Linux Has Another Page-Cache Root Bug
DirtyDecrypt is the latest Linux local privilege escalation tied to page-cache corruption, and public proof-of-concept code makes it a priority for rolling-release systems and exposed developer workstations.
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DirtyDecrypt is the latest Linux local privilege escalation tied to page-cache corruption, and public proof-of-concept code makes it a priority for rolling-release systems and exposed developer workstations.
Calif’s Mythos-assisted macOS exploit shows that the next cybersecurity shock may not be the exploit itself. It may be the collapsing cost of finding one.
EFF’s new guide on digital surveillance abuses in the Americas makes the case for clear legal limits, independent oversight, and real remedies before surveillance becomes normalized infrastructure.
Linux 7.1-rc4 brings the usual pile of hardware fixes and security updates, but the more interesting shift is procedural: the kernel is documenting responsible AI use and what qualifies as a security bug.
OpenAI's new Windows sandbox work for Codex shows that useful coding agents cannot live on vague trust. They need operating-system boundaries that match real developer workflows.
A small GitHub token format change exposed a brittle security assumption in Composer and turned ordinary GitHub Actions logs into a credential leak path for PHP teams.
GitHub's new generally available MCP secret scanning turns credential leaks into a live coding-time problem instead of a post-commit cleanup job. That is exactly where AI agents need security guardrails.
Microsoft and Mozilla have both shown that AI vulnerability discovery works best as a pipeline, not a magic model. The next security advantage belongs to teams that can turn model output into proven fixes.
Calif says Anthropic’s Mythos Preview helped its researchers build a working macOS kernel exploit in five days, showing how expert teams can use frontier AI to move faster against hard security problems.
A new cyber resilience framework argues that modern security cannot stop at prevention. Real resilience means planning, absorbing disruption, recovering fast, and adapting after failure.
New benchmark results suggest frontier AI agents are no longer limited to spotting vulnerabilities. Some can turn real software flaws into working exploits.