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CVE-2026-57822: Apache Artemis, Apache ActiveMQ Artemis: Message-based management parameter deserialization may lead to denial of service

Apache fixed CVE-2026-57822, a deserialization flaw in ActiveMQ Artemis management messaging letting authorized clients trigger broker denial of service.

Apache disclosed a deserialization issue in message-based management request handling for Apache Artemis and Apache ActiveMQ Artemis. It affects Apache Artemis (artemis-core-client) 2.50.0 through 2.56.0 and ActiveMQ Artemis (artemis-core-client) 1.3.0 through 2.44.0. Exploitation requires an authenticated client authorized with MANAGE permission using management-via-messaging; parameter processing can trigger denial of service. Apache rates the issue as important.

oss-securitySep 10, 00:44 UTC · 6d agoVulnerability 7 sources CVE-2026-57822

Hackers Can Turn Vulnerable LiteLLM AI Gateways Into Root Access and Cloud Credential Theft

Wiz found multiple LiteLLM AI gateway flaws, including a CVE-2026-59822 MCP auth bypass added to CISA KEV, enabling root code execution and cloud credential theft.

An internet scan of 3,074 exposed LiteLLM instances found 294 (9.6%) accepting the default sk-1234 master key and 191 (6.2%) requiring no authentication. CVE-2026-59822 lets a single-character Bearer token establish a valid MCP session via an OAuth2 fallback in versions before 1.84.0; the flaw is in CISA's Known Exploited Vulnerabilities catalog. CVE-2026-59821 allows Python code execution as root in the gateway container via unsanitized Custom Code Guardrails registration before 1.82.0-stable, and CVE-2026-35029 permits config changes leading to RCE and admin takeover. Admin access plus pass-through endpoints can reach cloud metadata services to steal IAM credentials.

GBHackersSep 10, 12:56 UTC · 6d agoAI safety & security in the wild 3 sources CVE-2026-59822 CVE-2026-59821 CVE-2026-35029

12 Best Endpoint Privilege Management (EPM) Tools Compared (2026): Features & Pricing

A 2026 buyer's guide compares 12 endpoint privilege management tools, ranking CyberArk and BeyondTrust as enterprise leaders.

An editorial comparison evaluates 12 endpoint privilege management (EPM) tools on elevation control, manageability, and pricing model. The guide argues that standing local-admin rights fuel ransomware and lateral movement, making their removal a high-impact control that cyber insurers increasingly mandate. CyberArk and BeyondTrust are positioned as enterprise-depth leaders, with Delinea, Heimdal, and ManageEngine for the mid-market, and Admin By Request and CyberFOX AutoElevate for SMBs and MSPs. Pricing is generally per endpoint or per user, and the article is explicitly an assessment rather than a product release or incident report.

GBHackersupdated 09:52 UTC · 9h agofirst Sep 11, 07:04 UTC · 5d agoIndustry 14 sources

Litelm: LiteLLM Without the Bloat

New open-source project Litelm launched on GitHub as a leaner alternative to the LiteLLM multi-provider LLM gateway.

Litelm is a community-published GitHub project positioned as a stripped-down alternative to LiteLLM, a widely used gateway/SDK for routing requests to multiple LLM providers. The post drew modest attention on Hacker News with 45 points and 17 comments. The listing provides no further technical details, benchmarks, or feature specifics.

Hacker News · AISep 11, 18:10 UTC · 5d agoAI tools & infra HN 45↑ · 17 comments2

OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device

OpenBMB released MiniCPM5-2B, a 2.52B-parameter Apache 2.0 on-device model averaging 53.9 across 34 benchmarks, ahead of Qwen3.5-4B.

OpenBMB released MiniCPM5-2B, a 2,516,756,480-parameter dense LlamaForCausalLM model with grouped-query attention and a 131,072-token context, under Apache 2.0, runnable via vLLM, SGLang, llama.cpp, and Ollama. It averages 53.9 across 34 benchmarks versus 51.1 for Qwen3.5-4B, with strong tool-use (97.1 on tau2-Bench Telecom) and code results (69.1 LiveCodeBench v6, 46.4 SWE-bench Verified). Training combined 400B tokens of deep-thinking SFT, critic-based JustRL II RL teachers, and on-policy distillation merging 16 RL experts; datasets and intermediate checkpoints were published alongside the weights.

MarkTechPostSep 7, 19:18 UTC · 9d agoModel release

Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs

Fortunate Recall introduces ontology-based lifecycle policies for LLM memory, cutting confabulation roughly in half (e.g., 45.1% to 22.4%) versus Mem0.

Fortunate Recall (FR) is a composable policy layer that classifies personal facts into a 10+1 behavioral ontology and applies category-specific lifecycle rules including differential temporal decay, slot-key supersession, event-time validity, and retrieval routing. FR-Bank scores 76.9% on the new 516-question LifecycleBench, ahead of Mem0, A-MEM, Memory-R1, and MemoryOS (61%-70.5%), and 75.2% on LongMemEval-S. End-to-end, confabulation drops from Mem0's 45.1% to 22.4% over answered queries, with the ranking replicating on open-weight Kimi K2.5 and transferring to the independent BEAM benchmark (46.8% vs 32.9%).

arXiv cs.AI / cs.LG / cs.CLSep 9, 16:31 UTC · 7d agoAI research

Plug 'n' Pray: Agentic LLM-based Detection of Potential Log File Exposures in Third-Party Content Management System Plugins

Agentic LLM analysis validates 79 log file exposures across 62 of the 300 most-installed WordPress plugins, covering 250M+ active installations.

Researchers built an agentic LLM-based framework combining static and dynamic analysis to automatically detect insecure log files created by WordPress plugins. Scanning the 300 most-installed plugins, which account for roughly 75% of all active installations in the official ecosystem, it produced 81 findings with 79 manually reproduced across 62 plugins. Insufficiently secured log files can disclose credentials and personal data and have led to website compromises. The authors derive a taxonomy of log path and protection patterns and best practices, finding multi-layered protection often absent.

arXiv cs.CRSep 15, 13:29 UTC · 1d agoResearch

A new open standard locks AI weights to approved hardware

OPAQUE releases Weight Custody Manifest, an open standard keeping AI model weights encrypted until receiving hardware cryptographically attests to builder-specified conditions.

OPAQUE, a confidential computing company, released the Weight Custody Manifest (WCM) standard as a developer-preview specification with a Python SDK and a public test suite of 91 cases. WCM keeps model weights encrypted until the receiving infrastructure proves via CPU/GPU attestation that it matches builder-signed conditions, and decryption access can be revoked later if conditions change. OPAQUE says it ran the attestation exchange on an NVIDIA H100 and on AMD and Intel confidential servers hosted on Azure and Google Cloud, with two independent SDK builds producing identical output across 5,948 files. The public quickstart only exercises protocol logic on synthetic evidence and skips GPU cryptographic verification, and the standard cannot distinguish an authorized key from one physically extracted from hardware.

Help Net SecuritySep 10, 04:10 UTC · 6d agoAI safety & security

The 12 Best Mobile Device Management (MDM) Solutions, Compared and Priced

A comparison of 12 MDM platforms ranks Microsoft Intune as best value for Microsoft 365 estates and Jamf, Kandji, and Mosyle for Apple fleets.

The buyer's guide compares 12 mobile device management (MDM) products, naming Microsoft Intune best value since it is included in Microsoft 365 E3/E5, and Jamf, Kandji, and Mosyle as Apple specialists with day-one OS support and automated compliance remediation. Eight of the twelve publish rates; per-device pricing punishes multi-device users, while Microsoft, Omnissa, and IBM offer per-user options. Free tiers from Mosyle, Miradore, and ManageEngine support genuine small deployments.

GBHackersupdated Sep 10, 08:19 UTC · 6d agofirst Sep 10, 08:09 UTC · 6d agoIndustry 4 sources

153GB of stolen credentials surface after LiteLLM supply chain attack

153GB archive from the LiteLLM supply chain attack exposes secrets from about 2,500 companies, including AWS, Samsung, Cisco and Salesforce.

Hudson Rock obtained and analyzed a 153GB archive stolen in the LiteLLM supply chain attack, containing 433,909 files with secrets attributed to 2,488 corporate domains, including AWS, Samsung, Cisco, Salesforce, NVIDIA, Microsoft and Siemens. TeamPCP compromised Trivy on March 19, 2026, stole LiteLLM's PyPI publishing tokens through the build pipeline, and published malicious LiteLLM versions 1.82.7 and 1.82.8 on March 24. CloudSEK separately estimated close to 2,500 exposed organizations, and Kevin Beaumont confirmed the data is legitimate. Hudson Rock is running a global ethical disclosure effort and urges organizations to rotate secrets before the trove leaks publicly.

Help Net SecurityAug 13, 00:00 UTC · Aug 13, 2026Data breach in the wild

MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes

MetroLLM-Bench is a 955-case benchmark testing language models as transit kiosk tool-calling runtimes across six real metro systems.

The benchmark covers 37-414-station metro systems and eleven task categories including routing, fare calculation, disruptions, accessibility, and adversarial input, with 14 deterministic and 8 semantic scoring components. Of 26 models from six vendors, a PEFT-tuned 4B Qwen 3.5 student scored 91.3 on Tier 1, exceeding GPT-5.6 (90.6/90.0), while Muse Glimmer 30B led the composite ranking. A deterministic rule-based baseline reached 84.6, and PEFT gains over base models shrank from +7.03 points at 2B to -0.91 at 27B.

Hugging Face daily papersSep 8, 20:00 UTC · 7d agoAI research

LLMs and Contextual Integrity

Bruce Schneier highlights two papers: the CIMemories benchmark shows frontier LLMs leak memory attributes up to 69%, and an RL method reduces inappropriate disclosures.

Bruce Schneier discusses contextual integrity in LLMs, referencing the CIMemories benchmark, which uses synthetic profiles with 100+ attributes per user to test whether models with persistent memory disclose sensitive information appropriately. Evaluation showed frontier models exhibit up to 69% attribute-level violations, with GPT-5's violation rate rising from 0.1% to 9.6% across 40 tasks and reaching 25.1% with repeated prompting, showing unstable leakage behavior. A second paper introduces a reinforcement learning framework trained on a synthetic 700-example dataset that substantially reduces inappropriate disclosure while maintaining task performance, with improvements transferring to the human-annotated PrivacyLens benchmark.

Schneier on SecurityAug 18, 10:40 UTC · 29d agoAI safety & security

IFM/K2-Horizon-MoVA-36B-A4B — new model trending #15 on Hugging Face

IFM released K2-Horizon-MoVA-36B-A4B, an open-weights 36B-parameter MoE model with 4B active parameters and native 512K context.

IFM released the final checkpoint of K2-Horizon-MoVA-36B-A4B, a sparse Mixture-of-Experts model using Mixture-of-Values (MoVA) attention with 36B total and 4B active parameters. The model supports native 524,288-token context and reportedly outscores open-weight dense and MoE models up to 15x its size on agentic and reasoning benchmarks, while competing against closed frontier models. Intermediate checkpoints, training data, the training recipe, and training code are slated for public release.

Hugging Face trending modelsSep 1, 23:01 UTC · 14d agoModel release

LLM Agents as Computational Typologists

AUTOTYPOLOGIST is an LLM agent that performs evidence-grounded linguistic typology analysis over 25 open-source reference grammars.

The agent retrieves relevant grammar sections, analyzes interlinear glossed text (IGT), and iteratively reasons over typological hypotheses in a ReAct-style workflow. It was evaluated on typological feature coding against expert annotations and hypothesis testing against universals using 25 open-source reference grammars. Results suggest LLM agents can support scalable, inspectable crosslinguistic analysis but still require expert validation.

arXiv cs.AI / cs.LG / cs.CLSep 7, 17:35 UTC · 9d agoAI research1

IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications

IdeaAMBIG benchmark of 660 specification-gap instances shows LLMs localize implementation-critical research gaps poorly, with best model at 9.6% defect recovery.

IdeaAMBIG is a benchmark of 660 evidence-grounded instances evaluating whether research-method specifications provide enough information for faithful implementation: 163 real-world gaps from reproducibility reports and GitHub issues plus 497 controlled synthetic gaps. It tests codification-readiness assessment, defect localization, and clarification action generation across 13 LLMs. The best model achieves only a 9.6% Macro Defect Recovery Rate on real-world instances, though 80.6% clarification success when given the annotated defect, and an oracle study shows gold resolutions raise codification-ready rates from 14% to 98%. Defect localization emerges as the main bottleneck across all evaluated models.

Hugging Face daily papersSep 8, 20:00 UTC · 7d agoAI research

Top 10 Best Cloud Infrastructure Entitlement Management (CIEM) Tools in 2026

2026 CIEM guide ranks Wiz, Prisma Cloud, Okta, Entra Permissions Management and specialists Sonrai, Britive, Tenable/Ermetic for cloud entitlement right-sizing.

Buyer's guide covers ten CIEM products across three market routes: CNAPP-bundled (Wiz, Prisma Cloud), identity-suite (Okta, CyberArk, SailPoint, Saviynt) and specialists (Sonrai, Britive, Tenable/Ermetic). It cites machine identities outnumbering humans 10:1 plus effective-permissions sprawl as core drivers, with JIT elevation as the fix. Notable consolidation includes Tenable acquiring Ermetic and Zscaler acquiring Canonic.

Cyber Security NewsSep 15, 06:30 UTC · 1d agoTools

Top 10 Best Mobile Device Management (MDM) Solutions in 2026

A 2026 MDM buyer guide ranks ten solutions, recommending Microsoft Intune for Microsoft 365 estates and Jamf for Apple-only environments.

A 2026 buyer guide evaluates ten mobile device management solutions, leading with Microsoft Intune as the default for Microsoft 365 organizations and Jamf for Apple estates. It recommends choosing the enrolment model before selecting a vendor and clarifying BYOD visibility to prevent privacy disputes. Kandji, Mosyle, Omnissa Workspace ONE, ManageEngine, Scalefusion, and Hexnode are covered as alternatives. Guidance ties MDM to Zero Trust data access policies via Apple User Enrolment and Android work profiles.

Cyber Security NewsSep 9, 07:45 UTC · 7d agoIndustry

IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications

IdeaAMBIG benchmark with 660 instances measures whether LLMs can spot and fix underspecified research-method details for faithful implementation.

Researchers introduce IdeaAMBIG, a benchmark of 660 evidence-grounded instances (163 real-world gaps from reproducibility reports and GitHub issues, 497 controlled synthetic gaps) built from papers, codebases, and reproduction artifacts. It evaluates codification-readiness assessment, defect localization, and clarification action generation. Across 13 LLMs, the best model achieved only 9.6% Macro Defect Recovery Rate on real-world instances but 80.6% clarification success when given the annotated defect. An oracle study showed gold resolutions raise the codification-ready rate from 14% to 98%, identifying defect localization as the main bottleneck.

arXiv cs.AI / cs.LG / cs.CLSep 9, 17:59 UTC · 7d agoAI research2

CodeTD: Topology of Attention Detects Hallucinations in Code LLMs

CodeTD detects hallucinations in code LLMs before execution by analyzing topological patterns of attention maps, outperforming recent baselines.

CodeTD applies topological data analysis (TDA) to code LLM attention maps to quantify prompt-generation mismatch as a pre-execution correctness signal. Experiments cover HumanEval, MBPP, BigCodeBench, and MultiPL-E across 5 programming languages and 10 code LLMs up to 34B parameters. The method outperforms recent baselines and transfers between coding benchmarks, helping catch code that fails the task or embeds security vulnerabilities.

arXiv cs.AI / cs.LG / cs.CLSep 7, 17:26 UTC · 9d agoAI research1

openbmb/MiniCPM5-2B — new model trending #4 on Hugging Face

OpenBMB released MiniCPM5-2B, a dense 2B open-weights Transformer claiming 2B-class open-source SOTA for on-device deployment.

OpenBMB released MiniCPM5-2B, the second model in the MiniCPM5 series following MiniCPM5-1B, and it is trending #4 on Hugging Face. The dense 2B Transformer targets on-device, local, and resource-constrained deployment and claims 2B-class open-source SOTA while remaining competitive with 4B-class models. Reported strengths include coding, mathematics, long-context understanding, tool use, and agentic tasks; a tech report (arXiv 2506.07900), GitHub repo, and online demo accompany the release.

Hugging Face trending modelsSep 6, 11:12 UTC · 10d agoModel release

Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models

Audit of 22 frontier models finds widespread verbatim retrieval of published molecular property values, with higher reasoning increasing recall of memorized numbers.

An arXiv audit tests 22 frontier LLMs across 12 molecular regression benchmarks for verbatim retrieval of published values. More than 50% of the LLMs show verbatim retrieval on five datasets, and identical experiments are flagged 89% more often at a high reasoning level than at the lowest one. Suppressing retrieval moves model prediction errors closer together in relative terms, suggesting predictive capability is not determined solely by memorized values.

arXiv cs.AI / cs.LG / cs.CLSep 4, 17:32 UTC · 12d agoAI research1

mySCADA myPRO Manager

CISA advisory reveals unauthenticated privileged API access and arbitrary SMS sending in mySCADA myPRO Manager <=2.1, CVSS 9.8.

CISA advisory ICSA-26-258-03 discloses two vulnerabilities in mySCADA myPRO Manager <=2.1 with aggregate CVSS v3 of 9.8. CVE-2026-73807 (CVSS 9.8) lets unauthenticated network attackers access privileged management functions via the command API, while CVE-2026-82567 exposes an unauthenticated HTTP endpoint that sends arbitrary SMS messages through a connected GSM modem. Deployments span critical manufacturing, energy, food and agriculture, transportation, and water and wastewater sectors. CISA states no known public exploitation has been reported at this time.

CISA AdvisoriesSep 15, 12:00 UTC · 1d agoAdvisory CVE-2026-73807 CVE-2026-82567

Nozomi Compass helps industrial teams manage OT assets and vulnerabilities

Nozomi Networks launched Compass, an OT asset and vulnerability management platform unifying asset records, remediation workflows, and compliance evidence for industrial teams.

Nozomi Networks announced Compass, an OT asset and service management platform built on real-time first-party asset data from its Vantage cyber-physical security platform. It provides OT-native workflows, governed change approvals, consequence-based risk scoring, and continuous audit-ready compliance evidence mapped to NERC CIP, IEC 62443, NIS2, and TSA. The platform integrates with EAM, CMDB, ITAM, ITSM, SIEM, and SOAR tools and is designed to safely support AI-driven and agentic OT workflows with human oversight.

Help Net Security10:27 UTC · 8h agoTools

Top 10 Best Endpoint Privilege Management (EPM) Tools in 2026

A 2026 scorecard ranks ten endpoint privilege management tools, led by BeyondTrust, ThreatLocker and Delinea for elevation, coverage and policy depth.

The article ranks ten endpoint privilege management (EPM) tools using weighted criteria covering elevation workflow, platform coverage, policy depth, time-to-value and value. BeyondTrust scored highest overall (8.4) for cross-platform breadth, with ThreatLocker (8.2), Delinea (8.1) and Admin By Request (8.0) highlighted for allowlisting integration, cloud administration and deployment speed respectively. It also notes that Netwrix acquired CoSoSys in 2024, which affects bundling when shortlisting both EPM and device control.

Cyber Security NewsSep 10, 07:58 UTC · 6d agoIndustry