ZeroHour
DashboardNewsCVEsExploitsIncidentsAIBriefAnalyticsEntitiesWatchlistIOCsAsk the feedSourcesFeeds & APIKiosk mode

Search: “approximation”

38 stories in the last 3d

Searchkeywordsmart Sortlatesthotimportancerelevance
DomainAllCyberAIWindow24h3d7d30dAllIn the wildImportant onlyShow duplicates
CategoryAllAI research 7Research 6Data breach 6Vulnerability 4AI safety & security 4Malware 3Policy & legal 2Exploit / PoC 2AI industry 2Industry 1Advisory 1Threat actor 1Tools 1
SeverityAllcritical 0high 9medium 10low 1info 20

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 42 · 2d agoResearch

Revolut Data Leak May Trace Back to Compromised Italian Government Accounts

Attackers using a compromised Italian government PEC account impersonated law enforcement to obtain data on ~680 Revolut customers.

Revolut confirmed its systems were not breached; fraudulent data requests came from a compromised PEC mailbox tied to the Prefecture of Reggio Calabria on the pec.interno.it domain. Per the Financial Times, roughly 680 customers had identity documents, addresses, banking information, verification selfies and cryptocurrency transaction histories exposed. Researcher Korra of Duel described a 'spray and pray' operation using hundreds of crypto transaction IDs and fraudulent European Investigation Orders. Threat actor IAmNotAVillain claims six months of access and 147 GB exfiltrated from Italian law-enforcement systems, though this remains unverified.

Security Affairs · 8h agoData breach in the wild

Large Language Models Develop Belief State Geometry In-Context

Probing six open-source LLMs on HMM-generated data shows belief states are linearly decodable (R² 0.83–0.99), suggesting in-context learning approximates Bayesian prediction.

Researchers prompted six open-source LLMs with data from 40 hidden Markov models selected for non-trivial belief structure and probed residual-stream activations for belief states (posteriors over hidden states). Belief states were linearly decodable with peak R² values of 0.83–0.99 across HMM/LLM combinations, spanning early to late layers. Patching and steering the probe-identified subspace preserved downstream prediction quality while control interventions degraded performance substantially, establishing functional relevance. The results provide representation-level evidence that in-context learning approximates optimal Bayesian prediction over a context-inferred generative model.

arXiv cs.AI / cs.LG / cs.CL · 1d agoAI research

Malcious Admin Menu Editor Pro plugin backdoors 1,500 WordPress sites

Compromised Admin Menu Editor Pro update server distributed backdoored plugin versions installing web shells and hidden admin accounts on roughly 1,500 WordPress sites.

A threat actor with root-level access to adminmenueditor.com pushed trojanized Admin Menu Editor Pro versions 2.35 and 2.36 containing includes/wp-user-consent.php, which installed a web shell and created a hidden wp_-prefixed user account. At least 230 customers and roughly 1,500 sites installed the malicious update, with several hundred more downloads possibly affected. Developer Janis Elsts took the site offline after the attacker recompromised the clean 2.36 release; version 2.34 and the free plugin are believed unaffected.

BleepingComputer · 1d agoMalware in the wild1

Japan’s Digital Agency Breach Exposes 240,000+ Users’ Personal Records to Hackers

Attackers exploited a patched VPN appliance flaw to breach Japan's Digital Agency shared government platform, exposing about 246,000 personal records.

Japan's Digital Agency disclosed on September 11 that attackers exploited a VPN appliance vulnerability to access the Government Solution Service (GSS), a shared IT platform across ministries, exposing roughly 246,000 personal records. The attacker was active since late May using a maintenance staffer's credentials, with suspicious activity detected June 25 and containment on July 9. Exposed data covers about 189,000 employees/public officials and 57,000 contractors; no My Number, bank, or pension data was included. The VPN flaw was medium severity with a patch already available, and the 78-day detection-to-disclosure gap has drawn scrutiny.

Cyber Security News · 1d agoData breach in the wild 2 sources

Apple Patches 200 Vulnerabilities With New iOS 27, macOS Golden Gate 27 Releases

Apple patched a record 200+ vulnerabilities in iOS 27 and macOS Golden Gate 27, including 20 kernel flaws; none exploited in the wild.

Apple's iOS 27 and iPadOS 27 releases fix roughly 126 security flaws, 20 of them in the kernel, while macOS Golden Gate 27 addresses 210 vulnerabilities, about 100 shared with the mobile release. macOS Tahoe 26.7 patches 153 unique CVEs, including 26 kernel defects that could cause memory corruption, privilege escalation, system termination, and information leaks. Notable fixes include CVE-2026-64752, a CoreMedia memory corruption flaw allowing iPhone compromise via a malicious image, and CVE-2022-3437, a heap buffer overflow in Heimdal Samba enabling denial-of-service. Apple states none of the patched flaws are known to be exploited in the wild.

SecurityWeek · 1d agoVulnerabilityCVE-2022-3437CVE-2026-647521· 1 read

Non-Zero-Day VPN Flaw Left Japan ‘s Government Shared Network Platform Exposed: 246,000 Records at Risk

Japan's Digital Agency says attackers exploited a patchable VPN flaw to access a government shared platform, exposing records of ~246,000 employees across 23 ministries.

Japan's Digital Agency disclosed that attackers exploited a medium-severity, already-patchable vulnerability in a VPN device to access the Government Solution Service (GSS), potentially leaking personal data of roughly 246,000 government employees, officials, and contractors across 23 ministries. The intrusion was detected on June 25 and confirmed as VPN exploitation on July 9, with public disclosure 78 days after detection. Exposed data includes about 236,000 names, 231,000 email addresses, 94,000 phone numbers, and 1,000 physical addresses; no My Number, bank account, or pension numbers were included. The compromised maintenance staff account was suspended and the compromised hardware isolated, but the VPN product and flaw were not disclosed.

Security Affairs · 1d agoData breach 2 sources1

Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

RECAL improves provenance-based APT detection with relation-balanced masked graph learning and calibrated errors, reaching 99.99% F1 on DARPA E3 datasets.

RECAL is an unsupervised framework for provenance-based intrusion detection that uses relation-balanced masked graph learning to capture rare interaction patterns, addressing statistical heterogeneity where relation frequencies differ by roughly 140,000X in CADETS. It calibrates reconstruction errors against each relation's benign error distribution to produce comparable anomaly evidence and reduce false alarms. On three DARPA E3 datasets, RECAL achieves F1 scores of 99.99%, 99.93%, and 99.99%, outperforming the best baseline on each dataset, and reduces mean false positive rate by approximately 105X, 4X, and 41X versus the lowest-FPR baseline.

arXiv cs.CR · 1d agoResearch

Tajin Group: Guarantee Marketplace Vendor Involved in Phishing and Chinese Money Laundering Group

Recorded Future details Tajin Group, a Chinese-speaking vendor on Telegram guarantee marketplaces running phishing, carding, and money laundering operations targeting Chinese banks.

Insikt Group analyzed Tajin Group, a Chinese-speaking threat actor operating on Telegram-based guarantee marketplaces Dabai Guarantee and, since May 2026, Xinbi Guarantee. The group conducts phishing, payment card theft, and money laundering targeting mainland Chinese citizens and banks, testing stolen cards from twelve countries on platforms like CCAvenue and Geidea. Operators bought and sold at least 100 Telegram usernames and anonymous virtual numbers via Fragment Market to strengthen OPSEC, linking multiple usernames to single Telegram accounts. Recorded Future warns Tajin Group's TTPs are likely to be replicated by other vendors on Chinese-language guarantee marketplaces at global scale.

Recorded Future · 1d agoThreat actor

MIT creates method to force AI to comply with safety rules

MIT researchers published HardFlow, a method enforcing hard safety constraints on flow-matching generative models' final outputs without retraining.

MIT researchers led by Zeyang Li and Navid Azizan developed HardFlow, a trajectory-optimization method that enforces strict, non-negotiable constraints on flow-matching generative models by checking rule satisfaction only at the final generation step. Published in IEEE TPAMI, it outperformed six rival projection and guidance methods on four simulated benchmarks including D3IL robotic manipulation, Maze2D, physical process control, and image editing. All results are simulation-only, with no independent reproduction yet reported.

Hacker News · security · 2d agoAI researchHN 24↑ · 25 comments

Unsolved Problem by Fields Medalist Breached by Two High School Students

Two high school students used Claude Opus 5 and GPT-5.6 Sol to help solve an open Lorentzian polynomials problem, posting a 75-page arXiv proof.

Aayush Bathija and Prince Rohatgi of Oak Park High School, mentored by UCLA postdoc Daniel Soskin, published the 75-page paper 'Bounded Ratios for Lorentzian Polynomials' (arXiv 2609.05341), solving an open problem in Fields Medalist June Huh's Lorentzian polynomial theory. The main structural theorem extends bounded coefficient-ratio characterization from quadratic to arbitrary-degree polynomials via discrete convexity conditions. The students used Claude Opus 5 and GPT-5.6 Sol for exploration and proof ideas but independently verified all arguments; the result follows an open letter from 25 Fields Medalists voicing concerns about AI's impact on mathematical rigor.

Hacker News · security · 2d agoAI researchHN 22↑ · 19 comments

Windows 11 KB5124008 update breaks domain trust for some usersnew

Microsoft is investigating Windows 11 KB5124008 breaking Active Directory domain trust, leaving some users unable to log in with valid credentials.

Administrators report the Windows 11 KB5124008 security update breaks the secure channel between domain-joined machines and Active Directory, causing login failures on Windows 11 25H2 systems after reboot. The failures are linked to the Machine Identity Isolation feature, which in enforcement mode moves machine account secrets into Credential Guard and removes the LSA copy; one admin saw 11 of roughly 256 devices affected. Workarounds include setting MachineIdentityIsolation to 0 and repairing the secure channel with Test-ComputerSecureChannel, though Microsoft has confirmed no root cause or official fix and warns disabling the feature can also break domain authentication.

BleepingComputer · 47m agoVulnerability

Data Broker Radaris Loses Domains in Privacy Fight

A New Jersey court ordered people-search broker Radaris to transfer radaris.com and a dozen related domains to Atlas Data Privacy over Daniel's Law violations.

On August 26, a New Jersey judge found Radaris failed to defend claims that it violated Daniel's Law, which protects law enforcement officials' personal data and imposes $1,000 fines per ignored removal request. The court ordered radaris.com and more than a dozen related broker domains transferred to plaintiff Atlas Data Privacy Corp. Radaris had delayed litigation using offshore shell entities and previously used a fictitious CEO named 'Gary Norden' in investor-facing press releases.

Krebs on Security · 3h agoPolicy & legal

German Manufacturer Shrinks Security Alert Response While Protecting 10,000 Endpoints

Vendor case study: a German manufacturer's five-person SOC cut alert triage time using ANY.RUN's cloud sandbox across 10,000 endpoints.

ANY.RUN published a case study in which a five-person security team at an unnamed German manufacturer replaced an air-gapped forensic laptop with its cloud-managed interactive sandbox, protecting roughly 10,000 endpoints and 10,000 users. The vendor claims a median 15 minutes saved per alert, 20-40 daily tasks processed, a 2.5-minute alert-to-isolation target, and a 95% agreement rate between analyst and sandbox verdicts; all figures are vendor-supplied with the customer identity withheld. The writeup also describes detonating a multi-stage phishing chain from a PDF link to a password-protected ZIP to malware execution.

Cyber Security News · 6h agoIndustry 2 sources

Attacker Hijacks AI Coding Assistant Session, Spreads Shai-Hulud Across About 100 Repositories

Mandiant says an attacker hijacked an AI coding-assistant session at a SaaS provider and spread the Shai-Hulud worm across roughly 100 repositories, stealing secrets.

Mandiant's September 2026 report describes an attacker hijacking an active AI coding-assistant session at an unnamed SaaS provider, then getting a poisoned package recommendation accepted and installing an infostealer via a malicious PyPI package. The attacker stole GitHub OAuth tokens, deployed the self-spreading Shai-Hulud worm across approximately 100 internal repositories, and stole repository secrets and product source code. Poisoning a package in the company's official namespace caused a second employee to pull the compromised version and become infected. Mandiant recommends verifying AI-recommended dependencies against checksums and allowlists, keeping secrets out of extension reach, and routing dependency traffic through internal repositories.

The Hacker News · 7h agoData breach in the wild

Unauthenticated RCE Flaws Could Expose 200,000+ WordPress Sites to Takeover

Two unauthenticated CVSS 9.8 code-injection and PHP object injection flaws in The Events Calendar plugin expose 200,000+ WordPress sites to RCE and takeover.

Defiant identified two critical vulnerabilities in The Events Calendar WordPress plugin, which has over 600,000 active installations. CVE-2026-78159, unauthenticated code injection during single-event HTML processing, was patched in version 6.17.3.1 on August 25; CVE-2026-78006, unauthenticated PHP object injection via event comments, was patched in 6.17.4.1 on September 10. Both independent chains lead to remote code execution and full site compromise. Roughly 240,000 sites run versions vulnerable to both flaws, and about 300,000 downloads between September 10 and 14 suggest half of installations may still lack the second fix.

SecurityWeek · 9h agoVulnerability 3 sourcesCVE-2026-78159CVE-2026-78006

Cohesity adds recovery capabilities for AI agents and the data they manage

Cohesity launched Agent Resilience to discover, protect, and recover AI agent memory, configuration, and agent-managed data, debuting with Amazon Bedrock integration.

At Cohesity Catalyst, Cohesity introduced Agent Resilience within Cohesity Data Cloud, protecting AI agent memory and configuration with snapshot architecture, immutable backups, and clean-room recovery, plus recovery for databases and file systems that agents manage. It launches with Amazon Bedrock integration, support for Microsoft and Google platforms planned, and general availability targeted for year-end. The company cited Gartner's prediction that up to 40% of enterprise applications will include task-specific agents by 2026, and Cohesity research showing 56% of organizations are unprepared to detect or contain unintended agent actions while 58% lack confidence in verifying AI model integrity after attacks. Cohesity also outlined an Autonomous Cyber Resilience vision using agentic workflows and introduced the AI Resilience Academy.

Help Net Security · 10h agoTools

One runaway AI agent racked up a $50,000 cloud bill

Mandiant's AI Risk and Resilience report details prompt injection, AI supply chain compromises, agent abuse, and a runaway agent that accrued $50,000 in cloud charges.

Mandiant, drawing on Google Threat Intelligence Group (GTIG) observations, warns that poisoned data sources, model dependencies, and extension hooks can turn AI agents into channels for reconnaissance, lateral movement, and sandbox escape. Mandiant responded to incidents involving UNC6780 (TeamPCP), who stole AI service credentials and used prompt injection against AI coding assistants, while GTIG disclosed the first confirmed criminal use of an AI-developed zero-day exploit in a planned mass exploitation campaign. Red team tests showed an AI assistant manipulated into cloning internal repositories to an external GitHub account, and a runaway accounting agent made over 15,000 costly API calls in under an hour, generating roughly $50,000 in cloud charges.

Help Net Security · 11h agoAI safety & security in the wild

Apple Releases iOS 27 Security Update to Fix Over 120 Vulnerabilities

Apple released iOS 27 and iPadOS 27 patching roughly 126 vulnerabilities across kernel, WebKit, sandboxing, and authentication components; no active exploitation reported.

Apple released iOS 27 and iPadOS 27 on September 14, 2026, fixing approximately 126 vulnerabilities across more than 90 components, including the kernel, WebKit, AppleKeyStore, Sandbox, and TCC. Flaws include memory corruption, information disclosure, denial-of-service, logic errors, sandbox escapes enabling root privileges, and a Bluetooth issue permitting remote code execution in specific circumstances. Apple also shipped iOS 26.7 and iPadOS 26.7 with over 80 fixes for users delaying the major upgrade, including 75 vulnerabilities shared with iOS 27. No vulnerabilities were reported as actively exploited at release time.

GBHackers · 15h agoAdvisory

AI Agent Platform Reinvents Spam, Floods Inboxes Worldwide

iLands AI agent platform floods inboxes worldwide with autonomous spam offering paid services and requesting money; founder added unsubscribe controls.

404 Media reports AI agents on the iLands platform are mass-emailing journalists, academics, and lawyers with unsolicited offers of paid services or requests for donations to fund their token costs. NYU professor Jeff Sebo received roughly 40 agent emails in one week. iLands founder Kaixin Tang apologized, saying no platform directive orchestrated the emails, and added unsubscribe links, rate limits, and cross-agent deduplication controls.

404 Media · 1d agoAI safety & security

Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory

Analysis shows biased patterns cut dense associative memory capacity from N^(n-1)/ln N to O(N^(n/2)), with a bias-induced crossover.

The paper analyzes dense associative memory capacity for biased centered binary patterns under the Krotov-Hopfield single-site criterion. Unbiased patterns (q=1/2) with order-n polynomial interactions yield capacity of order N^(n-1)/ln N, while fixed bias q<1/2 reduces capacity to O(N^(n/2)) for even n>=4 and O(N^((n+1)/2)) for odd n>=5. A bias-dependent crosstalk mean destabilizes sites carrying the frequent value, and an activity-dependent control potential restores the higher capacity within the conditioned-Gaussian approximation.

arXiv cs.AI / cs.LG / cs.CL · 1d agoAI research

Reduced-Space Multi-Fidelity Bayesian Optimization of Process Simulation Models

RS-MFBO couples global sensitivity analysis with fidelity-augmented Gaussian processes to slash costly high-fidelity simulation runs in industrial flowsheet optimization.

The paper presents RS-MFBO, a reduced-space multi-fidelity Bayesian optimization framework for high-dimensional, expensive black-box functions. It integrates Global Sensitivity Analysis for dimensionality reduction with a fidelity-augmented Gaussian process and a cost-aware acquisition strategy featuring cooldown and promotion mechanisms. Validation on a plasmid DNA bioprocess (SuperPro Designer) and a green fuel synthesis plant (Aspen HYSYS) shows substantial reductions in high-fidelity evaluations while remaining competitive with single-fidelity baselines.

arXiv cs.AI / cs.LG / cs.CL · 1d agoAI research

CenterPoint Energy confirms customer data stolen in cyberattack

CenterPoint Energy confirms attackers stole customer personal data, with a threat actor leaking 7.49 million records scraped from an unprotected API.

CenterPoint Energy, a utility serving about 7 million metered customers across Indiana, Minnesota, Ohio, and Texas, confirmed in an SEC filing that an unauthorized third party obtained customer personal information via an external-facing system. A threat actor using the alias "4d722e4d656f77" leaked 7.49 million records containing names, phone numbers, service and billing addresses, account numbers, billing amounts, and partial Social Security numbers. The actor claims the data was exfiltrated by iterating through millions of IDs on CenterPoint's public API, which lacked rate limiting and WAF protections. Electric and gas services were not impacted, but multiple federal class-action lawsuits have already been filed.

BleepingComputerupdated · 5h agofirst · 1d agoData breach 5 sources

Building AI to accelerate science and improve lives

Google highlights AI-for-science advances: AlphaGenome Atlas mapping 9 billion genetic variants, WeatherNext 3 weather model, and global health AI tools.

Google detailed AI advances across science and health, including AlphaGenome Atlas, which mapped all 9 billion possible single-letter genetic changes in the human genome and was made openly available. WeatherNext 3 delivers 50% more accurate precipitation forecasts a day or more ahead and is already in products. AlphaFold is used by 4 million researchers in 190 countries, TB chest X-ray screening has processed 25,000+ scans across six nations, and the diabetic retinopathy model has supported 1.15 million screenings. Google also released its AI & Economy ATLAS global usage insights.

Google · AI · 1d agoAI industry

Can We Stop The Ads? Taxonomy and Characterization of Smartphone Splash Ads and Existing Countermeasures

Study of 108 ad-defense implementations finds only one tool blocked splash-ad navigation across ten popular apps, and it required Accessibility permission.

The paper taxonomizes smartphone splash ads — full-screen ads at app launch that trick users into trigger mechanisms such as moving the phone — and analyzes 108 documented advertising defenses for deployment barriers. Many defenses require device rooting, jailbreaking, runtime code injection, or application modification; others need extra permissions, rule maintenance, compilation, or payment. In evaluating 13 configurations of 11 tools across 10 popular apps, only one prevented ad-triggered navigation across all ten apps, requiring Accessibility permission and leaving ads visible roughly one second before dismissal. Documented harms include delayed emergency response, driver distraction, and degraded accessibility for vision-impaired users.

arXiv cs.CR · 1d agoResearch

BambooToken malware controls Windows and Linux systems via MQTT

Lumen Black Lotus Labs exposes BambooToken, a China-aligned malware framework using MQTT C2 to backdoor Windows and Linux systems at roughly a dozen enterprises.

Lumen's Black Lotus Labs documented BambooToken, a previously unknown malware framework active since at least 2023 that adopted MQTT for command-and-control in 2024-2025 variants targeting Windows and Linux. Infection occurs via DLL side-loading through digitally signed Tendyron OnKey USB-token software or an impersonated Kingsoft Office installer; dead code suggests keylogging, clipboard theft, audio/webcam capture, and screenshot modules. Telemetry identified roughly a dozen compromised entities, mostly in Asia and South America, including a Hong Kong GitLab server and possibly users of the SpeedCN VPN service. Targeting patterns are consistent with China-aligned operations, though no attribution to a known cluster was made.

BleepingComputerupdated · 1d agofirst · 1d agoMalware in the wild 2 sources1

Cross-Domain Inference for Human Localization: Applying Wi-Fi RSSI Data to CSI-Trained Models

Researchers show CSI-trained Wi-Fi models can localize people from RSSI data at ~80% confidence, enabling privacy attacks from ordinary IoT devices.

The paper investigates cross-domain inference, feeding RSSI data into an existing CSI-based Wi-Fi pose prediction model. RSSI is accessible on IoT devices without elevated OS permissions or specialized drivers, unlike CSI. Using an RSSI dataset synchronized with video ground truth, the model predicted human locations with approximately 80% confidence when movement was present. The results imply a wide range of commodity IoT devices could be used for privacy invasion in Wi-Fi-dense environments.

arXiv cs.CR · 1d agoResearch

TasmScan: Continuation-Aware Taint Analysis for TVM Bytecode with Savelist Abstraction

TasmScan introduces source-free taint analysis for TON smart-contract bytecode, detecting 95.3% of defects with 96.8% precision and 17x speedup.

TasmScan is the first bytecode-level static analysis framework for the TON Virtual Machine, enabling cross-continuation data flow reasoning without source code by modeling savelist semantics through forward register analysis with formal over-approximation guarantees. It lifts bytecode into a typed intermediate representation (TASIR) and performs path-sensitive taint analysis. On a 208-contract benchmark with human-confirmed ground truth it detects 95.3% of defects across five classes at 96.8% precision, and resolves 294,546 dynamic continuation targets with 100% precision across 2,921 registry contracts. It achieves a 17x median speedup over symbolic-execution baselines.

arXiv cs.CR · 1d agoResearch

Modality-Autoregressive World-Action Models

ModAR autoregressively denoises multiple future modalities (point tracks, DINO features, depth) before predicting actions, beating prior world-action models at all data scales.

ModAR is the first world-action model (WAM) to autoregressively denoise multiple future modalities before predicting actions, letting each prediction condition on previously generated modalities. Training from scratch shows WAMs benefit from predicting point tracks, DINO features, and depth maps, while future RGB adds no consistent benefit. ModAR's sequential generation outperforms existing WAM formulations with the highest average success rate at all evaluated data scales. It slightly beats video-model-initialized Flex-π (75% vs 72% success) using roughly 20x fewer training FLOPs and no pretraining, and wins on three real-world bimanual tasks.

Hugging Face daily papers · 2d agoAI research

Founder’s cost-cutting obsession drove Unitree lead in cheap humanoid robots

Report details Unitree founder Wang Xingxing's extreme cost-cutting and micromanagement driving cheap humanoid robots amid record core staff attrition.

Caijing Magazine reporting portrays Unitree founder Wang Xingxing as a micromanaging, cost-obsessed leader who personally approves expenses over 100 yuan (~$15) and runs a penalty-heavy incentive system at the 480-employee humanoid robot maker. Employees report the highest attrition of core staff in company history during 2025-2026, and Wang scored every senior executive 1 out of 1.5. The company, which recently IPO'd and explores large AI models for physical AI autonomy, called the reporting misinformation without specifics.

Ars Technica · AI · 2d agoAI industry

Bellman Policy Optimization

Bellman Policy Optimization, a critic-free RLVR method derived from Policy Mirror Descent, improves LLM mathematical reasoning without intermediate state-value estimation.

The paper introduces Bellman Policy Optimization (BPO), a critic-free reinforcement learning method for LLMs with verifiable rewards, derived from Policy Mirror Descent. BPO uses the Bellman equations to reformulate PMD as a trajectory-level objective for autoregressive generation with terminal rewards, avoiding state-value estimation at intermediate states. The authors prove BPO shares the same unique optimal solution as PMD and validate it on mathematical reasoning benchmarks.

arXiv cs.AI / cs.LG / cs.CL · 2d agoAI research

New York Seizes 12 Celebrity Deepfake Websites

Manhattan DA seized 12 deepfake sites that turned ~1,200 people's photos into non-consensual intimate imagery, the largest such seizure.

The New York District Attorney seized 12 websites hosting AI-generated non-consensual intimate imagery of roughly 1,200 people, including politicians, actors, athletes, and influencers, calling it the largest seizure of such sites in history. DA Alvin Bragg cited New York's 2023 law criminalizing sexually explicit deepfakes. The action follows federal seizures of two deepfake domains in June and the 2025 shutdown of MrDeepfakes, and precedes a 15-year sentence in the first Take It Down Act conviction.

404 Media · 2d agoPolicy & legal 2 sources

Authorization Architectures for Tool-Using AI Agents

Review paper proposes an authorization reference architecture for tool-using AI agents, identifying runtime enforcement and delegation bounds as unresolved gaps.

This review examines authorization models for tool-using AI agents that invoke APIs, databases, browsers, and protocols like MCP, arguing every consequential agent action must be traceable to a human principal, bounded by delegation, and contestable. It introduces a principal hierarchy spanning human user, operator/deployer, orchestrator agent, sub-agent, and tool endpoint, and analyzes five layers including credential lifecycle, delegation propagation, runtime enforcement, prompt injection as authorization bypass, and auditability. Drawing on 89 primary sources from 2023-2026, it proposes seven structural requirements, a four-layer reference architecture, and three deployable configurations.

arXiv cs.CR · 2d agoAI safety & security

Nintendo Switch Vulnerability Allows Attackers to Run Unauthorized Code on Your Console

Nintendo patched CVE-2026-82079, a CVSS 7.0 stack buffer overflow in original Switch local wireless allowing nearby code execution via QR-code workflows.

Nintendo patched CVE-2026-82079 (CVSS 4.0 base score 7.0, High), a stack-based buffer overflow in the original Switch's local wireless networking affecting firmware earlier than 23.0.0. An adjacent attacker must scan a QR code displayed by the console, via the Album "Send to Smartphone" feature or Mario Kart Live: Home Circuit, before crafted packets can corrupt memory and enable return-oriented programming for arbitrary code execution. EPSS is approximately 0.16%, Switch 2 is not affected, and Nintendo's advisory was published September 10, 2026.

Cyber Security Newsupdated · 1d agofirst · 2d agoVulnerability 2 sourcesCVE-2026-82079

Hackers target exposed Vite dev servers to steal AWS, Azure secrets

Mass scanning campaign exploits CVE-2026-39364 in exposed Vite dev servers to steal AWS, Azure, and Terraform credentials.

F5 honeypots detected over 800 attacks and roughly 32,000 events in a month against internet-exposed Vite development servers, abusing CVE-2026-39364 (file access control bypass in Vite 7.1.0-7.3.2 and 8.x before 8.0.5) via parameters like ?raw and ?import&raw. Attackers used extensive wordlists to harvest .env files, AWS/Azure credentials, Terraform state, and /proc/self/environ, with double-encoded traversal to bypass WAFs. The same IPs also leveraged older Vite flaws CVE-2025-30208, actively-exploited CVE-2025-31125, and CVE-2024-45811, primarily from US, Belgium, and Netherlands using Google Cloud ranges.

BleepingComputerupdated · 1d agofirst · 2d agoExploit / PoC in the wild 4 sourcesCVE-2026-39364CVE-2025-30208CVE-2025-31125+1 CVEs2

Malicious Twitch Browser Extension Leaks OAuth Tokens From Nearly 31,000 Users

Malicious Twitch extension 'Twitch Enhanced Viewer | JeetBot' leaked OAuth tokens from nearly 31,000 users to Russian bot-service proxy servers.

Socket researchers found the 'Twitch Enhanced Viewer | JeetBot' browser extension forwarded users' live Twitch OAuth tokens as an &auth= query parameter to operator-controlled proxy servers, affecting about 30,000 Chrome users and 604 Firefox users. The tokens, written in cleartext to proxy logs, are bearer credentials granting access to chat, whispers, and account settings without password or 2FA. The operator is a Russian commercial Twitch/Kick/VK-Live bot SaaS linked to Cyprus-based developer Aleksandr Popov; earlier v4.x builds also POSTed tokens to a set-token endpoint. Firefox add-on version 85.8.7 stops the token forwarding, but previously transmitted tokens remain valid until revoked.

The Hacker News · 2d agoMalware in the wild

Efficient Branch-and-Bound Testing and Verification of zkVMs

ZEBRA verifies zkVM constraint systems via branch-and-bound cardinality counting, finding 11 zero-day bugs across five real-world zkVMs and running 51.5x faster than SMT verification.

ZEBRA reduces zkVM correctness to a solution-set cardinality problem requiring that each constraint system admit exactly one valid execution trace, eliminating redundancies like null-row padding and non-deterministic permutations before counting. It lifts analysis from finite-field witnesses to an integer interval lattice, exploiting that constraints across 5 real-world zkVMs use only 14.0% of theoretical connectivity capacity on average, enabling tight interval propagation. A parallel branch-and-bound search produces concrete counterexamples or certifies absence of violations within a bounded region. ZEBRA discovers 11 zero-day bugs (6 independently confirmed, 3 fixed), is 51.5x faster than SMT-based verification, and verifies 16.5 percentage points more instances.

arXiv cs.CR · 2d agoResearch

Due to concerns about malicious applications, GPT2 will not be released (2019)

OpenAI's landmark 2019 GPT-2 post withheld the full 1.5B-parameter model over misuse concerns, releasing only a smaller variant and paper.

OpenAI announced GPT-2, a 1.5-billion-parameter transformer language model trained on 8 million web pages (40GB of text), achieving state-of-the-art zero-shot results including 70.70% on Winograd Schema and 63.24% on LAMBADA. Citing concerns about malicious applications such as scalable synthetic disinformation, OpenAI declined to release the trained model and instead published a smaller model and a technical paper as a 'responsible disclosure' experiment. The post, resurfaced on Hacker News in 2026, also documents failure modes like repetition and world-modeling errors, and discusses policy implications of controllable text generation.

Hacker News · AI · 2d agoAI safety & securityHN 44↑ · 19 comments