Category Archives: Uncategorized

VulHunt: Open-source vulnerability detection framework

Binarly has published VulHunt Community Edition, making the core scanning engine from Binarly’s commercial Transparency Platform available to independent researchers and practitioners. What VulHunt does VulHunt Community Edition is a framework for detecting vulnerabilities in compiled software. It operates against multiple binary representations simultaneously, working across disassembly, an intermediate representation layer, and decompiled code. Targets include POSIX executables and UEFI firmware modules. The detection logic is expressed in Lua rules. Each rule specifies metadata such … More → The post VulHunt: Open-source vulnerability detection framework appeared first on Help Net Security.
http://news.poseidon-us.com/TRWF7K

Fake scandal clips on Facebook bait victims into investment scams

Bitdefender researchers uncovered hundreds of scam campaigns promoted through Facebook ads that use fake news stories, celebrity impersonation, and redirect chains to funnel victims into investment fraud schemes. The activity ran through 310 malvertising campaigns distributed on Meta platforms from February 9 to March 5, 2026. The campaigns generated more than 26,000 ad sightings with localized content in more than 15 languages. The operation used three main scam sub-campaigns with a smaller fourth branch, and … More → The post Fake scandal clips on Facebook bait victims into investment scams appeared first on Help Net Security.
http://news.poseidon-us.com/TRWF6f

Scientists discover AI can make humans more creative

Artificial intelligence is often portrayed as a tool that replaces human work, but new research from Swansea University suggests a far more exciting role: creative collaborator. In a large study with more than 800 participants designing virtual cars, researchers found that AI-generated design galleries sparked deeper engagement, longer exploration, and better results.
http://news.poseidon-us.com/TRWBfG

THOR AI solves a 100-year-old physics problem in seconds

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system uses tensor network mathematics and machine-learning models to solve the problem directly. The approach can compute key thermodynamic properties hundreds of times faster while preserving accuracy. Researchers say this could accelerate discoveries in materials science, physics, and chemistry.
http://news.poseidon-us.com/TRWBdh