HunterAgent: Neuro-Symbolic Attack Trace Reconstruction under Anti-Forensics

Modern alert-triage systems reduce SOC burden by filtering false positives, but flagging a high-risk alert is only the start of incident response. Threat hunting requires reconstructing causal attack chains across heterogeneous, partially corrupted logs. Against APTs using anti-forensics parent-P...

ANT-2026-P2DWB2SK · mastodon · Signature-bypass

signature-bypass high CVE-2026-46349 GHSA-chgx-jx3p-rf73 Severity Claude high · Security research firm high · Maintainer - Discovered by Claude Mythos Preview REPORT Anthropic's analysis, sealed at approval. Disclosure to the maintainer was performed by Doyensec. ANT-2026-P2DWB2SK: LD-Signature...

Do Skill Descriptions Tell the Truth? Detecting Undisclosed Security Behaviors in Code-Backed LLM Skills

Programmatic skills in LLM ecosystems consist of a natural-language description and executable implementation files. Users and LLMs rely on the description to understand the skill's scope. However, the implementation may perform security-relevant operations, such as credential access, network...

Heym 安全漏洞

Heym is an open-source AI-native workflow automation platform developed by heymrun. Versions of Heym prior to 0.0.21 contained security vulnerabilities. These vulnerabilities stemmed from sandbox escape vulnerabilities in custom Python tool executors, which could allow authenticated workflow...

Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning

We define Oracle Poisoning, an attack class in which an adversary corrupts a structured knowledge graph that AI agents query at runtime via tool-use protocols, causing incorrect conclusions through correct reasoning. Unlike prompt injection, Oracle Poisoning manipulates the data agents reason ove...

Securing the Dark Matter: A Semantic-Enhanced Neuro-Symbolic Framework for Supply Chain Analysis of Opaque Industrial Software

Automated vulnerability detection in critical-infrastructure software confronts a fundamental barrier: industrial software is routinely deployed as stripped, symbol-free binaries that deprive conventional Software Composition Analysis of the source-level transparency it requires. Existing binary...

Evolution of Log-Based Detection Rules in Public Repositories

Log-based detection rules remain central to modern security operations, encoding domain expertise that analysts iteratively refine to balance detection coverage against alert volume. Yet while prior work has examined the evolution of network intrusion detection signatures, the longitudinal behavi...

CVE-2026-4730: Improper Neutralization of Input During Web Page Generation

The Charts Ninja: Create Beautiful Graphs & Charts and Easily Add Them to Your Website plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'chartid' shortcode attribute in all versions up to, and including, 2.1.0 due to insufficient input sanitization and output escaping. Th...

Stable Agentic Control: Tool-Mediated LLM Architecture for Autonomous Cyber Defense

Agentic systems involved in high-stake decision-making under adversarial pressure need formal guarantees not offered by existing approaches. Motivated by the operational needs of security operations centers SOCs that must configure endpoint detection and response EDR policies under adversarial...

Phishing Detection in Ethereum Via Temporal Graph Contrastive Learning

Blockchain and decentralized finance have revolutionized the financial ecosystem while simultaneously exposing it to cryptocurrency phishing attacks. Existing phishing detection methods primarily rely on graph learning, but they face significant limitations. Static graph learning approaches fail ...

Static Attribution of Android Residential Proxy Malware Using Graph Kernels

Android residential proxy applications represent a growing class of potentially-unwanted programs PUPs that covertly route third-party traffic through end-user devices, enabling ad fraud, credential abuse, and evasion of geolocation controls by sophisticated threat actors. Attributing an unknown...

From CRUD to Autonomous Agents: Formal Validation and Zero-Trust Security for Semantic Gateways in AI-Native Enterprise Systems

Enterprise software engineering is shifting away from deterministic CRUD/REST architectures toward AI-native systems where large language models act as cognitive orchestrators. This transition introduces a critical security tension: probabilistic LLMs weaken classical mechanisms for validation,...

[SECURITY] Fedora 44 Update: qt6-qtgraphs-6.10.3-1.fc44

The Qt Graphs module enables you to visualize data in 3D as bar, scatter, and surface graphs. It's especially useful for visualizing depth maps and large quantities of rapidly changing data, such as data received from multiple sensors. The look and feel of graphs can be customized by using themes...

Insufficient Granularity of Access Control

Overview Affected versions of this package are vulnerable to Insufficient Granularity of Access Control in the asset dependency graph. An attacker can gain unauthorized access to the existence and names of DAGs and assets outside their authorized scope by leveraging read access to at least one DA...

Apache Airflow 安全漏洞

Apache Airflow is an open-source platform developed by the Apache Foundation in the United States. It allows for the creation, management, and monitoring of workflows. This platform features scalability and dynamic monitoring capabilities. There is a security vulnerability in Apache Airflow, whic...

Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs

Transformer-based malware detection systems operating on graph modalities such as control flow graphs CFGs achieve strong performance by modeling structural relationships in program behavior. However, their robustness to adversarial evasion attacks remains underexplored. This paper examines the...

ContractShield: Bridging Semantic-Structural Gaps Via Hierarchical Cross-Modal Fusion for Multi-Label Vulnerability Detection in Obfuscated Smart Contracts

Smart contracts are increasingly targeted by adversaries employing obfuscation techniques such as bogus code injection and control flow manipulation to evade vulnerability detection. Existing multimodal methods often process semantic, temporal, and structural features in isolation and fuse them...

CVE-2026-33045 Home Assistant has stored XSS in history-graphs

Home Assistant is open source home automation software that puts local control and privacy first. Starting in version 2025.02 and prior to version 2026.01 the "remaining charge time"-sensor for mobile phones imported/included from Android Auto it appears is vulnerable cross-site scripting, simila...

CVE-2026-33045 Home Assistant has stored XSS in history-graphs

Home Assistant is open source home automation software that puts local control and privacy first. Starting in version 2025.02 and prior to version 2026.01 the "remaining charge time"-sensor for mobile phones imported/included from Android Auto it appears is vulnerable cross-site scripting, simila...

CVE-2026-33045

Home Assistant CVE-2026-33045 is a stored XSS vulnerability in the Energy dashboard triggered by an energy entity name. Affected versions are 2025.02 through 2026.00.x (prior to 2026.01); it is fixed in 2026.01. The issue arises when entity names containing HTML are rendered in graph tooltips, en...