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Google Chrome 153 Update Fixes 42 Security Flaws, Including 3 Critical Ones
Google shipped Chrome 153 fixing 42 vulnerabilities, including three Critical use-after-free and out-of-bounds bugs, with no active exploitation reported.
Google's Chrome 153 Stable channel update (153.0.8010.47/.48 for Windows/macOS, 153.0.8010.47 for Linux) patches 42 vulnerabilities: three Critical, 27 High, ten Medium, and one Low. The Critical flaws are CVE-2026-91721 (use-after-free in Internals), CVE-2026-91749 (use-after-free in Workers), and CVE-2026-91726 (out-of-bounds read in WebGL). Google's bulletin states none of the patched issues are actively exploited, and detailed bug links remain restricted until most users receive the fixes. Bug bounty awards include $1,500 to Hafiizh for CVE-2026-91724 and $1,000 to Jihyeon Jeong of Seoul National University for CVE-2026-91728.
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Google Chrome 153 Released With 230 Security Fixes and Zero-Day Exploited in the Wild
Google released Chrome 153 with 230 security fixes, patching CVE-2026-87491, a V8 out-of-bounds write zero-day actively exploited in the wild.
Google shipped Chrome 153 (153.0.8010.36/.37) for Windows, macOS, and Linux with 230 security fixes, including CVE-2026-87491, a medium-severity V8 out-of-bounds write being exploited in the wild. The release also fixes five critical vulnerabilities: four in WebGL (two use-after-frees, an out-of-bounds write, a buffer overflow) and one use-after-free in Cast. High-severity V8 use-after-free and type-confusion defects are among the fixes, and Google has restricted technical details until most users are patched. Administrators should verify deployed versions on managed endpoints, as Chrome-derived browsers may follow different patch schedules.
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Chrome Targeted by Active In-the-Wild Exploit Tied to Undisclosed High
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Top 10 Best SaaS Security Posture Management (SSPM) Tools in 2026
Scorecard ranks 2026 SSPM platforms with AppOmni and Obsidian Security leading after CrowdStrike folded Adaptive Shield into its Falcon platform.
The editorial scorecard rates ten SaaS security posture management tools on app coverage (30%), misconfiguration depth, SaaS identity/OAuth risk, shadow-SaaS discovery, and value. AppOmni scores 9.0 for unmatched app coverage across enterprise SaaS suites, and Obsidian Security scores 8.9 for SaaS identity threat detection and ITDR workflows. CrowdStrike now delivers Adaptive Shield's SSPM natively within Falcon, and Zscaler's Canonic Security acquisition signals continued platform consolidation.
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Google Chrome 153 Released With Fixes for 42 Security Vulnerabilities
Google shipped Chrome 153 to the Stable channel fixing 42 vulnerabilities, including three critical flaws in WebGL, Internals, and Workers; no exploitation reported.
Google released Chrome 153 (153.0.8010.47/48) for Windows, macOS, and Linux, patching 42 security vulnerabilities including three rated critical: CVE-2026-91726 (out-of-bounds read in WebGL), CVE-2026-91721 (use-after-free in Internals), and CVE-2026-91749 (use-after-free in Workers). Twenty-eight fixes are rated high severity, covering use-after-free, type confusion, race condition, integer overflow, and authorization flaws across components like V8, Skia, DOM, ServiceWorker, PDF, and Extensions. Google's bulletin indicates no vulnerabilities are currently being exploited in the wild, and external researchers earned rewards up to $1,500 for reported issues. Enterprises are advised to verify fleet-wide deployment via browser-management consoles and enable automatic updates.
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A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLM
A*-Thought-V2 compresses redundant chain-of-thought steps into latent tokens guided by hidden-state geometry, improving accuracy up to 2.6% while halving response length.
A*-Thought-V2 models chain-of-thought as a hidden-state trajectory projected into a 3D PCA space and compresses steps whose transitions deviate from the question-to-solution direction into continuous latent tokens, keeping aligned steps explicit. Training uses stepwise embedding forcing and label forcing with soft multi-modal vocabulary supervision. On Qwen3.5-9B and Qwen3.6-27B across six in-domain and out-of-domain benchmarks it improves average accuracy by up to 2.6%, cuts response length by up to half, and raises Accuracy per Computation Unit 2.29x while reducing preprocessing and training time by 94.6% and up to 80.3%.
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A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLM
A*-Thought-V2 compresses chain-of-thought into latent tokens using geometric hidden-state dynamics, cutting computation while improving accuracy on Qwen models.
A*-Thought-V2 models chain-of-thought as a hidden-state trajectory and interleaves explicit text with continuous latent tokens, compressing steps whose transitions deviate from the question-to-solution direction. Trained via stepwise embedding forcing and label forcing with soft multi-modal supervision, it was evaluated on Qwen3.5-9B and Qwen3.6-27B across six benchmarks. Reported results include up to 2.6% average accuracy gain, up to 50% shorter responses, 2.29x higher Accuracy per Computation Unit, 94.6% faster preprocessing, and up to 80.3% faster training.
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Researchers built a $7 gadget for anyone paranoid about hidden cameras in hotel rooms
KAIST-led researchers built SweepLED, a sub-$7 smartphone LED clip using AI to detect hidden cameras with 93.9-95.1% accuracy.
SweepLED, built by KAIST with the National University of Singapore and Singapore Management University, clips 15 LEDs to a smartphone camera and sweeps multi-angle light while the phone films reflections. A spatio-temporal AI model compares LED-on and LED-off frames to distinguish lens reflections from glossy surfaces across three viewpoints. Testing on 30 objects, 12 with hidden cameras, achieved 93.9% accuracy handheld and 95.1% static. Core components cost under $7, targeting privacy checks in hotels and short-term rentals.
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Unfold The World: Factorize 4D Properties in Reinforcing Spatial Reasoning
FactoSR factorizes 4D spatial reasoning into XY, Z, and T reinforcement-learning sub-objectives, boosting VLM performance on VSI-Bench by 5.9% and All-Angles-Bench by 4.5%.
Researchers present FactoSR, a factorized reinforcement learning framework that decomposes world-consistent reasoning into planar correspondence, depth consistency, and temporal reversibility sub-objectives. Optimizing these verifiable constraints turns the ill-posed projection recovery problem into tangible reasoning steps. Evaluations show gains of 5.9% on VSI-Bench and 4.5% on All-Angles-Bench for 3D and 4D reasoning, arguing VLMs' spatial bottleneck stems from training on 2D projections versus latent 3D geometry and temporal continuity.
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Urgent: Google Releases Critical Chrome Update for CVE-2025
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[AINews] AEF-1 standard emerges for Third Party Evaluators, as Xai, OpenAI, and Anthropic all cosign
xAI, OpenAI, and Anthropic cosign the AEF-1 third-party evaluation standard while Dario Amodei proposes embedded evaluators for safety verification.
The AI Evaluator Forum published AEF-1, a baseline standard for independent third-party AI evaluations covering access, conflicts of interest, funding relationships, recusal, and transparency, cosigned by xAI, OpenAI, and Anthropic. Dario Amodei wrote a rare personal blogpost proposing embedded evaluators such as METR with desks, badges, company laptops, and internal-risk-team-level access to verify safety commitments, plus democratic and global coordination frameworks. The roundup also covers the pacing debate: Bilal Chughtai left Google DeepMind arguing progress may outrun alignment, while critics including Aidan Gomez and Cohere push back against slowdowns and lab gatekeeping. Additional items include Cline Desktop's launch with open-weight model support.
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Chrome 153 Fixes 230 Vulnerabilities, Including One 0-Day Exploited in the Wild
Google shipped Chrome 153 with 230 fixes, including CVE-2026-87491, a V8 out-of-bounds write zero-day exploited in the wild.
Chrome 153 (153.0.8010.36/.37) rolls out to Windows, Mac, and Linux with 230 security fixes, among the largest patch batches in recent Chrome history. The headline flaw is CVE-2026-87491, a Medium-severity out-of-bounds write in the V8 JavaScript and WebAssembly engine that Google confirmed is exploited in the wild; it was reported by Jihyeon Jeong of Compsec Lab at Seoul National University for a $2,500 bounty. The release also closes five Critical-rated flaws, including CVE-2026-87464, CVE-2026-87488, CVE-2026-87438, CVE-2026-87527, and CVE-2026-87628, mostly use-after-free and out-of-bounds write bugs in WebGL and Cast, plus 43 High-severity issues across ANGLE, PDFium, V8, DevTools, and Payments. Several bugs were surfaced with AI-assisted discovery tools, including OpenAI's Codex Security team, and top bounties reached $5,000 for CVE-2026-87504.
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Google fixed a new actively exploited Chrome zero
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