kernel: net/sched: cls_u32: use skb_header_pointer_careful()

In the Linux kernel, the following vulnerability has been resolved: net/sched: clsu32: use skbheaderpointercareful skbheaderpointer does not fully validate negative @offset values. Use skbheaderpointercareful instead. GangMin Kim provided a report and a repro fooling u32classify: BUG: KASAN:...

CVE-2026-31421 net/sched: cls_fw: fix NULL pointer dereference on shared blocks

In the Linux kernel, the following vulnerability has been resolved: net/sched: clsfw: fix NULL pointer dereference on shared blocks The old-method path in fwclassify calls tcfblockq and dereferences q-handle. Shared blocks leave block-q NULL, causing a NULL deref when an empty clsfw filter is...

sigma-audit

Sigma Stack Audit Full-spectrum security audit combining five...

SUSE-SU-2026:1287-1 Security update for the Linux Kernel (Live Patch 70 for SUSE Linux Enterprise 12 SP5)

This update for the SUSE Linux Enterprise Kernel 4.12.14-122.266 fixes various security issues The following security issues were fixed: - CVE-2023-53794: cifs: fix session state check in reconnect to avoid use-after-free issue bsc1255235. - CVE-2025-39973: i40e: add validation for ringlen param...

Machine Learning-Based Detection of MCP Attacks

The Model Context Protocol MCP is a new and emerging technology that extends the functionality of large language models, improving workflows but also exposing users to a new attack surface. Several studies have highlighted related security flaws, but MCP attack detection remains underexplored. To...

Automated Malware Family Classification Using Weighted Hierarchical Ensembles of Large Language Models

Malware family classification remains a challenging task in automated malware analysis, particularly in real-world settings characterized by obfuscation, packing, and rapidly evolving threats. Existing machine learning and deep learning approaches typically depend on labeled datasets, handcrafted...

kernel: net/sched: cls_u32: use skb_header_pointer_careful()

In the Linux kernel, the following vulnerability has been resolved: net/sched: clsu32: use skbheaderpointercareful skbheaderpointer does not fully validate negative @offset values. Use skbheaderpointercareful instead. GangMin Kim provided a report and a repro fooling u32classify: BUG: KASAN:...

PT-2026-29119

Name of the Vulnerable Software and Affected Versions SakaDev affected versions not specified Description SakaDev’s automatic terminal command execution feature, designed with ‘safe’ and ‘all commands’ options, is prone to prompt injection attacks. The system aims to automatically execute command...

Context-Aware Phishing Email Detection Using Machine Learning and NLP

Phishing attacks remain among the most prevalent cybersecurity threats, causing significant financial losses for individuals and organizations worldwide. This paper presents a machine learning-based phishing email detection system that analyzes email body content using natural language processing...

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

Large language models LLMs increasingly rely on explicit chain-of-thought CoT reasoning to solve complex tasks, yet the safety of the reasoning process itself remains largely unaddressed. Existing work on LLM safety focuses on content safety--detecting harmful, biased, or factually incorrect...

AWS VDP: Encryption context keys and values logged at INFO level

Component: cmd/server/main.go:101-106 Affected Version: aws-encryption-provider @ 4341c70 all versions Found by: Source audit TLP: TLP:Amber --- Summary The server startup code logs all encryption context key-value pairs at INFO level. Encryption context is metadata associated with KMS operations...

Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning

The use of ML in cybersecurity has long been impaired by generalization issues: Models that work well in controlled scenarios fail to maintain performance in production. The root cause often lies in ML algorithms learning superficial patterns shortcuts rather than underlying cybersecurity concept...

nah Claude Code Tool

Claude Code's permission system is allow-or-deny per tool, but that doesn't really scale. Deleting some files is fine sometimes. And git checkout is sometimes catastrophic. Even when you curate permissions, 200 IQ Opus can find a way around it. Maintaining a deny list is a fool’s errand. What's...

Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape

The expansion of Internet of Things IoT devices has increased the attack surface of networks, necessitating a robust and adaptive intrusion detection systems. Machine learning based systems have been considered promising in enhancing the detection performance. Federated learning settings enabled ...

VoiceSHIELD-Small: Real-Time Malicious Speech Detection and Transcription

Voice interfaces are quickly becoming a common way for people to interact with AI systems. This also brings new security risks, such as prompt injection, social engineering, and harmful voice commands. Traditional security methods rely on converting speech to text and then filtering that text,...

Exploit for Cross-site Scripting in Bdtask Multi_Store_Inventory_Management_System

CVE-2024-2997 Scanner !Versionhttps://img.shields.io/badge...

GHSA-H97F-6PQJ-Q452 OpenClaw has a IPv6 multicast SSRF classifier bypass

Summary OpenClaw's SSRF IP classifier did not treat IPv6 multicast literals ff00::/8 as blocked/private-internal. This allowed literal multicast hosts to pass SSRF preflight checks. Impact A bypass in address classification existed for IPv6 multicast literals. OpenClaw's network fetch/navigation...

Server-side Request Forgery (SSRF)

Overview openclaw is a 🦞 OpenClaw — Personal AI Assistant Affected versions of this package are vulnerable to Server-side Request Forgery SSRF via the SSRF IP classification. An attacker can access unintended network resources by supplying IPv6 multicast addresses that bypass address classificati...

PT-2026-25463

Summary OpenClaw's SSRF IP classifier did not treat IPv6 multicast literals ff00::/8 as blocked/private-internal. This allowed literal multicast hosts to pass SSRF preflight checks. Impact A bypass in address classification existed for IPv6 multicast literals. OpenClaw's network fetch/navigation...

OpenClaw: Unicode canonicalization drift in node metadata policy classification could broaden node allowlists

Summary A paired node could supply Unicode-confusable platform or deviceFamily metadata that passed metadata pinning but classified differently for command policy resolution, broadening default node command allowlists. Impact This is a policy-bypass issue within the paired-node trust boundary and...