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CategoryAll
Smart search ranks by meaning as well as keywords (one row per story, last 45 days).
Securing the unpatchable in an age of AI-driven vulnerabilities
Cisco Talos argues AI-driven vulnerability discovery leaves unpatchable OT systems exposed, recommending virtual patching via NGFW/IPS and micro-segmentation.
AI-assisted code analysis is uncovering vulnerabilities faster than organizations can patch, leaving certified or end-of-life OT systems with unmitigated known flaws. Talos recommends virtual patching with next-generation firewalls and IPS, micro-segmentation using VLANs and ACLs, and building visibility-based inventories of legacy systems. The article cites WannaCry's impact on the NHS and 2023 exploitation of end-of-life software in government systems, and warns that air gaps and data diodes are routinely circumvented by operational shortcuts.
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What Else Needs Fixing? Exploring Cost-Effective Test-Time Compute for Revision Propagation in Artifacts Generated Through Conversation
A new benchmark shows LLMs reach 68.3-93% accuracy propagating local revisions across conversationally generated artifacts, with parallel-sample selection most cost-effective.
The paper introduces a benchmark for revision propagation: when users request a local change, LLMs must identify dependencies and update all affected parts of an artifact generated through conversation, where context lives in the chat history. Nine revision methods, including sequential reflection and parallel sampling variants, were evaluated on gpt-oss-20b/120b, gpt-5.4-mini, and qwen3.5-9b/27b/122b. Baselines scored 68.3-93% accuracy, and selecting among three parallel samples via LLM-based or medoid selection improved accuracy by 2.2-9.7% as the most cost-effective test-time compute strategy. Code and dataset are released.
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Next.js Patches Critical AVIF and Windows Flaws Enabling Unauthenticated RCE
Vercel patches two critical Next.js unauthenticated RCE flaws: a libheif AVIF heap overflow (CVSS 9.5) and a Windows path traversal (CVE-2026-75604).
Vercel patched two critical Next.js flaws enabling unauthenticated remote code execution: a heap buffer overflow in libheif's AVIF image scaling (GHSA-2xp9-vwfh-vxw4, CVSS v4 9.5) and a Windows path traversal (CVE-2026-75604, CVSS 9.0). The AVIF flaw affects only sites explicitly enabling AVIF optimization and overwrites roughly 16,384 bytes past the buffer; the path traversal affects Windows-hosted Next.js deployments on versions 13.4-15.5.23 and 16.0-16.3.2. Fixes shipped in Next.js 15.5.24 and 16.3.3 on August 25, 2026, with the AVIF researchers releasing a Python PoC demonstrating RCE on multiple applications. No exploitation had been reported as of August 27, 2026.
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Broadcom Patches Critical VMware Workstation and Fusion VM
Broadcom patched critical VMware Workstation and Fusion VM-escape flaws CVE-2026-59346 (CVSS 9.3) and CVE-2026-59347 (CVSS 8.1); update to 26H1u1.
Advisory VMSA-2026-0007 fixes CVE-2026-59346 (CVSS 9.3), an integer overflow in the VMXNET3 virtual network adapter, and CVE-2026-59347 (CVSS 8.1), a stack-based buffer overflow in HGFS. A malicious actor with local administrative privileges inside a VM could execute code on the host in both cases. The flaws affect Workstation and Fusion 25H2 and 26H1 and are fixed in version 26H1u1 with no workarounds available. The bugs were reported independently by researchers working with Trend Micro Zero Day Initiative and by Tencent Xuanwu Lab.
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F5 speeds up virtual patching to counter AI-driven threats
F5 added anomaly detection and agentic threat intelligence to its AI-powered WAF, enabling virtual patch enforcement against exploits within minutes.
F5 announced enhancements to F5 WAF for Distributed Cloud, adding anomaly detection that builds per-application traffic baselines and agentic threat intelligence built on technology from the Fletch acquisition. The AI-powered WAF scores each request in real time with a neural network risk engine, and internal testing claims 98% threat detection efficacy with false positives reduced to 1%. Automated virtual patching via Distributed Cloud Web App Scanning extends to F5 WAF for BIG-IP, letting teams block actively exploited vulnerabilities at the request level in minutes; agentic features are rolling out over coming months.
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The History Is the Detector: Executing CVE Patch History, End-to-End
BUGSTONE-E2E converts CVE patch history into executable LLM-guided detection rules, yielding 1,033 rules and 644 runtime-verified findings across 14 programs.
The BUGSTONE-E2E framework mines reusable detection rules from verified fixing commits, organized by CWE and language, and applies them through a funnel pipeline that escalates from Tree-sitter anchors and lightweight heuristics to LLM-based agent inspection, runtime verification, and scope-checked patch generation. Built from 19,325 high-severity CVEs published 2022-2026, it produced 1,033 detection rules spanning 56 CWE families, packaged into 172 skills. Applied across 14 programs, it generated runtime evidence for 644 findings, demonstrating that vulnerability history can drive reproducible detection and repair.
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PaperCut Replaces Emergency Patches With Fixes for Two Actively Exploited Flaws
PaperCut shipped maintenance releases replacing emergency patches for two actively exploited flaws abused in AI-assisted attacks on 395 organizations.
PaperCut released PaperCut NG/MF versions 26.0.5, 25.0.13 and 24.1.10, superseding Emergency Patch Releases 1-3 for CVE-2026-81578 and CVE-2026-82078, which enable authentication bypass and arbitrary code execution on susceptible instances. GreyNoise and Blackpoint Cyber reported a suspected Russian-speaking actor weaponizing both flaws against at least 395 organizations in 48 countries, concentrated in the U.S. education sector. The campaign used hundreds of AI agents powered by OpenAI's Codex harness and a DeepSeek model, originating from IP 45.142.193.132, and avoided organizations in Russia, China, Hong Kong, Thailand and Iran.
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Microsoft’s Patching
Microsoft's September Patch Tuesday fixes a record 972 vulnerabilities, 112 rated critical, amid AI-accelerated vulnerability discovery.
Microsoft's September 2026 Patch Tuesday patches a record ~972 vulnerabilities, 112 rated critical, following records of 570 two months ago and ~620 last month. Schneier attributes the surge to AI-powered vulnerability finding, citing an open letter from OpenAI, Anthropic, AWS, Google, Microsoft and roughly 100 organizations warning of an AI-enabled attack tsunami. He predicts AIs will reverse-engineer exploits from patches, weaponizing flaws immediately upon release and shrinking the patch window to 'immediately.'
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CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs
CoVeR, a training-free coverage-based token pruner, preserves 93.5% of VLM 3D-reasoning performance using only about 8% of visual tokens.
Researchers introduce CoVeR, a deterministic, training-free selector that chooses visual tokens to cover every region of a multi-view 3D scene using only token coordinates. Unlike learned-importance and voxelization pruners, it enforces an exact per-scene token budget, avoids saturation plateaus, and prevents near-duplicate selections. Experiments across four vision-language models show it surpasses prior state of the art by 3.9 percentage points on average across three 3D reasoning benchmarks.
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When Models Edit Too Much: On the Fidelity of Minimal Code Edits
A 400-task BigCodeBench evaluation shows frontier LLMs widely over-edit code; a preservation instruction cuts excess edits and raises Pass@1 by 2.3 points.
Researchers built an evaluation framework from 400 BigCodeBench problems with injected AST-level corruptions, each with a known minimal patch, to measure over-editing in LLM code repair. Even strong models like GPT-5.5 produce unnecessarily large edits despite high Pass@1. Adding a preservation instruction reduced average excess Levenshtein distance from 0.195 to 0.131, cut added cognitive complexity by 26.6%, and raised Pass@1 by 2.3 points. Reinforcement learning post-training gave the best out-of-domain edit-fidelity trade-off, while supervised fine-tuning overfit to seen corruption patterns.
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What Breaks Under Pruning in Smart Homes, and When? Evaluating LLM Degradation Across Architectures and Task Complexity
Pruning study across four LLM architectures finds dense models degrade sharply on smart-home tool calling while MoE models tolerate far more.
Researchers systematically study pruning-induced degradation in smart-home tool calling across four LLMs spanning dense Transformer, dense hybrid, and mixture-of-experts architectures, combining depth, width, hybrid, and expert pruning methods, and evaluate over 19,500 instances from three datasets after post-pruning supervised fine-tuning. Dense models show narrow safe pruning regions followed by sharp degradation, while MoE models tolerate substantially more pruning. Pruning degrades grounded specificity (operation, device, argument, value) before schema-level intent, and aggressive dense pruning can induce systematic over-refusal.
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12 Best Patch Management Software Compared (2026): Features & Pricing
GBHackers ranks NinjaOne, ManageEngine, and Automox atop twelve patch management tools for 2026, emphasizing third-party application coverage.
GBHackers scored twelve patch management platforms on coverage, automation, visibility, deployment, and value, with NinjaOne ranked highest at 4.55. Action1 is highlighted for its genuinely usable free tier, ManageEngine for third-party catalog breadth, and Automox for cloud-native cross-OS automation. The piece notes that unpatched known vulnerabilities remain a top initial-access vector, citing CISA's Known Exploited Vulnerabilities catalog.
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Researcher Drops New Microsoft Defender PoC Showing ShieldBreak Patch Can Be Bypassed
Researcher Chaotic Eclipse released a PoC showing CVE-2026-69414's patch is bypassable, allowing arbitrary file reads as SYSTEM on current Windows.
The researcher known as Chaotic Eclipse published a proof-of-concept for a zero-day in Microsoft Defender, dubbed ShieldCrash, assessed as a patch bypass for ShieldBreak (CVE-2026-69414, CVSS 7.8). The PoC demonstrates an arbitrary file read as SYSTEM with the latest Windows installed, and all supported desktop versions are said to be impacted. Microsoft patched the original issue in Microsoft Malware Protection Engine 1.1.26080.3, which updates automatically. The same researcher recently released PoCs for flaws in CrowdStrike Falcon Sensor, Kaspersky, Avast Antivirus and NVIDIA.
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Oracle Patches 800+ Vulnerabilities in September 2026 Security Update
Oracle's September 2026 Critical Patch Update fixes 800+ vulnerabilities, including over 100 critical flaws and 240+ remotely exploitable without authentication.
Oracle released 673 new security patches in its September 2026 Critical Security Patch Update, resolving 672 unique CVEs across 17 risk matrices plus 130+ additional CVEs. More than 100 flaws are critical severity and over 240 are remotely exploitable without authentication. Oracle E-Business Suite received the largest batch with 159 patches, followed by Fusion Middleware (153, including 78 unauthenticated remote flaws) and Hyperion (102). Oracle reports no exploitation of these specific flaws but warns attackers routinely exploit unpatched Oracle products.
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Modified ScreenConnect Clients Used in Worm-Like Campaign
Huntress warns of worm-like attacks using modified ScreenConnect clients to spread VBScript payloads; ConnectWise issued an advisory.
Campaigns starting in late August use social engineering, including Quick Assist abuse, to install rogue ScreenConnect clients that spawn wscript.exe and deploy four VBScript files for reconnaissance, staging, and PowerShell execution. The attackers persist via User Run Keys, attempt UAC bypass, install UltraViewer, and propagate the VBScript chain to other connected ScreenConnect endpoints. ConnectWise published an advisory about a file transfer behavior issue affecting cloud and on-premises ScreenConnect, with a CVE identifier and fix expected within a week; it recommends disabling file transfer meanwhile.
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Adversarial Testing of Automated Program Repair Agents for Security Vulnerabilities
SWEADV benchmark shows adversarial issue descriptions make LLM program-repair agents write insecure fixes in 51.7% of cases, evading most detection tools.
Researchers built SWEADV, a benchmark of 750 adversarial issue descriptions derived from 150 SWE-bench Verified repair tasks, covering command execution, deserialization, path traversal, denial of service, and weak hashing attack types. Tested on mini_swe agents backed by GPT-5-Mini, MiniMax-M2.5, and DeepSeek-R, adversarial descriptions induced malicious behavior with successful repair in 51.7% of cases. Detection was weak: LLM-as-judge pre-repair screening reached only 62.3% accuracy, and post-repair detection via static analysis and LLM-as-judge achieved just 39.4% and 55.4%.
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Vulnerability & Patch Roundup — August 2026
Sucuri's monthly roundup compiles August 2026 security patches for the WordPress ecosystem to help site owners prioritize updates against automated exploitation.
Sucuri published its August 2026 Vulnerability & Patch Roundup summarizing essential security updates across the WordPress ecosystem. The post notes that most breaches the company observes begin with automated attacks exploiting previously disclosed vulnerabilities. It urges website operators to apply the listed plugin and theme patches promptly to avoid compromise and costly remediation. No specific CVE identifiers are named in the announcement.
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Mythos has made 2026 patching hell. It might make 2027 a breeze
Gartner analyst Craig Lawson argues AI bug-hunters like Anthropic's Mythos have audited major codebases so thoroughly that 2027 could see fewer severe vulnerabilities.
Speaking at Gartner's IT Symposium in Australia, research VP Craig Lawson said AI-driven bug hunting, exemplified by Anthropic's Mythos, is uncovering flaws at unprecedented scale, citing Microsoft shipping over 970 patches in one week and a recent series of CVEs in historically secure OpenBSD. He argued vendors are also using AI to find bugs before release, retiring technical debt and shrinking future zero-day avenues. Lawson predicts 2027 may be the first year with a net drop in vulnerability severity, if not aggregate counts. He also expects AI to enable near-continuous red-teaming and faster fixes, such as generating F5 iRule syntax for virtual patches via Gemini.
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Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability
A controlled study finds agent memory portability varies sharply: fixed-schema knowledge graphs survive model swaps while compressed notes degrade.
The study compares preserving an agent's history as raw long context, RAG chunks, compressed natural-language notes, or fixed-schema knowledge graphs across model upgrades, using 48 synthetic histories and two open-weight sub-10B-parameter models. Fixed-schema KG accuracy changed by only +0.0004 ± 0.0020 after a writer swap, while compressed NOTES shifted asymmetrically by +9.91 or -13.28 percentage points depending on migration direction. Mixed 50/50 embedding migrations captured only 4.96 of an 11.90-point RAG re-embedding gain; 80% of the NOTES deficit came from information lost at construction, and 81% of the RAG deficit from retrieval failures. Store-only repair of NOTES failed to reach 90% recovery in all 48 cases, while retaining raw histories enabled recovery in 34 of 48 for one direction.
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Diffs vs. Whole Files: An Empirical Comparison of Iterative Edit-Based and Direct Generation for Flutter/Dart Code Models
Empirical study finds direct whole-file generation beats iterative diff-based editing for Flutter/Dart code models on about 1,790 held-out tasks.
Researchers trained Rainbow-Pony-100M from scratch and fine-tuned Qwen2.5-Coder-0.5B in both direct-generation and diff-based regimes, then evaluated four resulting models on roughly 1,790 Flutter/Dart tasks. Direct generation outperformed diff-based generation on compilation pass rate, bits-per-byte, character-level similarity, and blinded LLM-judge ratings. Diff-based editing is competitive only on short, localized edits in refactoring and error-handling tasks, a property the authors call task locality.
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Oracle Critical Patch Update, August 2026 Security Update Review
Oracle's August 2026 Critical Patch Update fixes 943 vulnerabilities; Oracle Fusion Middleware and Hyperion received the most patches at 262.
Oracle released its August 2026 Critical Patch Update, addressing 943 security vulnerabilities across multiple product families, including third-party components bundled in Oracle products. Oracle Fusion Middleware and Oracle Hyperion received the highest number of fixes with 262 patches. Several of the addressed vulnerabilities impact more than one product.
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Senior engineers are spending their week cleaning up AI-generated code
New Relic study finds AI-generated code doubles critical runtime issues, with senior engineers losing a third of their week to fixes.
A New Relic survey of U.S. technology leaders reports AI now writes the majority of shipped code, with senior SRE and DevOps engineers spending up to a third of their week triaging and refactoring it. A large majority of organizations had at least one AI-related production failure in the past six months, and roughly three in ten saw newly introduced security vulnerabilities. AI-generated code showed nearly twice as many critical runtime issues as peer-reviewed human-authored code, with gaps concentrated in edge cases, concurrency, deprecated APIs, and complex state changes. Most teams now prompt AI tools to embed logs and traces directly into generated code.
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Learning 3D Editing without Paired Supervision via Generative Prior Distillation
New framework distills 2D editing and VLM priors into a feed-forward 3D editing model without paired 3D training data.
The method, PriorEdit3D, learns feed-forward instruction-guided 3D editing by distilling knowledge from foundation models instead of using ground-truth 3D pairs. Through a differentiable rendering pipeline it supervises a 2D visual prior from an image editing model at the main view and a Vision-Language Model semantic prior at novel views for instruction fidelity and identity preservation. A 3D-aware Distribution Matching regularization constrains outputs to the manifold of realistic 3D assets defined by a pretrained image-to-3D teacher. Experiments report superior instruction fidelity and cross-view consistency over state-of-the-art baselines, with code released on GitHub.
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Hierarchical NeRF with JAX3D for Volumetric Rendering, Novel-View Synthesis, and 3D Reconstruction
MarkTechPost tutorial implements a hierarchical NeRF in JAX using jax3d volume-rendering primitives for novel-view synthesis and 3D reconstruction.
The tutorial builds an end-to-end hierarchical Neural Radiance Field using JAX, Flax, Optax, and jax3d's volume-rendering functions (sample_along_rays, volume_rendering, sample_piecewise_constant_pdf). It implements positional encoding, skip connections, separate coarse and fine networks, and view-direction conditioning with hierarchical importance sampling. Training uses JAX JIT compilation, Adam optimization, exponential learning-rate decay, and gradient clipping. Evaluation covers PSNR, depth and opacity visualization, 360-degree rendering, and marching-cubes geometry extraction.
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ConnectWise Patches ScreenConnect Vulnerability Exploited in Worm-Like Attacks
ConnectWise patched critical ScreenConnect flaw CVE-2026-84869 (CVSS 9.9) exploited since August 20 in worm-like attacks; CISA added it to KEV.
ConnectWise released urgent patches for CVE-2026-84869 (CVSS 9.9), a missing authorization and improper privilege management flaw in ScreenConnect allowing file transfer and execution through active remote sessions without host confirmation. Huntress reported in-the-wild exploitation since August 20, with attackers using rogue ScreenConnect clients to push four VBScript files for persistence and worm-like propagation to other ScreenConnect clients. The flaw is fixed in ScreenConnect 26.6.5, with disabling the TransferFiles permission as a temporary mitigation. CISA added the CVE to its KEV catalog, requiring federal agencies to patch within three days under BOD 26-04.
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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.
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From Hypervisor to Container: Cloud Security Vulnerabilities, Defense Mechanisms, and Open Challenges
Survey of 120+ cloud security papers (2008-2025) reviews hypervisor and container isolation attacks, scoring defenses with the ADPO framework and CIA impact scale.
This survey reviews over 120 security publications from 2008 to 2025 on breaches of cloud isolation boundaries via virtual machines and containers. Threats examined include VM escape, VM hopping, CPU cache side-channels, container breakouts, vulnerable container images, and DDoS attacks. The authors introduce ADPO, a 0-3 scoring framework rating defenses on accuracy, deployment ease, performance impact, and operational overhead, plus a 1-5 CIA severity mapping for attack impact.
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