OSV-2025-412 UNKNOWN WRITE in luaL_newstate

OSS-Fuzz report: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=420248727 Crash type: UNKNOWN WRITE Crash state: luaLnewstate...

A Comparative Study of Fuzzers and Static Analysis Tools for Finding Memory Unsafety in C and C++

Even today, over 70% of security vulnerabilities in critical software systems result from memory safety violations. To address this challenge, fuzzing and static analysis are widely used automated methods to discover such vulnerabilities. Fuzzing generates random program inputs to identify faults...

Transformers for Secure Hardware Systems: Applications, Challenges, and Outlook

The rise of hardware-level security threats, such as side-channel attacks, hardware Trojans, and firmware vulnerabilities, demands advanced detection mechanisms that are more intelligent and adaptive. Traditional methods often fall short in addressing the complexity and evasiveness of modern...

Private Rate-Constrained Optimization with Applications to Fair Learning

Many problems in trustworthy ML can be formulated as minimization of the model error under constraints on the prediction rates of the model for suitably-chosen marginals, including most group fairness constraints demographic parity, equality of odds, etc.. In this work, we study such constrained...

Hunting the Ghost: Towards Automatic Mining of IoT Hidden Services

In this paper, we proposes an automatic firmware analysis tool targeting at finding hidden services that may be potentially harmful to the IoT devices. Our approach uses static analysis and symbolic execution to search and filter services that are transparent to normal users but explicit to...

Domainator: Detecting and Identifying DNS-Tunneling Malware Using Metadata Sequences

In recent years, malware with tunneling or: covert channel capabilities is on the rise. While malware research led to several methods and innovations, the detection and differentiation of malware solely based on its DNS tunneling features is still in its infancy. Moreover, no work so far has used...

Lazarus Group Targets Crypto-Wallets and Financial Data While Employing New Tradecrafts

This report presents a comprehensive analysis of a malicious software sample, detailing its architecture, behavioral characteristics, and underlying intent. Through static and dynamic examination, the malware core functionalities, including persistence mechanisms, command-and-control communicatio...

JavaSith: a Client-Side Framework for Analyzing Potentially Malicious Extensions in Browsers, VS Code, and NPM Packages

Modern software supply chains face an increasing threat from malicious code hidden in trusted components such as browser extensions, IDE extensions, and open-source packages. This paper introduces JavaSith, a novel client-side framework for analyzing potentially malicious extensions in web...

Uncovering Black-Hat SEO Based Fake E-Commerce Scam Groups from Their Redirectors and Websites

While law enforcements agencies and cybercrime researchers are working hard, fake E-commerce scam is still a big threat to Internet users. One of the major techniques to victimize users is luring them by black-hat search-engine-optimization SEO; making search engines display their lure pages as i...

Google Chrome < 137.0.7151.55 Multiple Vulnerabilities

The version of Google Chrome installed on the remote macOS host is prior to 137.0.7151.55. It is, therefore, affected by multiple vulnerabilities as referenced in the 202505stable-channel-update-for-desktop27 advisory. - Use after free in libvpx in Google Chrome prior to 137.0.7151.55 allowed a...

PT-2025-23995 · Git +1 · Readstat

Name of the Vulnerable Software and Affected Versions: The product name cannot be determined. affected versions not specified Description: The software contains a heap-buffer-overflow read issue. The crash occurs during the sav parse long variable names record function, which is called by sav par...

A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?

Recently, AI-driven interactions with computing devices have advanced from basic prototype tools to sophisticated, LLM-based systems that emulate human-like operations in graphical user interfaces. We are now witnessing the emergence of \emphComputer-Using Agents CUAs, capable of autonomously...

MultiPhishGuard: an LLM-Based Multi-Agent System for Phishing Email Detection

Phishing email detection faces critical challenges from evolving adversarial tactics and heterogeneous attack patterns. Traditional detection methods, such as rule-based filters and denylists, often struggle to keep pace with these evolving tactics, leading to false negatives and compromised...

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub

Vulnerabilities in open-source software can cause cascading effects in the modern digital ecosystem. It is especially worrying if these vulnerabilities repeat across many projects, as once the adversaries find one of them, they can scale up the attack very easily. Unfortunately, since developers...

CVE-2025-5151 defog-ai introspect analysis_tools.py execute_analysis_code_safely code injection

A vulnerability classified as critical has been found in defog-ai introspect up to 0.1.4. This affects the function executeanalysiscodesafely of the file introspect/backend/tools/analysistools.py. The manipulation of the argument code leads to code injection. It is possible to launch the attack o...

MAL-2025-4424 Malicious code in @cat-ecom/pcc-components (npm)

--- -= Per source details. Do not edit below this line.=- Source: ossf-package-analysis 96cbe81d68d4bf1046012598de37b5dcef6f28b3ce01653ab29b3405b359d30e The OpenSSF Package Analysis project identified '@cat-ecom/pcc-components' @ 99.99.99 npm as malicious. It is considered malicious because: - Th...

CVE-2025-46176

Hardcoded credentials in the Telnet service in D-Link DIR-605L v2.13B01 and DIR-816L v2.06B01 allow attackers to remotely execute arbitrary commands via firmware analysis...

RADEP: a Resilient Adaptive Defense Framework against Model Extraction Attacks

Machine Learning as a Service MLaaS enables users to leverage powerful machine learning models through cloud-based APIs, offering scalability and ease of deployment. However, these services are vulnerable to model extraction attacks, where adversaries repeatedly query the application programming...

CVE-2025-46176

Hardcoded credentials in the Telnet service in D-Link DIR-605L v2.13B01 and DIR-816L v2.06B01 allow attackers to remotely execute arbitrary commands via firmware analysis...

CVE-2025-0459

A vulnerability, which was classified as problematic, has been found in libretro RetroArch up to 1.19.1 on Windows. Affected by this issue is some unknown functionality in the library profapi.dll of the component Startup. The manipulation leads to untrusted search path. An attack has to be...