We introduce two contributions in this paper:
1) The LLM Scalability Risk Index: A novel parametric way to measure risk in deploying LLMs in security-critical environments.
2) LLM Supply Chain Integrity: Establishing a "root of trust" across the entire model supply chain.
Hi folks, releasing an AI-upgrade 🤖 to my Github tool for detecting and exploiting Server side request forgery (SSRF)
📷 Supports ollama (for local inference) and cloud LLMs (gemini etc. )
https://t.co/UXqkrTXo7u
#security#appsec#owasp#PenTesting#ai#BugBounty#infosec
Hi folks, releasing an AI-upgrade 🤖 to my Github tool for detecting and exploiting Server side request forgery (SSRF)
📷 Supports ollama (for local inference) and cloud LLMs (gemini etc. )
https://t.co/UXqkrTXo7u
#security#appsec#owasp#PenTesting#ai#BugBounty#infosec
Can Static analysis combined with LLM reduce the long standing problem of False positive in Code scanning. We saw a 91% reduction in FPs. Take a look.
https://t.co/O9FKnw7QuK
#security#cybersecurity#sast#codesecurity#llm#semgrep
🚨 New Training at Ringzer0 2025 🚨
We’re excited to announce our brand-new course:
Applied AI & LLM for Android APK Reversing and Analysis
📅 October 26 - November 1, 2025 - Virtual, Live Training
In this 4 half-day hands-on course, participants will learn how to leverage AI/LLM-powered workflows to accelerate Android reverse engineering, auditing, and analysis. Expect a mix of:
🔹 APK reversing & decompilation
🔹 Dynamic analysis with AI-assisted agents
🔹 Automating code auditing with MCPs
🔹 Real-world labs & case studies
👉 Register now: https://t.co/ZWKxPluUai
Seats are limited, don’t miss out!
So cool to see one of my tools See-SURF, got added to BlackArch Linux. 🥳
It helps detect potential SSRF parameters.
https://t.co/UXqkrTXo7u
#security#pentesting#blackarchlinux#BugBounty
Deobfuscating Android Apps with Androidmeda LLM: A Smarter Way to Read Obfuscated Code
✅As a bonus, example of deobfuscating #Crocodilus Malware
https://t.co/AikM0uUuX9