: AI Agent for Microsoft Grap Red Team Framework

github.com
3 points·by sandeep_kamble·9 माह पहले·0 comments

comments

sandeep_kamble
·पिछला माह·discuss
[flagged]
sandeep_kamble
·3 माह पहले·discuss
Sandyaa is an open-source autonomous source code auditor. Point it at a directory or a git URL and it runs end-to-end: builds context, detects vulnerabilities, writes runnable proof-of-concepts, and emits a findings/ folder where every claim in evidence.json is linked back to a file and line. why to wait for Mythos :))
sandeep_kamble
·7 माह पहले·discuss
A few days ago, a research team disclosed GeminiJack, a prompt-injection vulnerability affecting LLM-powered applications.

I recreated the same class of vulnerability as an interactive challenge to demonstrate how subtle prompt injection flaws can bypass guardrails, alter model behavior, and lead to unintended actions in real systems.

This is not a write-up, but a hands-on challenge. If you’re working with LLM apps, RAG pipelines, or AI agents, you can try breaking it yourself and see where traditional controls fail.

Happy to discuss the technical details, threat model, and mitigations in the comments.
sandeep_kamble
·पिछला वर्ष·discuss
Congratulations Paras, you made it! Looking forward to your next gig!