MAL-2026-500 Malicious code in zabittest11 (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 08a0084877b46812f2b43eaa232ecb1768d4b4415111ee65c741f2cc7acfa784 The package zabittest11 was found to contain malicious code. Source: ossf-package-analysis...

[SECURITY] Fedora 42 Update: wireshark-4.6.3-1.fc42

Wireshark allows you to examine protocol data stored in files or as it is captured from wired or wireless WiFi or Bluetooth networks, USB devices, and many other sources. It supports dozens of protocol capture file formats and understands more than a thousand protocols. It has many powerful...

XSS-Security-Analysis-HW8

No d...

MAL-2026-491 Malicious code in test-on-other-again (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 0c2b4e18e26bfe221e4ebcdaa18a271ea746bee1977c35172726fd753a923897 The package test-on-other-again was found to contain malicious code. Source: ossf-package-analysis...

MAL-2026-460 Malicious code in pay-by-bank-dashboard-server (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 20c58f9aa900a5052fd440dd0a9a3e3ecb345fb4fee2be527b5af385485ee224 The package pay-by-bank-dashboard-server was found to contain malicious code. Source: ghsa-malware...

Azure Linux 3.0 Security Update: kernel (CVE-2025-21736)

The version of kernel installed on the remote Azure Linux 3.0 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the CVE-2025-21736 advisory. - In the Linux kernel, the following vulnerability has been resolved: nilfs2: fix possible int overflows in...

CAFE-GB: Scalable and Stable Feature Selection for Malware Detection Via Chunk-Wise Aggregated Gradient Boosting

High-dimensional malware datasets often exhibit feature redundancy, instability, and scalability limitations, which hinder the effectiveness and interpretability of machine learning-based malware detection systems. Although feature selection is commonly employed to mitigate these issues, many...

CONTEX-T: Contextual Privacy Exploitation Via Transformer Spectral Analysis for IoT Device Fingerprinting

The rapid expansion of internet of things IoT devices have created a pervasive ecosystem where encrypted wireless communications serve as the primary privacy and security protection mechanism. While encryption effectively protects message content, packet metadata and statistics inadvertently expo...

📄 HEUR.Backdoor.Win32.Poison.gen DLL Hijacking

This code implements an advanced WININET.dll proxy via DLL hijacking that is designed as a defensive countermeasure against malware such as HEUR.Backdoor.Win32.Poison.gen. The malware family Poison loads a 32‑bit WININET.dll from its current directory, which enables execution flow hijacking MITRE...

Azure Linux 3.0 Security Update: kernel (CVE-2025-37755)

The version of kernel installed on the remote Azure Linux 3.0 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the CVE-2025-37755 advisory. - In the Linux kernel, the following vulnerability has been resolved: net: libwx: handle pagepooldevallocpages...

VoidLink Linux Malware Framework Built with AI Assistance Reaches 88,000 Lines of Code

The recently discovered sophisticated Linux malware framework known as VoidLink is assessed to have been developed by a single person with assistance from an artificial intelligence AI model. That's according to new findings from Check Point Research, which identified operational security blunder...

SAGA: Detecting Security Vulnerabilities Using Static Aspect Analysis

Python is one of the most popular programming languages; as such, projects written in Python involve an increasing number of diverse security vulnerabilities. However, existing state-of-the-art analysis tools for Python only support a few vulnerability types. Hence, there is a need to detect a...

Remote Code Execution (RCE)

fickling is vulnerable to Remote Code Execution RCE. The vulnerability is due to the failure to explicitly block dangerous modules such as ctypes and pydoc, which allows an attacker to chain pydoc.locate with ctypes during pickle analysis to achieve RCE while the malicious pickle file is still...

Detection Bypass

fickling is vulnerable to detection bypass. The vulnerability is due to improper handling and analysis of Python builtins during pickle decompilation, which allows an attacker to bypass detection mechanisms and evade static analysis of malicious pickle payloads...

EUVD-2026-3441

Incorrect security UI in Split View in Google Chrome prior to 144.0.7559.59 allowed a remote attacker to perform UI spoofing via a crafted HTML page. Chromium security severity: Low...

AI Agents Vs. Human Investigators: Balancing Automation, Security, and Expertise in Cyber Forensic Analysis

In an era where cyber threats are rapidly evolving, the reliability of cyber forensic analysis has become increasingly critical for effective digital investigations and cybersecurity responses. AI agents are being adopted across digital forensic practices due to their ability to automate processe...

A Prompt-Based Framework for Loop Vulnerability Detection Using Local LLMs

Loop vulnerabilities are one major risky construct in software development. They can easily lead to infinite loops or executions, exhaust resources, or introduce logical errors that degrade performance and compromise security. The problem are often undetected by traditional static analyzers becau...

LLM Security and Safety: Insights from Homotopy-Inspired Prompt Obfuscation

In this study, we propose a homotopy-inspired prompt obfuscation framework to enhance understanding of security and safety vulnerabilities in Large Language Models LLMs. By systematically applying carefully engineered prompts, we demonstrate how latent model behaviors can be influenced in...

An Empirical Study on Remote Code Execution in Machine Learning Model Hosting Ecosystems

Model-sharing platforms, such as Hugging Face, ModelScope, and OpenCSG, have become central to modern machine learning development, enabling developers to share, load, and fine-tune pre-trained models with minimal effort. However, the flexibility of these ecosystems introduces a critical security...

VulnResolver: A Hybrid Agent Framework for LLM-Based Automated Vulnerability Issue Resolution

As software systems grow in complexity, security vulnerabilities have become increasingly prevalent, posing serious risks and economic costs. Although automated detection tools such as fuzzers have advanced considerably, effective resolution still often depends on human expertise. Existing...