Top Tweets for #binlex
🧠 Advanced ARM64 LLVM deobfuscation with #Binlex:
✅ Disassemble ARM64 with opaque predicate
✅ Patch semantics with correct ABIs
✅ Lift to LLVM IR
✅ LLVM strips opaque predicate
✅ Reconstruct clean executable
🚀 Execute it!
https://t.co/vkrfBayIXD

Great research paper, lots of good principals I can consider implmenting in #binlex.
https://t.co/mTCJmTVWAP
Binlex
🔗 https://t.co/5cJ1i3eBpF
👤 Mandiant Threat Intel
📌 Spectacular: Binary feature extractor using pattern-matching—feeds ML models for binary similarity detection. Next-gen malware clustering.
#ReverseEngineering #AIForensics
🚨 Live now! 🚨 Jump into #Malware Office Hours on Twitch 🎥🔐 Watch me craft slides about #Binlex and chat about binary similarity and malware genomics. 💻⚡
🔴 Tune in here: https://t.co/JSifptAHrS #MalwareAnalysis #CyberSecurity

🚀 Big news for reverse engineers! With IDA 9+, you can now run IDAPython in headless mode alongside #binlex for seamless similarity analysis & YARA rule creation. Streamline your workflow! 💻🔍
👉 Grab it here: https://t.co/8RGtxFiuBo

🚀 Exciting update for the #binlex IDA plugin! 🎉 Just added 4 new actions: now you can copy function vectors, block vectors, AND their corresponding #binlex JSON.💡⚙️ #Cybersecurity #MalwareAnalysis
👉https://t.co/8RGtxFiuBo

🚀Just released v2.0.0-rc2 of #Binlex!
This update includes:
🔹 Vector Database (Like Self-Hosted Lumina)
🔹 IDA plugin
🔹 Python API
...and more!
📂 Supporting Linux, Windows, & macOS.
👉 Try it now: https://t.co/ltkesB9OhH
Seeking feedback prior to the v2.0.0 release! 🛠️🙌
🚀 Excited about #binlex updates! Now featuring:
✅ GNN & Minhash scores
✅ Combined score
✅ Timestamps, usernames
✅ LHS/RHS names, vectors, & size ratios
Coming next: "Accept All" & "Accept Selection" for streamlined workflows.
Check it out 👉 https://t.co/8RGtxFiuBo

🚀 Exciting news! A #Binlex vector database demo for you today! 🎉 Still fine-tuning the details, but it’s shaping up to be a for function similarity queries. 🧠⚡ Stay tuned for updates! 🛠️ #CyberSecurity #MalwareAnalysis
🚀 Using a Graph Neural Network (GNN) to build 4D vectors from function control flow graph structural data, find cosine similarity, then average with minhash similarity. 🎯 The result? Wider hunting matches + more realistic results when combined! 💡✨ #binlex #AI #Cybersecurity

🚀Advanced JQ queries for #binlex directly in IDA plugin. Super charge your YARA writing workflow.
https://t.co/8RGtxFiuBo

Added color map navigation to #binlex IDA plugin. There will be more colors, only grayscale atm, but have many others.
One to many #binlex multi-threaded block chromosome comparisons in Python bindings bypassing the dreaded Python Global Interpreter Lock (GIL).

Well, the #binlex IDA plugin, is now getting some comparisons, back. I have some speed improvements and other settings to add, but this is a great start!
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