detection-rules dev-v2.2.0

Detection Rules Detection Rules is the home for rules used by Elastic Security. This repository is used for the development, maintenance, testing, validation, and release of rules for Elastic Security’s Detection Engine. This repository was first announced on Elastic's blog post, Elastic Security...

GraySentinel-DSOU-45Day-2026

GraySentinel DSOU — Day 1: The Zero-Day Discovery Blue Team...

net/http: golang: Go net/http: Unencrypted HTTP/2 connections vulnerable to Denial of Service

A flaw was found in the net/http component of the Go standard library. When a server is configured to support unencrypted HTTP/2, it reads initial bytes from new connections to detect the HTTP/2 client preface. However, the ReadHeaderTimeout is not correctly applied during this process. This...

CVE-2026-86081

creationtimestamp| type| source ---|---|--- 2026-09-09 10:57:05+00:00| seen| https://www.acn.gov.it/portale/w/rilevate-vulnerabilita-in-n8n-7...

CVE-2026-86075

creationtimestamp| type| source ---|---|--- 2026-09-09 10:56:59+00:00| seen| https://www.acn.gov.it/portale/w/rilevate-vulnerabilita-in-n8n-7 2026-09-12 14:07:09+00:00| seen| https://bsky.app/profile/cyberhub.blog/post/3mvdavovp6c25...

nerva v1.69.6

Nerva Nerva: Fast Service Fingerprinting CLI Features • Installation • Quick Start • Usage • Protocols • Library • Use Cases • Troubleshooting High-performance service fingerprinting written in Go. Identify 170+ network protocols across TCP, UDP, and SCTP transports with rich metadata extraction...

Temporal and Multimodal Deep Learning for Cyberattack Detection in LEO Satellite Systems

The growing reliance on Low-Earth Orbit LEO satellite communication systems has increased the need for intelligent methods capable of detecting cyberattacks across complex and dynamic space environments. Unlike conventional network intrusion detection, satellite systems generate heterogeneous...

No-Box Vulnerability Analysis: Description-Only Detection of Indirect Prompt Injection Vulnerabilities in MCP Servers

Conventional vulnerability analysis relies on either system access or dynamic interaction, all of which may be unavailable to third-party analysts auditing closed-source, remotely hosted, critical in situ systems, or commercially gated software. Therefore, we propose a new paradigm of no-box...

PT-2026-102364

Name of the Vulnerable Software and Affected Versions PyJWT versions 2.13.0 through 2.13.x Description An issue exists in the HMACAlgorithm.prepare key function within jwt/algorithms.py where the raw-JWK detector fails to normalize Unicode byte-order marks BOM before JSON validation. When a publi...

DriftNet: A Dual-Head Trajectory Transformer for Detecting and Localizing Prompt Injection in LLM Agents

When an indirect prompt injection succeeds against an LLM agent, the compromise is visible in the agent's own behavior: a benign prefix of tool calls, a poisoned observation, and a suffix of actions that serve the attacker. An operator needs three facts: where the attack entered, which steps it...

An Empirical Analysis of ReDoS Vulnerabilities and ReDoS Detection Tools

ReDoS vulnerabilities are a type of denial of service software weakness that occurs when a regex is used to validate user-supplied input. In some cases, the regex matching process can take exponential time, leading to a denial of service. In this study, we examine and compare the effectiveness of...

Towards Scalable and Cost-Efficient Vulnerability Detection: A Study on Automatic Query Generation

Static analysis remains a cornerstone of software security, yet the effectiveness of tools such as CodeQL is often limited by the substantial manual effort required to develop high-coverage query suites. While large language models LLMs have emerged as a potential solution for automated code...

CVE-2026-53637 Sylius: Cart FormComponent allows modification or deletion of an already-completed order

Sylius is an Open Source eCommerce Framework on Symfony. Versions 2.0.0 through 2.0.17, 2.1.0 through 2.1.14, and 2.2.0 through 2.2.5 contain an improper workflow enforcement vulnerability in the cart FormComponent. When an order is completed while its cart page remains open, the stale...

Aegis aegis-v0.14.1-alpha

AEGIS is a desktop app for monitoring local AI agents and reviewing their files and selected actions. Inspect processes, sensitive-file observations, TCP endpoints and attribution evidence in Observatory. Monitoring requires no agent plugin; policy-controlled execution and MCP action tools requir...

SkillSpector v2.11.1

SkillSpector Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks before installing agent skills. Overview AI agent skills used by Claude Code, Codex CLI, Gemini CLI, etc. execute with implicit trust and minimal vetting. In the 31,132-skill analyzed...

CVE-2025-14208

creationtimestamp| type| source ---|---|--- 2026-09-08 10:00:03+00:00| seen| The Shadowserver honeypot/common-vulnerabilities - 2026-09-07 2026-09-08 11:00:34+00:00| exploited| https://vulnerability.circl.lu/known-exploited-vulnerabilities-catalog/12253a70-6b5a-44ad-b30d-9849e4011cb8 2026-09-09...

Watcher v3.5.3

AI-Powered Automated Cybersecurity Threat Detection Platform Watcher is a Django & React JS platform designed to discover and monitor emerging cybersecurity threats with AI-powered threat intelligence analysis. It can be deployed on webservers or quickly run via Docker. Watcher Capabilities Watch...

LLMSec-AV: A Vulnerability Taxonomy and LLM-Driven Software Weakness Discovery Framework for Autonomous Vehicles

Automated vehicles rely on millions of lines of safety-critical software, yet general-purpose analyzers do not understand which code can affect vehicle motion. This study asks whether large language models LLMs with explicit automated-vehicle AV security knowledge improve weakness detection beyon...

HoneyRoute: Honeypot-Model Routing for Adversarial LLM Serving

We introduce HoneyRoute, an inference-serving layer that detects whether an incoming request is malicious and, if so, routes it to a dedicated honeypot model, shielding production while the adversary's interaction is continuously harvested for intelligence. Existing defenses embed traps inside...

Navigating the Latent Manifold: Proactive Concept Drift Adaptation for Resilient NIDS

Network intrusion detection systems NIDS are critical for cybersecurity, safeguarding services and data from potential attacks. However, existing AI-based NIDS often assume static data distributions and fail to handle concept drift, leading to degraded performance and increased false positives in...