PT-2026-47818

Name of the Vulnerable Software and Affected Versions NETGEAR affected versions not specified Description A buffer overflow occurs due to insufficient input validation of buffers. This allows authenticated administrators connected to the local network to make unauthorized modifications to the...

PT-2026-47819

Name of the Vulnerable Software and Affected Versions NETGEAR affected versions not specified Description Insufficient input validation allows authenticated administrators connected to the local network to make unauthorized modifications to router software and functionality...

ARM CPU 竞争条件问题漏洞

The ARM CPU is a series of central processing units developed by the British company ARM. The ARM CPU has a race condition vulnerability, which arises from the possibility of writing to resources with higher exception levels. The following products are affected: C1-Ultra, C1-Premium, Neoverse V3,...

NETGEAR Routers 输入验证错误漏洞

NETGEAR Routers are a series of routers produced by NETGEAR, a company in the United States. NETGEAR Routers have a vulnerability related to input validation. This vulnerability stems from insufficient input validation, which may allow administrators who have passed authentication to make...

CVE-2026-11505

CVE-2026-11505 affects GL.iNet devices (A1300, AX1800, AXT1800, MT2500, MT3000, MT6000, X3000, XE3000) running 4.8.x, due to a flaw in the glnassys component. The issue involves use of a hard-coded cryptographic key introduced or exposed via a manipulation, enabling a remote attack with high comp...

Unveiling Privacy Risks in Multi-Modal Large Language Models: Task-Specific Vulnerabilities and Mitigation Challenges

Privacy risks in text-only Large Language Models LLMs are well studied, particularly their tendency to memorize and leak sensitive information. However, Multi-modal Large Language Models MLLMs, which process both text and images, introduce unique privacy challenges that remain underexplored...

Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs

Large language models can be fine-tuned to encode prompt-borne secrets into fluent, seemingly benign outputs. This creates a steganographic exfiltration risk that is difficult to detect with output-level steganalysis. Recent work proposes mechanistic detection using linear probes that recover the...

Closing the Sim-To-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR

Leading commercial endpoint detection and response EDR products have shifted from operator-configured rule sets to multi-component systems where autonomous AI components operate alongside, and increasingly in place of, operator-deployed policies. Autonomous defense agents using commercial EDR as...

CVE-2023-46453

Certain GL.iNet devices with 4.x firmware allow authentication bypass resulting in administrative control of the device via a username that is both a valid SQL statement and a valid regular expression. For example, this affects version 4.3.7 on GL-MT3000 GL-AR300M GL-B1300 GL-AX1800 GL-AR750S...

CVE-2026-31229

A flaw was found in the Adversarial Robustness Toolbox ART, specifically within its Kubeflow component. This vulnerability, categorized as insecure deserialization CWE-502, occurs when loading model weights without proper security restrictions. A remote attacker can exploit this by uploading a...

CVE-2026-31228

A flaw was found in the Adversarial Robustness Toolbox ART, specifically within its Kubeflow component. The robustness evaluation function for PyTorch models uses the eval function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters without proper sanitization. A...

CVE-2026-31239

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

CVE-2025-9661

OS command injection vulneravility in the management gui maintenance utility of Hitachi Virtual Storage Platform One Block 23, 24, 26 and 28. This issue affects Hitachi Virtual Storage Platform One Block 23/24/26/28: before DKCMAIN A3-04-21-40/00, ESM A3-04-21/00...

CVE-2026-35905

T3 Technology CPE models T625Pro v1.0.07, T6825G v1.0.03, and T7281 v1.0.03 were discovered to contain a hardcoded password for root access under the "superadmin" account...

CVE-2026-7147

A vulnerability was detected in JoeCastrom mcp-chat-studio up to 1.5.0. Affected by this issue is some unknown functionality of the file server/routes/llm.js of the component LLM Models API. Performing a manipulation of the argument req.query.baseurl results in server-side request forgery. Remote...

CVE-2026-44562

Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.0, the POST /api/v1/models/import endpoint allows users with the workspace.modelsimport permission to overwrite any existing model in the database, regardless of ownership. When an...

CVE-2026-45006

OpenClaw before 2026.4.23 contains an improper access control vulnerability in the gateway tool's config.apply and config.patch operations that allows compromised models to write unsafe configuration changes by bypassing an incomplete denylist protection. Attackers can persist malicious config...

CVE-2026-35087

Slican telephone exchanges allow administrative protocol authentication bypass. An attacker can bypass the need to enter login credentials by executing the appropriate command. This issue was fixed in versions below: - NCP: version 1.24.0250 - IPx series: version 6.61.0040 - CCT-1668: version...

Only 10% of SOCs Say They’re Getting Excellent Value From AI. Here’s What the Second Wave Has to Deliver

Eighteen months ago, the AI SOC was a marketing line. Today it's a budget item. The category has crossed over from interesting to inevitable, with billions of dollars now flowing into AI-powered security operations platforms, agentic SOC tools, and AI co-pilots built into every layer of the...

Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography

The transition to post-quantum cryptography PQC requires not only replacing vulnerable cryptographic primitives, but also refactoring the surrounding software logic. While existing PQC migration frameworks provide organizational guidance, practical code-level remediation remains largely manual an...