Search: “regression”

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1Password's AI patching benchmark is misleading

Trail of Bits reanalysis says 1Password's 26% AI clean-fix rate is misleading; 86% of eligible patches blocked exploits.

Trail of Bits critiques 1Password's FLAWED AI patching benchmark, arguing its 26% clean-fix headline mixes trials where agents were instructed to apply wrong fixes (22% of data) with trials that prohibited compiling or testing (36%). Restricting to reasonable conditions, 2,634 of 3,067 patches (86%) blocked the supplied exploit. Trail of Bits also reports 12.5% of 2,265 developer first fixes failed in its own 2024-2026 assessments, and released post-patch-validation and review-walkthrough agent skills.

Lobsters · securitySep 15, 20:03 UTC · 1d agoResearch1

Unmasking Cloud Identities: From Behavioral Clustering to Automated Detection

Unit 42 clusters behavior of 40,000+ AWS identities from 125 cloud environments to map functional roles and enable lightweight SQL-based detection.

Palo Alto Unit 42 built an unsupervised behavioral clustering model using UMAP and HDBSCAN on AWS CloudTrail logs to map cloud identities to functional roles such as administrators, backup services, security tooling and DevOps. The study analyzed over 40,000 identities across 125 cloud environments over two months. The researchers show that heuristics extracted from the clustering map can be implemented in standard SQL, enabling role classification at scale without running a continuous ML pipeline. The methodology extends to audit logs from other cloud providers, SaaS and Kubernetes.

Palo Alto Unit 42Sep 14, 10:00 UTC · 3d agoResearch

Testing race conditions with memory access tracing and stack-based delay injection

Google Project Zero released MAccConc, Linux kernel tooling that traces memory accesses to explore and test race condition interleavings.

A Google Project Zero researcher published MAccConc (Memory Access Concurrency), tooling for exploring possible interleavings of multithreaded test cases in the Linux kernel, available on GitHub. The tools use KCOV with ASAN outline-mode instrumentation to record per-access memory traces, enabling automatic testing of all A-B-A interleavings plus terminal and GUI explorers for manual analysis. The work targets confirming race condition candidates, building reliable regression tests, and enabling concurrency fuzzing, drawing on ideas from SKI and Ned Williamson's sockfuzzer.

Google Project ZeroSep 8, 07:00 UTC · 9d agoResearch2

Enterprise Defenses Recovered at the Edge and Collapsed Inside

Picus Labs' Blue Report 2026 finds perimeter prevention at 69% but post-compromise prevention just 37%, with reconnaissance blocked only 10% of the time.

Picus Labs' Blue Report 2026, based on 434,000+ simulated attacks across client production environments in H1 2026, found perimeter prevention effectiveness rose from 62% to 69% while the Post-Compromise Prevention Rate was only 37%. Quiet techniques fared worst: reconnaissance was blocked 10% of the time, registry-based credential access less than 1%, and the alert score stayed at 14% despite logging at a four-year high of 58%. IOC-based prevention fell to 50% from 71% in 2024, and Mimikatz's LSASS path was blocked about 94% while alternative credential-read paths went nearly undetected.

The Hacker NewsAug 12, 11:41 UTC · Aug 12, 2026Research