| Work | https://www.hex-rays.com/ |
| Blog (paused) | http://igorsk.blogspot.com/ |
| GitHub | https://github.com/skochinsky |
| https://twitter.com/IgorSkochinsky |
| Work | https://www.hex-rays.com/ |
| Blog (paused) | http://igorsk.blogspot.com/ |
| GitHub | https://github.com/skochinsky |
| https://twitter.com/IgorSkochinsky |
Analyzing an automotive ECU firmware is sometimes quite challenging, especially when you cannot emulate some of its most interesting functions to find vulnerabilities, like ECUs based on Renesas RH850 system-on-chips. This article details how we managed to add support for this specific architecture into Unicorn Engine, the various challenges we faced and how we successfully used this work to emulate and analyze a specific function during an assignment.
@pcy NEC had one called SM850, still available from https://www.renesas.com/en/software-tool/pm
There was also a V850 model for OVPsim, but not sure if it’s still available after Imperas got acquired by Synopsys.
Anna's Archive backed up Spotify. They got 99.9% of metadata, and 300TB of music representing 86 million tracks - original 160kbps OGG for tracks with popularity>0, and re-encoded 75kbps for popularity=0. absolutely wild project.
the metadata in particular is a hugely useful data source. MusicBrainz catalogues 5 million unique ISRCs (like ISBNs but for music releases), whereas this archive has a whopping 186 million.

We backed up Spotify (metadata and music files). It’s distributed in bulk torrents (~300TB). It’s the world’s first “preservation archive” for music which is fully open (meaning it can easily be mirrored by anyone with enough disk space), with 86 million music files, representing around 99.6% of listens.
Do LLMs actually help hackers reverse engineer and understand the software they want to exploit?
We ran the first fine-grained human study of LLMs + reverse engineering.
To appear at NDSS 2026.
Interested? Some quick findings in 🧵👇
Paper: https://www.zionbasque.com/files/papers/dec-synergy-study.pdf
As the Wayback Machine approaches 1 trillion archived web pages this October, we want your help picking memorable ones to highlight.
Reply with your favorite pages to nominate them for the spotlight.
We're headed to REcon Montreal later this month!
Give us a 👍 if you're going too.
Here’s where you can find us:
➥ Wed–Thurs: Supporting the next generation at Blackhoodie Training
➥ Friday: Join us for the "Beyond Decompilation" panel at 5pm
➥ All weekend: Spot us around, share your feedback & snag some swag!
We’re not at a booth, so keep an eye out for folks in Hex-Rays attire. 👀
OR, you can skip the hunt and schedule time with us here: https://eu1.hubs.ly/H0k_rjY0