You are using an out of date browser. It may not display this or other websites correctly. You should upgrade or use an alternative browser.
binary analysis
About this tag
Binary analysis on WindowsForum.com covers the use of AI and large language models to decompile and reverse engineer raw machine code, including legacy firmware and malware. Discussions highlight how tools like LLMs can surface latent bugs in old binaries, such as a 40-year-old Apple II utility, and lower the technical barrier for both security defenders and attackers. Microsoft's Project Ire is also featured as an autonomous AI agent that performs binary analysis for advanced malware detection without human intervention. These threads explore the implications for firmware security, embedded systems, and enterprise cybersecurity, emphasizing the growing role of AI in automating reverse engineering and vulnerability discovery.
Mark Russinovich, Microsoft Azure’s chief technology officer, has quietly turned a 40‑year‑old Apple II utility he wrote as a teenager into a sobering demonstration: modern large language models can decompile raw machine code, reason about its control flow, and surface real bugs in...
Mark Russinovich's thirty‑plus‑year‑old Apple II utility has become an unlikely canary in a rapidly evolving threat: modern large language models can reverse engineer raw machine code and surface latent bugs — even in 6502 binaries typed into a magazine in 1986 — and that capability both helps...
Microsoft has unveiled Project Ire, an autonomous AI agent designed to revolutionize malware detection by independently analyzing and classifying software without human intervention. This development marks a significant advancement in cybersecurity, aiming to enhance the efficiency and accuracy...