EUVD-2026-21138

OpenClaw before 2026.3.25 contains an authorization bypass vulnerability where group reaction events bypass the requireMention access control mechanism. Attackers can trigger reactions in mention-gated groups to enqueue agent-visible system events that should remain restricted...

CVE-2026-35642

OpenClaw before 2026.3.25 contains an authorization bypass vulnerability where group reaction events bypass the requireMention access control mechanism. Attackers can trigger reactions in mention-gated groups to enqueue agent-visible system events that should remain restricted...

CVE-2026-35642

Technical details (affected components, root cause specifics, impacted versions, or exploits) are not publicly available in the supplied documents. Monitor for updates in connected advisories.

CVE-2026-35642 OpenClaw < 2026.3.25 - Authorization Bypass in Group Reactions via requireMention Bypass

OpenClaw before 2026.3.25 contains an authorization bypass vulnerability where group reaction events bypass the requireMention access control mechanism. Attackers can trigger reactions in mention-gated groups to enqueue agent-visible system events that should remain restricted...

EUVD-2026-15177

The issue was addressed with improved checks. This issue is fixed in iOS 26.4 and iPadOS 26.4. An attacker with physical access to an iOS device with Stolen Device Protection enabled may be able to access biometrics-gated Protected Apps with the passcode...

CVE-2026-28895

The issue was addressed with improved checks. This issue is fixed in iOS 26.4 and iPadOS 26.4. An attacker with physical access to an iOS device with Stolen Device Protection enabled may be able to access biometrics-gated Protected Apps with the passcode...

CVE-2026-28895

The CVE-2026-28895 entry is confirmed by connected documents: iOS 26.4 and iPadOS 26.4 fix the issue. Attacker with physical access on a device with Stolen Device Protection enabled could access biometrics-gated Protected Apps using the passcode. Root cause is described as improved checks, with r...

CVE-2026-28895

The issue was addressed with improved checks. This issue is fixed in iOS 26.4 and iPadOS 26.4. An attacker with physical access to an iOS device with Stolen Device Protection enabled may be able to access biometrics-gated Protected Apps with the passcode...

CVE-2026-33479

WWBN AVideo is an open source video platform. In versions up to and including 26.0, the Gallery plugin's saveSort.json.php endpoint passes unsanitized user input from $REQUEST'sections' array values directly into PHP's eval function. While the endpoint is gated behind User::isAdmin, it has no CSR...

SCAFFOLD-CEGIS: Preventing Latent Security Degradation in LLM-Driven Iterative Code Refinement

The application of large language models to code generation has evolved from one-shot generation to iterative refinement, yet the evolution of security throughout iteration remains insufficiently understood. Through comparative experiments on three mainstream LLMs, this paper reveals the iterativ...

CVE-2026-28391 OpenClaw < 2026.2.2 - Command Injection via cmd.exe Parsing Bypass in Allowlist Enforcement

OpenClaw versions prior to 2026.2.2 fail to properly validate Windows cmd.exe metacharacters in allowlist-gated exec requests non-default configuration, allowing attackers to bypass command approval restrictions. Remote attackers can craft command strings with shell metacharacters like & or %...%...

The Post-RAMP Era: Allegations, Fragmentation, and the Rebuilding of the Ransomware Underground

Executive summary The January 2026 seizure of RAMP disrupted a major ransomware coordination hub, but it did not dismantle the ecosystem behind it. Instead, it destabilized trust and accelerated fragmentation across the underground. Rather than consolidating around a single successor, ransomware...

DF-LoGiT: Data-Free Logic-Gated Backdoor Attacks in Vision Transformers

The widespread adoption of Vision Transformers ViTs elevates supply-chain risk on third-party model hubs, where an adversary can implant backdoors into released checkpoints. Existing ViT backdoor attacks largely rely on poisoned-data training, while prior data-free attempts typically require...

MiracleLinux 4 : openssl-1.0.0-20.AXS4.3 (AXSA:2012-459:04)

The remote MiracleLinux 4 host has packages installed that are affected by multiple vulnerabilities as referenced in the AXSA:2012-459:04 advisory. The OpenSSL toolkit provides support for secure communications between machines. OpenSSL includes a certificate management tool and shared libraries...

MiracleLinux 4 : openssl-1.0.0-20.AXS4.1 (AXSA:2012-76:02)

The remote MiracleLinux 4 host has packages installed that are affected by multiple vulnerabilities as referenced in the AXSA:2012-76:02 advisory. The OpenSSL toolkit provides support for secure communications between machines. OpenSSL includes a certificate management tool and shared libraries...

Integrating Multi-Agent Simulation, Behavioral Forensics, and Trust-Aware Machine Learning for Adaptive Insider Threat Detection

We present a hybrid framework for adaptive insider-threat detection that tightly integrates multi-agent simulation MAS, layered Security Information and Event Management SIEM correlation, behavioral and communication forensics, trust-aware machine learning, and Theory-of-Mind ToM reasoning...

EUVD-2011-4542

Malware in sbrugna...

Ensembling Large Language Models for Code Vulnerability Detection: an Empirical Evaluation

Code vulnerability detection is crucial for ensuring the security and reliability of modern software systems. Recently, Large Language Models LLMs have shown promising capabilities in this domain. However, notable discrepancies in detection results often arise when analyzing identical code segmen...

Collaborative P4-SDN DDoS Detection and Mitigation with Early-Exit Neural Networks

Distributed Denial of Service DDoS attacks pose a persistent threat to network security, requiring timely and scalable mitigation strategies. In this paper, we propose a novel collaborative architecture that integrates a P4-programmable data plane with an SDN control plane to enable real-time DDo...

URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection

Malicious URL detection remains a major challenge in cybersecurity, primarily due to two factors: 1 the exponential growth of the Internet has led to an immense diversity of URLs, making generalized detection increasingly difficult; and 2 attackers are increasingly employing sophisticated...