Linux Distros Unpatched Vulnerability : CVE-2021-1236

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Multiple Cisco products are affected by a vulnerability in the Snort application detection engine that could allow an unauthenticated, remote attacker to bypass...

Huawei EulerOS: Security Advisory for golang (EulerOS-SA-2025-2097)

The remote host is missing an update for the Huawei EulerOS SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

Linux Distros Unpatched Vulnerability : CVE-2021-1494

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Multiple Cisco products are affected by a vulnerability in the Snort detection engine that could allow an unauthenticated, remote attacker to bypass a configure...

Linux Distros Unpatched Vulnerability : CVE-2020-3315

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Multiple Cisco products are affected by a vulnerability in the Snort detection engine that could allow an unauthenticated, remote attacker to bypass the...

[Webinar] Shadow AI Agents Multiply Fast — Learn How to Detect and Control Them

⚠️ One click is all it takes. An engineer spins up an "experimental" AI Agent to test a workflow. A business unit connects to automate reporting. A cloud platform quietly enables a new agent behind the scenes. Individually, they look harmless. But together, they form an invisible swarm of Shadow A...

SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection against Adversarial Attacks

The rapid proliferation of the Internet of Things IoT continues to expose critical security vulnerabilities, necessitating the development of efficient and robust intrusion detection systems IDS. Machine learning-based intrusion detection systems ML-IDS have significantly improved threat detectio...

Exploit for Deserialization of Untrusted Data in Apache Activemq

Project-Vuln-Detection-N-Mitigation101 Apache ActiveMQ D...

When You’re Always Under #DDoS Attack

We recently mitigated a 1.55 terabit per second Tbps, DDoS attack for a steady customer of ours. This particular customer is a reputable domain name service DNS provider. I’ve personally used them for over a decade to register domains for all the projects I will never complete or, tbh, start. But...

Exploit for Authentication Bypass Using an Alternate Path or Channel in Sangoma Freepbx

CVE-2025-57819 FreePBX Pre-Auth RCE FreePBX Pre-Auth RCE 1day...

RLSA-2025:14573 Important: aide security update

Advanced Intrusion Detection Environment AIDE is a utility that creates a database of files on the system, and then uses that database to ensure file integrity and detect system intrusions. Security Fixes: aide: improper output neutralization enables bypassing CVE-2025-54389 For more details abou...

An Ethically Grounded LLM-Based Approach to Insider Threat Synthesis and Detection

Insider threats are a growing organizational problem due to the complexity of identifying their technical and behavioral elements. A large research body is dedicated to the study of insider threats from technological, psychological, and educational perspectives. However, research in this domain h...

A Simple Data Exfiltration Game

Data exfiltration is a growing problem for business who face costs related to the loss of confidential data as well as potential extortion. This work presents a simple game theoretic model of network data exfiltration. In the model, the attacker chooses the exfiltration route and speed, and the...

Breaking SafetyCore: Exploring the Risks of On-Device AI Deployment

Due to hardware and software improvements, an increasing number of AI models are deployed on-device. This shift enhances privacy and reduces latency, but also introduces security risks distinct from traditional software. In this article, we examine these risks through the real-world case study of...

All You Need Is a Fuzzing Brain: an LLM-Powered System for Automated Vulnerability Detection and Patching

Our team, All You Need Is A Fuzzing Brain, was one of seven finalists in DARPA's Artificial Intelligence Cyber Challenge AIxCC, placing fourth in the final round. During the competition, we developed a Cyber Reasoning System CRS that autonomously discovered 28 security vulnerabilities - including...

Contrastive Self-Supervised Network Intrusion Detection Using Augmented Negative Pairs

Network intrusion detection remains a critical challenge in cybersecurity. While supervised machine learning models achieve state-of-the-art performance, their reliance on large labelled datasets makes them impractical for many real-world applications. Anomaly detection methods, which train...

Unbreakable Enterprise kernel security update

5.15.0-312.187.5 - Revert 'mm: hugetlb: independent PMD page table shared count' Harshit Mogalapalli Orabug: 38327655 5.15.0-312.187.4 - rds: Fix NULL ptr deref in xasstart Hakon Bugge Orabug: 38166374 - KVM: x86: use arrayindexnospec with indices that come from guest Thijs Raymakers Orabug:...

Silent Pivot: Detecting Fileless Lateral Movement via Service Manager with Trellix NDR

Silent Pivot: Detecting Fileless Lateral Movement via Service Manager with Trellix NDR By Maulik Maheta and Lishoy Mathew · September 8, 2025 Executive summary The tactics of cyber adversaries continue to evolve as they attempt to bypass security vendors. Rather than traditional malware, today’s...

ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection

Network log data analysis plays a critical role in detecting security threats and operational anomalies. Traditional log analysis methods for anomaly detection and root cause analysis rely heavily on expert knowledge or fully supervised learning models, both of which require extensive labeled dat...

Exploit for Deserialization of Untrusted Data in Siemens 6Bk1602-0Aa12-0Tp0_Firmware

This repository contains operational information regarding the vulnerability in the Log4j logging library CVE-2021-44228. The vulnerability allows an attacker to execute arbitrary code on a system by injecting malicious data into the logging system. The repository provides a list of known...

Exploit for Deserialization of Untrusted Data in Siemens 6Bk1602-0Aa12-0Tp0_Firmware

This repository is an operational information repository regarding the vulnerability in the Log4j logging library CVE-2021-44228. It contains information on Indicators of Compromise IoCs, detection rules, and scanning software related to the vulnerability. The repository is maintained by the...