During my last FOR610 session, a student asked me if I had some statistics in mind about the compilers used to generate malicious PE files? A couple of months ago, I shared some stats about the trend in 64bits VS. 32bits malware[1]. Can we go a bit further? I (vibe-)coded a Python script based on the pefile library[2] to extract some info from the PE headers. Indeed, the PE file format contains a lot of metadata! They can be accessed using a lot of tools, like Detect It Easy:

#infosec #sans #threatintel #malicious #stats #27th #aug #thu

The weather will remain unsettled across the next few days with showers, longer spells of rain and thunderstorms all likely at times across the weekend.

#news #world #bbc #rain #thunderstorms #weekend #across #bank

Hi folks, Alex here from ThunderPhone. Today we're launching v2. Voice AI has been a hot topic for the past year or two, both for automating phone calls and for adding voice features to apps. Most of the voice agents deployed have been using a "3 step pipeline": a transcription model to turn user speech into text, an LLM to generate a response in text, and a TTS model to turn the response text into audio. But the performance of these 3-step voice agents has often been so-so, largely for 3 reasons: 1) Voice agents have to be fast, usually requiring non-thinking LLMs to handle the conversation.…

#hackernews #showhn #projects #voice #thunderphone #agents #text #architecture