Talos-Apache-Log-Oversight-Scanner

Talos-Apache-Log-Oversight-Scanner Overview The Talos-Ap...

Astra Linux – Vulnerability in mbedtls

Mbed TLS before version 3.6.4 has a race condition in AESNI detection when certain compiler optimizations are applied. An attacker may be able to extract an AES key from a multithreaded program, or perform a GCM forgery...

Astra Linux – Vulnerability found in Linux 6.1, Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: net: lan743x: fixed a potential out-of-bounds write in lan743xptpioeventclockget. Before calling lan743xptpioeventclockget, the ‘channel’ value is checked against the maximum value of PCI11X1XPTPIOMAXCHANNELS8. This seems correct...

Astra Linux – Vulnerability found in Linux 6.1, Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: pinctrl: qcom: msm: Certain pins are marked as invalid for interrupts. On some platforms, the UFS-reset pin has no interrupt logic in TLMM, but it is still registered as a GPIO in the kernel. This allows the user-space to trigger...

Astra Linux – Vulnerability found in Linux 6.1, Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: In the net subsystem, hsr: rejecting HSR frames if skb cannot hold the tag. Receiving an HSR frame with insufficient space to hold the HSR tag in the skb can result in a crash kernel bug. 45.390915 skbuff: skbunderpanic:...

Astra Linux – Vulnerability found in Linux 6.12, Linux 6.1

In the Linux kernel, the following vulnerability has been resolved: EDAC/skxcommon: Fixed the general protection fault. After loading i10nmedac which automatically loads skxedaccommon, if only i10nmedac is unloaded, then reloading it and performing error injection testing may cause a general...

Meta-Learning Based Radio Frequency Fingerprinting for GNSS Spoofing Detection

The rapid development of technology has led to an increase in the number of devices that rely on position, velocity, and time PVT information to perform their functions. As such, the Global Navigation Satellite Systems GNSS have been adopted as one of the most promising solutions to provide PVT...

An Efficient Anomaly Detection Framework for Wireless Sensor Networks Using Markov Process

Wireless Sensor Networks forms the backbone of modern cyber physical systems used in various applications such as environmental monitoring, healthcare monitoring, industrial automation, and smart infrastructure. Ensuring the reliability of data collected through these networks is essential as the...

Penetrating the Hostile: Detecting DeFi Protocol Exploits through Cross-Contract Analysis

Decentralized finance DeFi protocols are crypto projects developed on the blockchain to manage digital assets. Attacks on DeFi have been frequent and have resulted in losses exceeding $80 billion. Current tools detect and locate possible vulnerabilities in contracts by analyzing the state changes...

CVE-2018-11654

creationtimestamp| type| source ---|---|--- 2025-10-31 21:02:36+00:00| seen| https://bsky.app/profile/beikokucyber.bsky.social/post/3m4jerle7tp2b...

MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection

High-quality data scarcity hinders malware detection, limiting ML performance. We introduce MalDataGen, an open-source modular framework for generating high-fidelity synthetic tabular data using modular deep learning models e.g., WGAN-GP, VQ-VAE. Evaluated via dual validation TR-TS/TS-TR, seven...

On Selecting Few-Shot Examples for LLM-Based Code Vulnerability Detection

Large language models LLMs have demonstrated impressive capabilities for many coding tasks, including summarization, translation, completion, and code generation. However, detecting code vulnerabilities remains a challenging task for LLMs. An effective way to improve LLM performance is in-context...

Coordinated Position Falsification Attacks and Countermeasures for Location-Based Services

With the rise of location-based service LBS applications that rely on terrestrial and satellite infrastructures e.g., GNSS and crowd-sourced Wi-Fi, Bluetooth, cellular, and IP databases for positioning, ensuring their integrity and security is paramount. However, we demonstrate that these...

Microsoft Windows Server Update Services (WSUS) Consolidation

Consolidation of Microsoft Windows Server Update Services WSUS detections. 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...

EUVD-2024-28047

HCL DRYiCE AEX product is impacted by Missing Root Detection vulnerability in the mobile application. The mobile app can be installed in the rooted device due to which malicious users can gain unauthorized access to the rooted devices, compromising security and potentially leading to data breache...

CVE-2025-50739

creationtimestamp| type| source ---|---|--- 2025-10-30 15:41:07+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3m4gcdwfjq52q...

The AI-Designed Bioweapon Arms Race

Interesting article about the arms race between AI systems that invent/design new biological pathogens, and AI systems that detect them before they're created: The team started with a basic test: use AI tools to design variants of the toxin ricin, then test them against the software that is used ...

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection

Anomaly detection is a critical task in cybersecurity, where identifying insider threats, access violations, and coordinated attacks is essential for ensuring system resilience. Graph-based approaches have become increasingly important for modeling entity interactions, yet most rely on homogeneou...

LLM-Based Multi-Class Attack Analysis and Mitigation Framework in IoT/IIoT Networks

The Internet of Things has expanded rapidly, transforming communication and operations across industries but also increasing the attack surface and security breaches. Artificial Intelligence plays a key role in securing IoT, enabling attack detection, attack behavior analysis, and mitigation...

School’s AI system mistakes a bag of chips for a gun

An artificial intelligence AI detection system at Kenwood High School mistakenly flagged a student’s bag of potato chips as a gun, triggering a police response. The 16-year-old had finished eating a bag of Doritos and crumpled it up in his pocket when he was done. But the school’s AI-based gun...