Reference-Free Spectral Analysis of EM Side-Channels for Always-On Hardware Trojan Detection

Always-on hardware Trojans HTs pose a critical risk to trusted microelectronics, yet most side-channel detection methods rely on unavailable golden references. We present a reference-free approach that combines time-frequency EM analysis with Gaussian Mixture Models GMMs. By applying Short-Time...

Burp Suite 2025.12.4 Extension Advanced ReDoS Detector

This Burp Suite Java extension integrates an advanced timing-based ReDoS detection engine into Burp's Active Scanner. It automatically tests HTTP parameters using crafted payloads to identify exponential regex backtracking vulnerabilities. The extension performs warm-up requests, collects baselin...

Faraday 5.19.0

Faraday is a tool that introduces a new concept called IPE, or Integrated Penetration-Test Environment. It is a multiuser penetration test IDE designed for distribution, indexation and analysis of the generated data during the process of a security audit. The main purpose of Faraday is to re-use...

CVE-2026-24490: Improper Neutralization of Input During Web Page Generation

MobSF is a mobile application security testing tool used. Prior to version 4.4.5, a Stored Cross-site Scripting XSS vulnerability in MobSF's Android manifest analysis allows an attacker to execute arbitrary JavaScript in the context of a victim's browser session by uploading a malicious APK. The...

GHSA-8HF7-H89P-3PQJ MobSF has Stored XSS via Manifest Analysis - Dialer Code Host Field

Summary A Stored Cross-site Scripting XSS vulnerability in MobSF's Android manifest analysis allows an attacker to execute arbitrary JavaScript in the context of a victim's browser session by uploading a malicious APK. The android:host attribute from elements is rendered in HTML reports without...

Cross-site Scripting (XSS)

Overview mobsf is a Mobile Security Framework MobSF is an automated, all-in-one mobile application Android/iOS/Windows pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis. Affected versions of this package are vulnerable to Cross-site...

MobSF has Stored XSS via Manifest Analysis - Dialer Code Host Field

Summary A Stored Cross-site Scripting XSS vulnerability in MobSF's Android manifest analysis allows an attacker to execute arbitrary JavaScript in the context of a victim's browser session by uploading a malicious APK. The android:host attribute from elements is rendered in HTML reports without...

Explainability Methods for Hardware Trojan Detection: A Systematic Comparison

Hardware trojan detection requires accurate identification and interpretable explanations for security engineers to validate and act on results. This work compares three explainability categories for gate-level trojan detection on the Trust-Hub benchmark: 1 domain-aware property-based analysis of...

PT-2026-4753

Name of the Vulnerable Software and Affected Versions Access Manager 92xx hardware revision K7 affected versions not specified Description The Access Manager 92xx hardware revision K7 utilizes a Linux-based operating system, differing from older revisions that used Windows CE. An SSH service is...

AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection

Secure code review is critical at the pre-commit stage, where vulnerabilities must be caught early under tight latency and limited-context constraints. Existing SAST-based checks are noisy and often miss immature, context-dependent vulnerabilities, while standalone Large Language Models LLMs are...

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 DOM Scanner

Advanced XSS vulnerability scanner that analyzes the DOM for potential XSS vulnerabilities DOM-based, reflected, stored from kittysploit import class ModuleBrowserAuxiliary: info = "name": "XSS DOM Scanner", "description": "Advanced XSS vulnerability scanner that analyzes the DOM for potential XS...

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...

Graylog Privilege Escalation

The vulnerability of the Graylog log collection, analysis, and storage software lies in the deficiencies of the authentication process. Exploiting this vulnerability allows a malicious actor to enhance their privileges remotely...

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-2025-37755)

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...

📄 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...

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...