https://blog.washi.dev/posts/custom-attributes-and-why-they-suck/
Custom attributes in #dotnet give me nightmares.
Read my new blog post to learn why:
👉https://blog.washi.dev/posts/custom-attributes-and-why-they-suck/
Striga: Lifting x86 to LLVM IR with Python:
https://secret.club/2026/05/21/striga.html
#python #reversing #llvm #informationsecurity #infosec #cybersecurity
Striga: Lifting x86 to LLVM IR with Python:
https://secret.club/2026/05/21/striga.html
#python #reversing #llvm #informationsecurity #infosec #cybersecurity
📝 New blogpost: Leveraging LLMs for malware analysis - CFF deobfuscation
https://fernandodoming.github.io/posts/llm-cff-deobfuscation/
Motivated by this paper on Control Flow Flattening (CFF) deobfuscation via LLM, I decided to explore the topic with current frontier models. The paper does not provide code but outlines the algorithm for the chain-of-thought methodology. However, the paper feeds the LLM models with LLVM-IR or obfuscated source code. As the authors acknowledge, this approach is unrealistic, since real-world engineering tasks do not have access to this information. For this article, we will only use machine code or decompiled pseudocode generated by the Hex-Rays decompiler.