Russian Attackers Weaponize WinRAR Flaw Against Ukrainian Orgs
Two separate campaigns target CVE-2025-8088, fixed last July, to conduct data theft and cyberespionage against military and government targets in Ukraine.
Insights
Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
Two separate campaigns target CVE-2025-8088, fixed last July, to conduct data theft and cyberespionage against military and government targets in Ukraine.
This post has a lot to cover. Before we get to any of it, I want to take on the uncomfortable subject first: quality. Two incidents from the past two weeks deserve a public explanation: one was a bug that fits into our normal iteration loop, and one was a serious mistake on my part. Both deserve the kind of explanation I would want if I were on the other side of the import. What is Codename One? Codename One is an open-source framework for building native iOS, Android, desktop, and web apps from
Comments
Use-after-free bug can be exploited to evade sandbox defenses.
Public LLM models with safeguards turned off can also build working exploits, increasing patch gap risks. The post Claude Mythos Turns N-Days Into N-Hours With Rapid Exploit Creation appeared first on SecurityWeek.
Comments
Training a speech AI model to correctly recognize or synthesize clinical terminology is surprisingly difficult. Drug names like Acetaminophen, Amlodipine,... Training a speech AI model to correctly recognize or synthesize clinical terminology is surprisingly difficult. Drug names like Acetaminophen, Amlodipine, Cefazolin, and Biktarvy are not part of everyday vocabulary. Procedure names, anatomy terms, and specialty-specific diagnoses introduce the same problem in a different form. Off-the-shelf
I run test automation for a graphics team that ships software to streaming devices. About a year ago, we changed how our visual regression suite stores and compares its references. The old approach kept around 18GB of PNG golden images in the test repo and ran a pixel-by-pixel diff on every comparison. The new approach stores around 19KB of MD5 hashes in a JSON file and compares hash strings. Storage dropped by roughly three orders of magnitude. Comparisons became effectively free. A category of
Work with 360Softy
Book a free consultation and we will tell you honestly whether we can help.