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CISA: Hackers now exploit max severity GitLab flaw in attacks

CISA added max-severity GitLab CVE-2026-85706 to its exploited-flaws catalog after watchTowr observed probing of unpatched servers.

CISA added CVE-2026-85706, a maximum-severity GitLab flaw caused by missing authentication enforcement and improper path confinement in the repository commits API, to its actively exploited vulnerabilities catalog. Unauthenticated attackers can read credentials, secrets, and arbitrary files from vulnerable servers via a single HTTP request. GitLab patched the issue in CE/EE versions 19.3.2, 19.2.6, and 19.1, and federal agencies have three days to remediate under BOD 26-04. watchTowr reported in-the-wild probes for unpatched GitLab servers, and this is the fourth GitLab vulnerability CISA has tagged as actively exploited since November 2021.

BleepingComputerupdated · 1d agofirst · 2d agoExploit / PoC in the wild 18 sourcesCVE-2026-85706CVE-2021-22175CVE-2021-39935

SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking

SAS trains attention sparsification end-to-end with the language modeling loss, beating sparse attention baselines especially under tight context budgets.

Simple Attention Sparsification (SAS) injects the selector's continuous scores into attention logits in log form inside the softmax, letting gradients from the language modeling loss directly update the ranking of context units. The method uses normalized softmax gates calibrated against the current block and a memory-efficient Triton kernel integrated into FlashAttention-style computation. Across reasoning, long-context, and agentic tasks, SAS consistently outperforms trainable sparse attention baselines across budgets, with the largest gains under tight attention budgets.

Hugging Face daily papersupdated · 5d agofirst · 6d agoAI research 2 sources1

Adobe Commerce max-severity bug comes under active attack

Attackers are actively exploiting CVE-2026-75650 (CVSS 10.0), an unauthenticated RCE zero-day in Adobe Commerce/Magento, deploying a Rust backdoor on e-commerce servers.

Sansec identified active exploitation of a CVSS 10.0 zero-day (CVE-2026-75650) in Adobe Commerce and Magento Open Source versions 2.4.4 through 2.4.9, dubbed StyleSmuggler. The attack abuses crafted style properties in Magento template processing to execute PHP while rendering a 'Payment Transaction Failed Reminder' email, then launches a Rust backdoor connecting to C2 at 99.84.67.186 disguised as NTP traffic. Exploitation began September 4, 2026; Adobe released emergency hotfix VULN-393411, but Sansec also observed a second attacker deploying a PHP web shell in the product-image cache.

CSO Online · 8d agoExploit / PoC in the wildCVE-2026-75650

Adobe fixes critical Magento zero-day exploited to backdoor servers

Adobe emergency-patches actively exploited max-severity Magento/Adobe Commerce zero-day CVE-2026-75650 (StyleSmuggler), used since Sept 4 to backdoor servers.

Adobe released an emergency hotfix (VULN-39341) for CVE-2026-75650, a max-severity zero-day dubbed StyleSmuggler affecting Adobe Commerce 2.4.4-2.4.9, Adobe Commerce B2B 1.3.3-1.5.3, and Magento Open Source 2.4.6-2.4.9, enabling arbitrary code execution. Sansec reports the flaw has been exploited since at least September 4 to plant a backdoor whose C2 host is disguised as an NTP server, leaving traces like 'Payment Transaction Failed Reminder' emails. A second attacker with unrelated tooling is exploiting the flaw to deploy a 485-byte PHP web shell that collects server details, checks pub/media writability, and exfiltrates data to an oast.site subdomain. Adobe recommends immediate hotpatching plus rotation of all secrets including admin passwords, API keys, database credentials, and SSH keys.

BleepingComputer · 8d agoExploit / PoC in the wildCVE-2026-756501

N-able patches max severity N-central flaw amid ongoing attacks

N-able ships an emergency hotfix for a maximum-severity RCE flaw in its N-central RMM platform that attackers are actively exploiting.

N-able has released an emergency hotfix for a maximum-severity remote code execution vulnerability affecting its N-central remote monitoring and management (RMM) platform. The company urges customers to apply the fix immediately because attacks against N-central instances are ongoing. N-central is widely used by managed service providers, so a compromise of one deployment can expose many downstream customer environments.

BleepingComputer · 9d agoExploit / PoC in the wild

Back-to-back N-able bugs send admins on a patching spree

CVE-2026-86218, a CVSS 10.0 pre-auth RCE in N-able N-central, is being exploited in the wild; Hotfix 4 mitigates it immediately.

N-able disclosed CVE-2026-86218 on September 6, a pre-authentication remote code execution flaw with CVSS 10.0 in its N-central RMM platform, and both N-able and Huntress report it is being exploited in the wild. It follows Huntress's disclosure of an exploit chain combining CVE-2026-86206 and CVE-2026-86207 that bypasses access controls to create unauthorized administrative accounts, investigated after a September 4 compromise of a fully patched customer environment. N-able has applied mitigations to all hosted N-central instances; on-premises customers must upgrade to Hotfix 4 (build 2026.3.1.14) immediately.

CSO Online · 9d agoExploit / PoC in the wildCVE-2026-86218CVE-2026-86206CVE-2026-86207+2 CVEs

Oracle’s September patches put Fusion Middleware back in the hot seat

Oracle's September 2026 CPU ships 673 patches including six CVSS 10.0 flaws in Fusion Middleware and Hyperion, none exploited in the wild.

Oracle's September 2026 Critical Security Patch Update delivers 673 patches across 17 product families, led by E-Business Suite with 159 fixes and Fusion Middleware with 153. Six CVSS 10.0 vulnerabilities in Access Manager, Forms, Internet Directory, Platform Security for Java, WebLogic Server, and Hyperion are remotely exploitable without authentication, and Oracle reports none exploited in the wild. Now patching monthly, Oracle urged immediate deployment and warned that unsupported releases are not tested for these flaws.

CSO Online · 4h agoVulnerabilityCVE-2026-71133CVE-2026-83099CVE-2026-83059+16 CVEs

SAP warns of maximum severity 'OVERPASS' kernel vulnerability

SAP's September 2026 patches fix maximum-severity kernel flaw CVE-2026-44756 (OVERPASS), letting unauthenticated attackers execute commands on 10,000+ internet-facing SAP systems.

SAP's September 2026 Patch Tuesday addresses 20 vulnerabilities, headlined by CVE-2026-44756, a buffer overflow in the Extended Passport Protocol (EPP) library of the SAP Kernel dubbed OVERPASS by Onapsis researchers. Unauthenticated attackers can gain administrative command execution via SAP Internet Communication Manager; Onapsis counted more than 10,000 internet-facing SAP systems. SAP also fixed CVE-2026-58240 (S4GET), a critical missing-authentication flaw in the NetWeaver Message Server enabling unauthenticated remote code execution as <sid>adm. Since November 2021, CISA has added 14 SAP flaws to its actively exploited list, three abused by ransomware gangs.

BleepingComputer · 8d agoVulnerability 2 sourcesCVE-2026-44756CVE-2026-58240CVE-2026-58231

Microsoft breaks Patch Tuesday record with 974-CVE deluge

Microsoft's record 974-CVE Patch Tuesday ships two exploited Windows zero-days, while Adobe's StyleSmuggler zero-day (CVE-2026-75650) gives unauthenticated RCE in Magento.

Microsoft's September Patch Tuesday addresses 974 CVEs, including two zero-days already under exploitation: CVE-2026-85880, a Windows ALPC privilege escalation leading to SYSTEM via sandbox escape, and CVE-2026-81963, a Windows Update Stack privilege escalation. Adobe patched 172 CVEs, including the max-severity StyleSmuggler zero-day CVE-2026-75650 in Magento and Adobe Commerce, which Sansec reports is being exploited since September 4 to inject PHP into templates and install a C2-connected backdoor. CISA added CVE-2026-85880, CVE-2026-81963, and CVE-2026-75650 to its Known Exploited Vulnerabilities Catalog with patch deadlines of September 22 and September 11. The piece also notes Google-patched Chrome V8 zero-day CVE-2026-85046 lacks a Microsoft advisory for Edge, and flags nine Exchange Server flaws including remote unauthenticated RCE CVE-2026-55007.

The Register · Security · 7d agoExploit / PoC in the wildCVE-2026-75650CVE-2026-85880CVE-2026-81963+3 CVEs1

SAP Patches Maximum Severity “Overpass” Flaw

Onapsis warns over 10,000 internet-facing SAP systems may be exposed to maximum-severity unauthenticated RCE flaw CVE-2026-44756 in SAP Extended Passport.

Onapsis Research Labs discovered CVE-2026-44756, a memory corruption flaw in SAP Extended Passport (EPP) processing caused by missing boundary validation during deserialization. The bug is reachable from the SAP GUI and RFC layers, is remotely exploitable without authentication by default, and could let attackers run arbitrary OS commands with SAP administrative privileges. No active exploitation was observed at publication. Onapsis also flagged critical S4GET bug CVE-2026-58240 (CVSS 9.8) in the S/4HANA Message Server, credential disclosure CVE-2026-76969 in SAP CAP, and improper access control CVE-2026-66768 in NetWeaver.

Infosecurity Magazine · 7d agoVulnerabilityCVE-2026-44756CVE-2026-58240CVE-2026-76969+1 CVEs

Attackers exploit zero-days in consistently besieged SonicWall product

Two actively exploited SonicWall SMA 1000 zero-days chain to unauthenticated RCE; patches released and CISA added both to KEV.

SonicWall disclosed and patched two zero-days in SMA 1000 appliances: CVE-2026-83548, a maximum-severity pre-authentication SSRF, and CVE-2026-83549, a high-severity OS command injection. Rapid7 said chaining the flaws yields unauthenticated remote code execution, and CISA added both to its KEV catalog Wednesday. The vendor provided no IOCs or victim counts, urging customers to hunt for compromise, reimage or redeploy appliances, and reset all passwords and tokens. The product has faced repeated exploitation, including ransomware-linked flaws used by INC and Akira.

CyberScoop · 12d agoExploit / PoC in the wildCVE-2026-83548CVE-2026-83549

Reference-Based Bias Detection in LLMs via Relative Representations of Hidden States

Researchers propose auditing LLM bias via relative hidden-state representations, detecting bias increases with 3-50x less compute than output-level benchmarks.

The paper introduces a reference-based bias auditing method that compares hidden-state representations across model variants, such as before and after fine-tuning, by encoding sentences relative to a fixed anchor set. The resulting Representational Bias Shift (Delta-B) correlates with output-level bias change in 15 of 18 tested settings, reaching |r| = 0.84 under full fine-tuning across WildGuardMix, DecodingTrust, and ToxiGen benchmarks. Thresholding Delta-B detects checkpoints whose bias increased with ROC AUC between 0.65 and 0.99 and beats a SEAT-based baseline, while auditing a model in about three minutes with 3-50x less compute.

Hugging Face daily papers · 8d agoAI research

Enterprise Applications Carry 4.31x More Critical and High Vulnerabilities

Sonatype reports enterprise applications contain 4.31x more critical and high-severity vulnerabilities as accelerated software creation drives rising vulnerability levels.

Sonatype's analysis found enterprise applications carry 4.31 times more critical and high-severity vulnerabilities. The report links rising vulnerability levels to accelerated enterprise software creation. The findings are part of Sonatype's software supply chain research coverage reported by Infosecurity Magazine.

Infosecurity Magazine · 29d agoIndustry

MAxBench: A Multinomial Concept Recovery Benchmark

MAxBench evaluates multinomial concept recovery methods, finding affine subspaces steer most reliably but none consistently beats prompting.

MAxBench is a geometry-agnostic evaluation framework for multinomial concept representations in language models, based on sampling from recovered concept representations. It compares 10 localization methods covering 5 geometry types across 6 concepts and 4 models. Findings show affine subspaces steer more reliably than rank-one or linear subspaces due to better non-zero offsets, manifold steering is competitive where applicable, and no method consistently outperforms prompting.

arXiv cs.AI / cs.LG / cs.CL · 5d agoAI research

ZDI-26-639: Oracle VirtualBox VMSVGA Heap-based Buffer Overflow Local Privilege Escalation Vulnerability

ZDI disclosed a heap-based buffer overflow in Oracle VirtualBox's VMSVGA component (CVE-2026-71116) enabling local privilege escalation.

Zero Day Initiative published ZDI-26-639, a CVSS 7.5 heap-based buffer overflow in the VMSVGA component of Oracle VirtualBox. Local attackers who already execute high-privileged code on the guest system can leverage the flaw to escalate privileges on affected installations. The vulnerability is tracked as CVE-2026-71116. No exploitation is reported.

ZDI Published Advisories · 7d agoVulnerability 6 sourcesCVE-2026-71116

Perturbation Probing: A New Diagnostic for the Fragility of LLM Safety

Unit 42 research shows LLM safety refusals concentrate in a thin neural layer, motivating external, multi-layered AI security controls.

Palo Alto Networks Unit 42 introduces Perturbation Probing, a diagnostic technique for measuring the fragility of LLM safety mechanisms. The research finds that safety refusal behavior is localized within a thin neural layer, implying small perturbations can undermine built-in refusals. The authors argue this motivates external, multi-layered security defenses on top of model-internal safety training.

Palo Alto Unit 42 · 18d agoAI safety & security

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.

Hugging Face daily papers · 14d agoAI research1

[Control Systems] Siemens security advisory (AV26-881)

Siemens patched an account hijacking vulnerability in the Mendix SAML module affecting Mendix 9.24, 10, and 11 releases before fixed versions.

The Canadian Centre for Cyber Security relayed Siemens advisory SSA-887643, which addresses an account hijacking vulnerability in the Mendix SAML module. Affected components are the Mendix 10 and Mendix 11 compatible modules prior to V4.2.3 and the Mendix 9.24 compatible module prior to V3.6.27. Administrators are encouraged to review the linked advisories and apply the available updates.

Canadian Centre for Cyber Security · 13d agoAdvisory

TIER: Threat Implicitness Benchmark for Evaluating LLM Safety Behaviors

TIER benchmark shows LLM safety behaviors shift gradually across threat implicitness levels, with jailbreaks exposing the largest robustness gaps.

The TIER benchmark evaluates LLM safety behaviors across four risk domains and four threat levels, from explicit harmful requests to sophisticated jailbreaks, using a six-label behavior scale and two independent LLM judges. Experiments on six open-weight LLMs show safety behaviors evolve gradually across threat levels rather than flipping from refusal to compliance. Models with similar Attack Success Rates can exhibit distinct response distributions, arguing for behavior-aware safety evaluation.

arXiv cs.CR · 12d agoAI safety & security

ZDI-26-647: VMware Workstation VMXNET3 TSO Segmentation Integer Overflow Local Privilege Escalation Vulnerability

ZDI disclosed an integer overflow in VMware Workstation's VMXNET3 TSO code (CVE-2026-59346) enabling local privilege escalation.

Zero Day Initiative published ZDI-26-647, a CVSS 7.5 integer overflow in the VMXNET3 TSO segmentation code of VMware Workstation. A local attacker who has already obtained the ability to execute high-privileged code on the guest system can exploit the flaw to escalate privileges on affected installations. The issue is tracked as CVE-2026-59346. No exploitation is reported in the advisory.

ZDI Published Advisories · 7d agoVulnerabilityCVE-2026-59346

Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting

Study finds zero-shot time-series foundation models underperform on CGM forecasting; fine-tuned Chronos-Bolt cuts RMSE up to 18.4% and dietary context adds signal.

The paper evaluates time-series foundation models for continuous glucose monitoring forecasting across eight public datasets covering Type 1 diabetes, Type 2 diabetes, and non-diabetes populations. Under a unified protocol, zero-shot foundation models did not consistently outperform baselines like Elastic Net and PatchTST, but lightweight fine-tuning did, with fine-tuned Chronos-Bolt reducing RMSE by 6.5%-18.4% in the T1D cohort and 8.6%-18.2% in the non-diabetes/T2D cohort. A residual-based fusion framework adding dietary context from CGMacros reduced overall RMSE by about 3% and postprandial RMSE by about 15% versus CGM-only baselines.

arXiv cs.AI / cs.LG / cs.CL · 6d agoAI research

When the prompt becomes the payload: A practical pen-testing guide for GenAI, LLM and RAG applications

CSO Online publishes a practical penetration-testing guide for GenAI, LLM, and RAG applications, covering prompt injection, retrieval poisoning, and tenant isolation testing.

The guide frames LLM applications as attack graphs spanning prompts, retrieval layers, vector stores, tools, identities, and downstream APIs, arguing that conventional web testing misses instruction-vs-data channel risks. It builds on OWASP prompt injection guidance (direct vs. indirect injection) and NIST's 2025 adversarial machine-learning taxonomy, noting that RAG and fine-tuning do not remove injection risk. Recommended practices include documenting trust transitions across components, using canaries and synthetic records to avoid test side effects, running multi-turn and obfuscated injection campaigns, and verifying chains from poisoned documents to observable state changes. It also details testing RAG pipelines via controlled document poisoning across metadata, OCR layers, and code comments, plus cross-tenant isolation checks on retrieved document IDs.

CSO Online · 7d agoAI safety & security1

You Can't Prefer Emotions You Don't Sample: Intensity Undershoot in DPO-Tuned LLMs

Study quantifies DPO-tuned LLMs undershooting requested emotional intensity, tracing the gap to candidate-pool extremity rather than conditioning format.

Conditioning an instruction-tuned LLM on continuous valence-arousal targets yields gain of only 0.26 for valence and 0.13 for arousal on Llama-3.1-8B, far below faithful control of 1.0. The authors attribute undershoot to neutral-heavy preference corpora like EmoBank and candidate pools lacking extreme affect, leaving DPO without extreme exemplars. Uniform target coverage with a hotter candidate pool raises valence gain to 0.40 on Llama-3.1-8B and 0.44 on Qwen3-8B, with modest in-distribution cost; arousal gains remain unstable across seeds.

arXiv cs.AI / cs.LG / cs.CL · 9d agoAI research

Towards Scalable and Cost-Efficient Vulnerability Detection: A Study on Automatic Query Generation

A study finds LLM-synthesized CodeQL queries improve average F1-score by 82% over baseline queries, offering scalable vulnerability detection versus direct LLM scanning.

Researchers conducted an empirical study evaluating whether LLMs can synthesize executable CodeQL queries from National Vulnerability Database vulnerability data. LLM-generated queries significantly enhanced baseline CodeQL suites, yielding an 82% improvement in average F1-score across a diverse set of real-world vulnerabilities. A cost-benefit analysis shows direct LLM-based scanning of entire repositories is often computationally and financially prohibitive, while LLM query synthesis offers a scalable and cost-effective alternative for large-scale vulnerability detection.

arXiv cs.CR · 7d agoResearch1

ZDI-26-635: Oracle Outside In Technology PDF File Parsing Integer Overflow Remote Code Execution Vulnerability

ZDI disclosed CVE-2026-60392, an integer overflow in Oracle Outside In PDF parsing enabling remote code execution, rated CVSS 7.8.

The Zero Day Initiative published advisory ZDI-26-635 describing an integer overflow vulnerability in PDF file parsing within Oracle Outside In Technology. Successful exploitation allows remote code execution but requires user interaction, such as opening a malicious file or visiting a malicious page. ZDI assigned the flaw a CVSS rating of 7.8.

ZDI Published Advisories · 7d agoAdvisory 4 sourcesCVE-2026-603921

The State of Cloud Risk 2026: Most Security Findings Aren’t Real Attacker Opportunities

Wiz Research's 2026 cloud risk report finds most high-severity findings lack a viable path to compromise, urging exposure-based prioritization.

Wiz Research telemetry underpins a State of Cloud Risk 2026 report arguing that the majority of high-severity security findings are not real attacker opportunities because they lack a path to compromise. The report pushes defenders to prioritize findings by exposure and exploitability rather than raw severity scores. No specific CVEs, victims, or incident counts are provided in the available text.

Wiz Blog · 21d agoResearch

Bag of Tricks or Bag of Myths? Reducing Modeling Complexity with Task Knowledge in Explainable Suicide Risk Assessment

Researchers audit 31 NLP techniques for clinician-annotated suicide risk prediction, finding only 5 of 31 comparisons yield reliable gains.

A study of 1,635 clinician-annotated social media posts ran roughly 300 controlled experiments across 7 methodological families, auditing techniques such as model scaling, synthetic data, ensembling, and threshold tuning under severe class imbalance. The proposed system reformulates risk factor prediction as entailment between posts and codebook definitions, using architecturally diverse ensembles with class-balanced training and deployment-consistent calibration. It scores 0.8203 for risk, 0.7953 for evidence, and 0.7045 macro-F1 for factors, ranking third among 53 teams.

arXiv cs.AI / cs.LG / cs.CL · 9d agoAI research

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.CL · 12d agoAI research1

Windows BitLocker Flaw Lets Attackers Execute Code on Vulnerable Systems

Microsoft patched CVE-2026-69449, a heap-based buffer overflow in Windows BitLocker allowing privileged local attackers to execute code; no exploitation reported.

Microsoft disclosed CVE-2026-69449 on September 8, 2026, an Important-severity heap-based buffer overflow (CWE-122) in Windows BitLocker with a CVSS 3.1 base score of 6.7. The attack vector is local (AV:L) with high privileges required, so exploitation needs privileged local access rather than remote access over the internet. Microsoft, as assigned CNA, has not reported public exploitation, and administrators are urged to inventory BitLocker-enabled systems and apply updates. Interim mitigations include least-privilege access, limiting administrative rights, and monitoring for unexpected elevated process activity.

GBHackers · 7d agoVulnerabilityCVE-2026-694491

10 most critical LLM vulnerabilities

OWASP updated its Top 10 LLM application vulnerabilities, ranking prompt injection first and elevating excessive agency to third amid agentic adoption.

OWASP refreshed its Top 10 list of critical vulnerabilities in LLM applications, for the first time incorporating real-world incident data alongside expert voting. Prompt injection and sensitive information disclosure remain first and second, while excessive agency jumped from sixth to third as agentic systems that call APIs and execute code proliferate. Unbounded consumption of AI resources rose in prominence, while improper output handling dropped to the bottom as output sanitization becomes widespread. The list includes remediation guidance such as strict output schemas, human-in-the-loop approvals, and least-privilege credentials held in application code.

CSO Online · 6d agoAI safety & security

ZDI-26-591: NVIDIA TensorRT ONNX File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerability

ZDI disclosed a heap-based buffer overflow RCE (CVE-2026-24272, CVSS 7.8) in NVIDIA TensorRT ONNX parsing, requiring user interaction to exploit.

The Zero Day Initiative published advisory ZDI-26-591 covering a heap-based buffer overflow in NVIDIA TensorRT's ONNX file parsing. Successful exploitation allows remote code execution when a user opens a malicious ONNX file or visits a crafted page. ZDI rated the vulnerability CVSS 7.8 and assigned CVE-2026-24272.

ZDI Published Advisories · 23d agoAdvisoryCVE-2026-24272