Search: “F5 WAF”

31 stories

DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Vulnerability 16 Exploit / PoC 3 Data breach 3 Malware 2 Phishing & fraud 2 Tools 2 Threat actor 1 Advisory 1 AI tools & infra 1

SeverityAll critical 17 high 5 medium 3 low 3 info 3

Smart search ranks by meaning as well as keywords (one row per story, last 45 days).

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.

Help Net SecuritySep 2, 00:00 UTC · 14d agoTools

New infosec products of the week: September 4, 2026

Weekly roundup covers F5's AI-powered WAF enhancements, Ping Identity's personal AI agent access, Superna 2.15 cyberstorage, and BugBase Pentest Copilot Enterprise.

This week's product roundup features releases from BugBase, F5 Networks, Ping Identity, and Superna. F5's WAF for Distributed Cloud adds anomaly detection and agentic threat intelligence for real-time virtual patching, Ping Identity launched Enterprise Personal Agent Access for securing personal AI agents, Superna 2.15 adds guided event-closing workflows for cyberstorage operations, and BugBase's Pentest Copilot Enterprise automates black-box pentesting across 100 vulnerability types using real Chromium browsers.

Help Net SecuritySep 4, 00:00 UTC · 12d agoTools

wp2shell: incident response guide (CVE-2026-63030 + CVE-2026-60137)

Eye Security published forensic IR tooling for wp2shell (CVE-2026-63030/CVE-2026-60137), the unauthenticated WordPress core RCE chain, after WordPress.org forced auto-updates.

wp2shell chains a REST API batch-endpoint route-confusion bug (CVE-2026-63030) with an SQL injection in WP_Query's author__not_in parameter (CVE-2026-60137), giving unauthenticated attackers rogue admin and code execution on default installs. Adam Kues of Searchlight Cyber discovered the flaw, a public PoC exists on GitHub, and WordPress.org forced automatic updates across an estimated 200M+ sites. Eye Security released a compromise-scanner WordPress plugin and browser extension and notes database artifacts (oEmbed cache rows, changesets) are the primary evidence since the attack is log-blind; fixed versions are 6.8.6, 6.9.5, and 7.0.2.

Web discovery (articles for new exploits & KEV entries)Sep 8, 16:27 UTC · 7d agoExploit / PoC in the wild 2 sources CVE-2026-63030 CVE-2026-601371

Content-Encoding WAF Evasion

FortiWeb WAF policies can be bypassed by unauthenticated attackers using crafted Content-Encoding requests (CVSS 4.8).

Fortinet disclosed an incomplete list of disallowed inputs (CWE-184) in FortiWeb's WAF, tracked as FG-IR-26-157. An unauthenticated attacker can bypass WAF policies using specifically crafted requests with crafted Content-Encoding values. The issue carries a CVSSv3 score of 4.8 and was revised on 2026-08-12. The advisory does not report active exploitation.

Fortinet PSIRTAug 12, 07:00 UTC · Aug 12, 2026Advisory

Exposed Vite servers are being probed for AWS and Azure credentials

F5 honeypots logged 32,000+ probes against Vite file-access bypass CVE-2026-39364, hunting AWS and Azure credentials on exposed dev servers.

F5 Labs reported 32,000+ scan attempts (807 attack sessions) against exposed Vite servers in August, up from 1,732 attempts over the prior three months. Attackers exploited CVE-2026-39364 (CVSS 8.2), which bypasses Vite's server.fs.deny protection via parameters like ?raw and ?import&raw, affecting Vite 7.1.0 to before 7.3.2 and Vite 8 before 8.0.5. Scanners cycled wordlists for environment files, AWS keys, Azure tokens and IaC state files, also combining older Vite CVEs (2025-30208, 2025-31125, 2024-45811) and probing a Next.js middleware bypass. Only CVE-2025-31125 is currently in CISA's KEV catalog.

CSO OnlineSep 15, 14:36 UTC · 19h agoExploit / PoC in the wildCVE-2026-39364 CVE-2025-30208 CVE-2025-31125+4 CVEs

Inside AI-Powered WAF Detections: Architecture and Safety Controls

Akamai published a technical breakdown of the architecture and safety controls behind its AI-powered WAF detections.

Akamai published a technical blog post examining the architecture of its AI-powered web application firewall detections. Per the title, the piece covers the design and safety controls applied to machine-learning-based WAF detections.

Akamai BlogSep 8, 12:00 UTC · 7d agoTools

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 Sep 15, 11:12 UTC · 22h agofirst Sep 14, 16:15 UTC · 1d agoExploit / PoC in the wild 4 sources CVE-2026-39364 CVE-2025-30208 CVE-2025-31125+1 CVEs1

Decomposition-Guided Diffusion Language Models for Inertial Confinement Fusion Prediction

ICF-DLM, the first language-model-based inertial confinement fusion predictor, cuts peak-timing error from 11.6 to 9.2 steps versus LLaMA-3-8B.

Each National Ignition Facility shot costs roughly one million dollars, motivating accurate AI surrogates for predicting 512-step neutron-rate waveforms from laser pulses and target parameters. ICF-DLM combines physics-typed decomposition into yield, peak timing, and local waveform; bidirectional denoising that defers commitment to peak location; and a physics-driven PPO reward. On ICFBench (50,000 simulations plus 232 experimental shots) it outperforms a matched autoregressive LLaMA-3-8B, classical sequence models, and LLM-based time-series predictors.

arXiv cs.AI / cs.LG / cs.CLSep 7, 17:00 UTC · 8d agoAI research

F5 Bot Defense uses real-time risk scoring to detect fraud and abuse

F5 enhances Distributed Cloud Bot Defense with persistent device identification, real-time risk scoring, and agent-aware policies to manage AI agent traffic.

F5 announced enhancements to Distributed Cloud Bot Defense adding persistent device identification, real-time device risk scoring, risk-based workflow enforcement, and an agent-aware policy framework integrated with the F5 Application Delivery and Security Platform. The features aim to expose multi-account abuse, credential stuffing, and account takeover while allowing trusted AI agents to transact at machine speed. It targets fraud and abuse detection as agentic AI becomes a key interaction channel for sites, apps, and APIs.

Help Net SecuritySep 15, 13:55 UTC · 19h agoTools

Introducing context-aware vulnerability discovery and remediation with Cloudflare Managed Defense and OpenAI Daybreak models

Cloudflare launches invitation-only Vulnerability Discovery and Remediation within Managed Defense, using OpenAI Daybreak models and WAF context to prioritize and patch vulnerabilities.

Cloudflare announced early access to Vulnerability Discovery and Remediation, an invitation-only service within Cloudflare Managed Defense. The service uses OpenAI Daybreak models, including GPT-5.6 Cyber, via the Daybreak Defense Network to hunt and validate vulnerabilities in customer-authorized codebases across Workers and proxied applications. Findings are prioritized using production traffic, WAF rule, and security event context, and proposed patches and WAF mitigations are automatically checked before customer review.

Cloudflare BlogSep 3, 21:03 UTC · 12d agoTools

Stack buffer overflow in WAD

FortiOS explicit proxy WAD daemon stack buffer overflow (CVSS 5.1) allows code execution only with Kerberos and SOCKS configured.

Fortinet advisory FG-IR-26-161 describes a stack-based buffer overflow (CWE-121) in the WAD daemon of FortiOS explicit proxy, scored CVSSv3 5.1. Exploitation requires an attacker able to bypass stack protection and ASLR, and the explicit proxy must be configured with Kerberos authentication and SOCKS enabled. If successful, it yields arbitrary code or command execution in the WAD daemon context via crafted sockets. No exploitation is reported in the advisory.

Fortinet PSIRTAug 12, 07:00 UTC · Aug 12, 2026Advisory

$536 and 8 Hours: AI Learns to Attack a Different PLC

Forescout used Claude to port a WAGO PLC exploit for $536 in 8 hours, and an AI-generated payload later permanently bricked the test device.

Forescout researchers used Claude Code with Ghidra, terminal access, and physical hardware to port CVE-2021-31886, a pre-authentication buffer overflow in the Nucleus FTP server, from a WAGO 750-852 PLC to the WAGO 750-831 without source code or debugger access. The final RCE development stage cost $535.74 in API fees over an 8-hour, 32-minute session (2.6k input and 1.3M output tokens) and required heavy researcher guidance. Claude produced working ICMP and UDP beacon exploits in 12 minutes after identifying that normal FTP command completion was overwriting its shellcode, fixed by omitting the CRLF terminator. A follow-up session extending the payloads toward a C2 implant wrote to flash-mapped memory and permanently bricked the PLC, underscoring the risks of autonomous agents operating against physical infrastructure.

Security AffairsSep 2, 13:50 UTC · 13d agoResearch CVE-2021-318861

Researchers Use Claude to Port Pre-Auth RCE Exploit From One PLC Model to Another

Forescout used Anthropic's Claude to port a working pre-auth RCE exploit for CVE-2021-31886 between WAGO PLCs, executing ARM shellcode on live hardware.

Forescout Vedere Labs used Claude interactively to port an RCE exploit for CVE-2021-31886, a CVSS 9.8 stack buffer overflow in the Nucleus FTP server's USER command, from a WAGO 750-852 to a WAGO 750-831 PLC, running attacker-supplied ARM shellcode. The final RCE stage cost $535.74 in API usage over 8 hours 32 minutes, and a follow-up attempt to build a C2 implant permanently bricked the device. CERT@VDE lists many Nucleus V1-based WAGO models as vulnerable with no updates available; Siemens plans no Nucleus NET remediation. The work follows a joint NSA/CISA/FBI/DOE/EPA advisory warning of AI-generated exploitation scripts targeting internet-exposed Siemens S7 PLCs.

The Hacker NewsSep 2, 07:47 UTC · 14d agoResearch CVE-2021-318862

[AINews] Fal’s H3 Max Live breaks the infinite videogen barrier

Fal post-trained MiniMax H3 into a 'Max' variant with 35x-faster inference, enabling faster-than-realtime AI video generation and infinite streams.

Fal post-trained MiniMax's H3 model into a 'Max' variant and optimized it for its in-house inference engine, achieving roughly 35x the speed of the official endpoint. The optimization enables faster-than-realtime video generation, demonstrated by an infinite interactive AI-generated stream productized by levels.io. The roundup also notes Meta Muse Code's general availability with an SDK, open DeepSeek-V4-Flash-Vision-Exp weights, GLM-5.3-Flash's strong agentic cost/performance rankings, and Tencent's 770B-parameter Hy4 Preview MoE with 49B active parameters.

Latent SpaceSep 1, 04:36 UTC · 15d agoAI industry

dealignai/GLM-5.3-CYBERSECURITY-FP8 — new model trending #13 on Hugging Face

dealignai releases GLM-5.3-CYBERSECURITY-FP8, a 753B MoE weight-modified variant cutting refusals on offensive-security prompts, trending #13.

dealignai released GLM-5.3-CYBERSECURITY-FP8 on Hugging Face, a cybersecurity-domain 'crack' of the 753B-parameter GLM-5.3 MoE model, currently trending #13. The release directly edits bf16 residual writers, keeps FP8 routed experts, and serves with stock vLLM on 8x H200 GPUs with 131k context. HarmBench-320 evaluations show 80-84% direct harm compliance and 89% cyber-offense compliance, while MMLU rose 1.07 points to 86.65%. Copyright-verbatim reproduction remains a known soft-refusal limitation, with an UNCENSORED sibling variant offered.

Hugging Face trending modelsAug 30, 10:46 UTC · 16d agoModel release

F5 security advisory (AV26-878)

Canada's Cyber Centre relayed an F5 advisory (AV26-878) covering vulnerabilities in BIG-IP, BIG-IQ, NGINX components, and APM clients.

The Canadian Centre for Cyber Security published advisory AV26-878 noting F5 vulnerabilities affecting BIG-IP all modules prior to 17.1.3.4, 17.5.1.8, 21.0.0.3, and 21.1.0.1, plus BIG-IQ prior to 8.4.2.1, NGINX Gateway Fabric, NGINX Ingress Controller, NGINX JavaScript 9.9, and APM clients. F5 issued an out-of-band security notification (K000162872) on September 2, 2026. Administrators are encouraged to review the linked advisory and apply updates as they become available.

Canadian Centre for Cyber SecuritySep 3, 14:05 UTC · 12d agoAdvisory

F5 enhances AI Gateway to control AI costs, access, and security

F5 integrated AI Gateway into its AI Security Platform, adding model routing, MCP governance, and guardrails, claiming up to 60% token spend reduction.

F5 announced AI Gateway enhancements combining a Model Gateway for cost optimization, an MCP Gateway for agent-to-tool access control, and AI Guardrails for prompt and response inspection. The company cited its 2026 State of Application Strategy Report finding 77% of organizations now treat inference as their dominant AI activity and manage an average of seven AI models. F5 claims smart routing, semantic caching, and GPU-aware load balancing can cut token spend by up to 60% without application changes. The gateway enforces budgets, model routing policies, and agent access controls centrally across SaaS, hybrid SaaS, and hybrid multicloud deployments, with air-gapped support planned.

Help Net SecurityAug 19, 00:00 UTC · 28d agoAI tools & infra

How Fragile Is Safety Alignment at Frontier Scale? A Single-Direction Attack on a 320B MoE

Researchers show directional ablation breaks refusal in GLM-5.3-Flash, a 320B-parameter MoE, cutting refusal by 41–89 points across seven benchmarks.

The study extends directional ablation, a white-box attack that removes an aligned LLM's refusal behavior, from dense models up to ~70B parameters to GLM-5.3-Flash, a 320B-parameter mixture-of-experts model with 288 routed experts, four-wide hyper-connection residual, and block-FP8 quantization. Editing attention, dense, and routed-expert writers jointly removes 0.776 of refusal, with 74% of the effect existing only under the joint intervention; the conventional module-name-based recipe reaches only 0.066 and fails silently on MoE architectures. The attack yields 41–89 percentage-point reductions in refusal across seven harmful benchmarks with no detected capability change, and a category-concentrated refusal residue survives all edits at ranks 1 to 12.

arXiv cs.CRSep 9, 06:48 UTC · 7d agoAI safety & security

PaperCut Zero-Day: Active Exploitation and Pre-Auth RCE

PaperCut NG/MF hit by a pre-auth RCE zero-day under active exploitation; Huntress reproduced the chain and urged immediate patching.

Huntress reports active exploitation of a zero-day in PaperCut NG and PaperCut MF, and says it reproduced a pre-authentication remote code execution chain. The flaw allows unauthenticated attackers to execute code on exposed PaperCut servers. Huntress published urgent patching, exposure-reduction, and detection guidance. No CVE identifier was provided in the announcement.

HuntressAug 28, 03:00 UTC · 19d agoExploit / PoC in the wild

ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF — new model trending #3 on Hugging Face

ISTA-DASLab releases GSQ-RCO non-uniform GGUF quantizations of Qwen3.8-27B down to 2.5 bpw, with task-lossless IQ3_S matching BF16 benchmark scores.

ISTA-DASLab released GGUF quantizations of Qwen3.8-27B produced with GSQ (Gumbel-Softmax Quantization) and RCO (Riemannian Constrained Optimization), non-uniform methods that allocate per-tensor precision via gradient-based search under a total size budget. Four checkpoints range from 2.50 bpw (8.4 GB) to 3.50 bpw (11.8 GB), plus a BF16 vision projector (mmproj) enabling multimodal use. The recommended IQ3_S build is task-lossless, matching the BF16 base exactly on AIME25 (100.00) and LiveCodeBench v6 (85.71) at roughly one fifth of the BF16 size. Optional -mtp variants add a Multi-Token Prediction head for speculative decoding in llama.cpp.

Hugging Face trending modelsAug 28, 18:38 UTC · 18d agoModel release1

Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps

Hugging Face guide fine-tunes a 350M-parameter model with 100 GRPO steps to improve structured output reliability.

A Hugging Face blog post demonstrates fine-tuning a 350M-parameter model using GRPO (Group Relative Policy Optimization) with TRL over 100 training steps. The stated goal is more reliable structured outputs from small language models. No article body was available, so details beyond the title are limited.

Hugging Face BlogSep 3, 00:00 UTC · 13d agoAI tools & infra

[0day-rubbish] Accurate Online Private Cloud on-prem (current) Unauthenticated Hessian deserialization leading to JNDI remote class loading (9.8)

0day Rubbish disclosed an unauthenticated Hessian deserialization flaw in Accurate Online Private Cloud on-prem allowing JNDI remote class loading, rated 9.8.

The 0day Rubbish Research Team publicly disclosed an unauthenticated Hessian deserialization vulnerability in the current on-premises release of Accurate Online Private Cloud. The flaw lets unauthenticated attackers trigger JNDI remote class loading, a path that typically yields remote code execution. The issue carries a CVSS 9.8 rating. No CVE identifier or evidence of in-the-wild exploitation was included in the disclosure.

Full DisclosureSep 8, 17:31 UTC · 7d agoVulnerability

Serving the most critical missions: Cloudflare for Government achieves FedRAMP Class D (High) Certified status

Cloudflare for Government earns FedRAMP Class D (High) certification and commits to pursuing DoD IL4 authorization.

Cloudflare announced that Cloudflare for Government has achieved FedRAMP Class D (High) Certified status. The company also committed to pursuing DoD IL4 authorization. The offering brings Cloudflare security, performance, and developer products to public sector missions.

Cloudflare BlogAug 10, 13:00 UTC · Aug 10, 2026Industry

XHToken/Spark-X2.5-4B-GGUF — new model trending #30 on Hugging Face

XHToken released GGUF weights of Spark-X2.5-4B, a compact model with 1M-token context and 200+ language support, under Apache 2.0.

The Hugging Face repository provides BF16 GGUF conversions of Spark-X2.5-4B, a compact general-purpose language model for conversation, writing, translation, reasoning, coding, tool use, and agentic workflows. The model uses a hybrid attention architecture, supports a native context length up to 1M tokens, and covers more than 200 languages. Local inference is supported through Ollama and LM Studio via an XHToken llama.cpp fork, with a --think=false flag to disable thinking mode for faster responses. Released under Apache License 2.0; it was trending #30 on Hugging Face at publication.

Hugging Face trending modelsAug 28, 11:26 UTC · 18d agoModel release

openbmb/MiniCPM5-2B-GGUF — new model trending #30 on Hugging Face

OpenBMB released MiniCPM5-2B, a dense 2B on-device model claiming open-source SOTA among 2B-class models.

OpenBMB released MiniCPM5-2B, the second model in the MiniCPM5 series following MiniCPM5-1B, as a dense 2B Transformer built for on-device and resource-constrained deployment with GGUF weights on Hugging Face. The team claims 2B-class open-source state-of-the-art performance, remaining competitive with 4B-class models in coding, mathematics, long-context understanding, tool use and agentic tasks. The release includes a tech report, GitHub repository and online demo, and is currently trending on Hugging Face.

Hugging Face trending modelsSep 5, 01:44 UTC · 11d agoModel release1

3D Point Splatting for mmWave Radar Novel View Synthesis

Researchers propose 3DPS, a differentiable point renderer for mmWave radar novel view synthesis that outperforms optical-NVS baselines by 1.7x-5.2x.

The paper introduces 3D Point Splatting (3DPS), the first differentiable point renderer for radar, derived from the solid-angle form of the radar equation with ITU-R P.2040 material models and complex phasor splatting. On six outdoor ColoRadar scenes it reaches 0.587 mean Pearson correlation on held-out range-azimuth images, between 1.7x and 5.2x the RadarSplat, Radar Fields, and DART baselines. The same optimized scene produces ADC, complex range profile, and RA outputs via standard FFT pipelines, and training takes about 3 minutes per scene on an RTX 4090.

arXiv cs.AI / cs.LG / cs.CLSep 10, 17:52 UTC · 5d agoAI research

PaperCut NG/MF vulnerabilities exploited in zero-day attacks

PaperCut warns of active zero-day exploitation chaining CVE-2026-81578 and CVE-2026-82078 for pre-auth remote code execution in NG/MF print management.

PaperCut Software confirmed attackers are chaining two vulnerabilities in PaperCut NG and MF: CVE-2026-81578, an improper access control flaw in the web management interface allowing unauthenticated configuration changes, and CVE-2026-82078, unsafe dynamic class loading in database connection utilities enabling arbitrary Java bytecode execution. Huntress reproduced a pre-authentication remote configuration takeover and full RCE chain against PaperCut NG 25.0.11.75758 and observed limited exploitation at two customers, including post-exploitation whoami and ver commands. The vendor released Emergency Patch Release 2 with additional hardening and urged restricting Application Server web access to trusted IPs. In 2023, Clop and LockBit affiliates abused CVE-2023-27350 and CVE-2023-27351 in the same software.

Help Net SecurityAug 31, 14:39 UTC · 15d agoExploit / PoC in the wildCVE-2026-81578 CVE-2026-82078 CVE-2023-27350+1 CVEs1

Jackrong/Qwopus3.8-27B-Flash-GGUF — new model trending #26 on Hugging Face

Community fine-tune Qwopus3.8-27B-Flash, built on Qwen3.8-27B, cuts agent reasoning latency with 12.8% faster decoding and 80.7% MTP acceptance.

Jackrong released Qwopus3.8-27B-Flash, a fine-tune of Qwen3.8-27B optimized for long-running agent workloads, reporting 12.8% faster decoding and 80.7% multi-token-prediction acceptance. Training used roughly 1.5 million teacher-scored SFT examples filtered to the top 10%, followed by reinforcement training with NVIDIA NeMo-RL and GSPO. The author notes an explicit trade-off: MMLU-Pro mixed-set scores are lower than the base model, and a known bug can produce incorrect Python indentation. Author-provided benchmarks have not been independently verified.

Hugging Face trending modelsSep 4, 12:43 UTC · 11d agoModel release1

ZDI-26-528: Wazuh Cluster DAPI Protocol Deserialization of Untrusted Data Remote Code Execution Vulnerability

ZDI advisory ZDI-26-528 discloses CVE-2026-28220, a CVSS 9.9 deserialization RCE in Wazuh's cluster DAPI protocol exploitable by network-adjacent attackers.

Wazuh contains a deserialization-of-untrusted-data flaw in its cluster DAPI protocol, tracked as CVE-2026-28220 with CVSS 9.9. Network-adjacent attackers can execute arbitrary code on affected installations, but must first obtain the ability to execute low-privileged code on a worker node. The vulnerability was disclosed through ZDI advisory ZDI-26-528.

ZDI Published AdvisoriesAug 11, 05:00 UTC · Aug 11, 2026Vulnerability CVE-2026-28220

Foundation Models for Generalizable Semantic and Goal-Oriented Communication

FMSGOC uses vision-language foundation model priors plus diffusion reconstruction to enable generalizable semantic communication at 0.039 bits per pixel for 6G.

FMSGOC targets generalization failures in semantic and goal-oriented communication for 6G by leveraging broad visual-linguistic foundation model priors. A vision-language model selects sparse, goal-aligned semantic anchors while a fine-tuned diffusion model performs masked completion to reconstruct images at the receiver, decoupling what to send from how to reconstruct. On CIFAR-10 it reaches 0.039 bits per pixel with cosine similarity 0.87-0.90 and 0.83-0.86 on unseen ImageNet inputs, outperforming end-to-end baselines at lower bit rates.

arXiv cs.AI / cs.LG / cs.CLSep 7, 18:12 UTC · 8d agoAI research

ZDI-26-527: Wazuh Cluster DAPI Protocol Deserialization of Untrusted Data Remote Code Execution Vulnerability

ZDI discloses CVE-2026-44901, a 9.9-rated deserialization RCE in Wazuh cluster DAPI requiring low-privileged code on a worker node.

ZDI-26-527 describes a deserialization of untrusted data flaw in Wazuh's cluster DAPI protocol allowing network-adjacent attackers to execute arbitrary code. Exploitation requires the attacker to first obtain low-privileged code execution on a worker node. ZDI assigned a CVSS score of 9.9, and the flaw is tracked as CVE-2026-44901.

ZDI Published AdvisoriesAug 11, 05:00 UTC · Aug 11, 2026Vulnerability CVE-2026-44901