OESA-2025-2112 aide security update

Security Fixes: A vulnerability was found in AIDE up to 0.19.1 and classified as problematic.Using CWE to declare the problem leads to CWE-117. The product does not neutralize or incorrectly neutralizes output that is written to logs.Impacted is integrity.Upgrading to version 0.19.2 eliminates th...

Wapiti Web Application Vulnerability Scanner 3.2.5

Wapiti is a web application vulnerability scanner. It will scan the web pages of a deployed web application and will fuzz the URL parameters and forms to find common web vulnerabilities. This is the binary release...

A Kolmogorov-Arnold Network for Interpretable Cyberattack Detection in AGC Systems

Automatic Generation Control AGC is essential for power grid stability but remains vulnerable to stealthy cyberattacks, such as False Data Injection Attacks FDIAs, which can disturb the system's stability while evading traditional detection methods. Unlike previous works that relied on blackbox...

A Transformer-BiGRU-Based Framework with Data Augmentation and Confident Learning for Network Intrusion Detection

In today's fast-paced digital communication, the surge in network traffic data and frequency demands robust and precise network intrusion solutions. Conventional machine learning methods struggle to grapple with complex patterns within the vast network intrusion datasets, which suffer from data...

FuzzRDUCC: Fuzzing with Reconstructed Def-Use Chain Coverage

Binary-only fuzzing often struggles with achieving thorough code coverage and uncovering hidden vulnerabilities due to limited insight into a program's internal dataflows. Traditional grey-box fuzzers guide test case generation primarily using control flow edge coverage, which can overlook bugs n...

What Is Cybersecurity in Space?

Satellites, drones, and 5G space links now support critical services such as air traffic, finance, and weather. Yet most were not built to resist modern cyber threats. Ground stations can be breached, GPS jammed, and supply chains compromised, while no shared list of vulnerabilities or safe testi...

Russian APT28 Deploys “NotDoor” Backdoor Through Microsoft Outlook

APT28 hackers deploy NotDoor backdoor via Microsoft Outlook macros, using OneDrive sideloading to steal data and evade detection...

Exploit for Out-of-bounds Write in Vmware Cloud_Foundation

CVE-2021-21974 Vulnerability Detector A Python-based security...

Exploit for CVE-2025-23266

cve-2025-23266-migration-bypass cve...

PCI: pnv_php: Fix surprise plug detection and recovery

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Quantum AI Algorithm Development for Enhanced Cybersecurity: a Hybrid Approach to Malware Detection

This study explores the application of quantum machine learning QML algorithms to enhance cybersecurity threat detection, particularly in the classification of malware and intrusion detection within high-dimensional datasets. Classical machine learning approaches encounter limitations when dealin...

Systematic Timing Leakage Analysis of NIST PQDSS Candidates: Tooling and Lessons Learned

The PQDSS standardization process requires cryptographic primitives to be free from vulnerabilities, including timing and cache side-channels. Resistance to timing leakage is therefore an essential property, and achieving this typically relies on software implementations that follow constant-time...

An Empirical Study of Vulnerabilities in Python Packages and Their Detection

In the rapidly evolving software development landscape, Python stands out for its simplicity, versatility, and extensive ecosystem. Python packages, as units of organization, reusability, and distribution, have become a pressing concern, highlighted by the considerable number of vulnerability...

Revisiting Third-Party Library Detection: a Ground Truth Dataset and Its Implications across Security Tasks

Accurate detection of third-party libraries TPLs is fundamental to Android security, supporting vulnerability tracking, malware detection, and supply chain auditing. Despite many proposed tools, their real-world effectiveness remains unclear.We present the first large-scale empirical study of ten...

False Sense of Security: Why Probing-Based Malicious Input Detection Fails to Generalize

Large Language Models LLMs can comply with harmful instructions, raising serious safety concerns despite their impressive capabilities. Recent work has leveraged probing-based approaches to study the separability of malicious and benign inputs in LLMs' internal representations, and researchers ha...

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

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CVE-2025-38532

creationtimestamp| type| source ---|---|--- 2025-09-03 22:25:26+00:00| seen| https://bsky.app/profile/Android.activitypub.awakari.com.ap.brid.gy/post/3lxxoddlkol22...

drm/xe/ufence: Prefetch ufence addr to catch bogus address

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CVE-2025-21041

creationtimestamp| type| source ---|---|--- 2025-09-03 07:43:38+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3lxw53ncich2j...

A Quantum Genetic Algorithm-Enhanced Self-Supervised Intrusion Detection System for Wireless Sensor Networks in the Internet of Things

The rapid expansion of the Internet of Things IoT and Wireless Sensor Networks WSNs has significantly increased the attack surface of such systems, making them vulnerable to a wide range of cyber threats. Traditional Intrusion Detection Systems IDS often fail to meet the stringent requirements of...