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...

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...

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...

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...

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...

Server-side Request Forgery (SSRF)

Overview Affected versions of this package are vulnerable to Server-side Request Forgery SSRF in the inlineRemoteCSS function during the HTML email analysis process. An attacker can cause the server to make arbitrary HTTP requests to external resources by supplying crafted HTML emails containing...

AI-Powered Surveillance in Schools

It all sounds pretty dystopian: Inside a white stucco building in Southern California, video cameras compare faces of passersby against a facial recognition database. Behavioral analysis AI reviews the footage for signs of violent behavior. Behind a bathroom door, a smoke detector-shaped device...

WordPress plugin Koko Analytics has a SQL injection vulnerability

WordPress and WordPress plugins are both products of the WordPress Foundation. WordPress is a blog platform developed using the PHP language. This platform allows for the creation of personal blog websites on servers based on PHP and MySQL. A WordPress plugin is an application extension. Versions...

Techniques of Modern Attacks

The techniques used in modern attacks have become an important factor for investigation. As we advance further into the digital age, cyber attackers are employing increasingly sophisticated and highly threatening methods. These attacks target not only organizations and governments but also extend...

PrivFly: A Privacy-Preserving Self-Supervised Framework for Rare Attack Detection in IoFT

The Internet of Flying Things IoFT plays a vital role in modern applications such as aerial surveillance and smart mobility. However, it remains highly vulnerable to cyberattacks that threaten the confidentiality, integrity, and availability of sensitive data. Developing effective intrusion...

From Extension to Infection: An In-Depth Analysis of the Evelyn Stealer Campaign Targeting Software Developers

This blog entry provides an in-depth analysis of the multistage delivery of the Evelyn information stealer, which was used in a campaign targeting software developers...

Post-Quantum Secure Aggregation Via Code-Based Homomorphic Encryption

Secure aggregation enables aggregation of inputs from multiple parties without revealing individual contributions to the server or other clients. Existing post-quantum approaches based on homomorphic encryption offer practical efficiency but predominantly rely on lattice-based hardness assumption...

Static Detection of Core Structures in Tigress Virtualization-Based Obfuscation Using an LLVM Pass

Malware often uses obfuscation to hinder security analysis. Among these techniques, virtualization-based obfuscation is particularly strong because it protects programs by translating original instructions into attacker-defined virtual machine VM bytecode, producing long and complex code that is...

OSV-2025-1064 Security exception in org.apache.lucene.analysis.miscellaneous.ASCIIFoldingFilter.foldToASCII

OSS-Fuzz report: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=476224468 Crash type: Security exception Crash state: org.apache.lucene.analysis.miscellaneous.ASCIIFoldingFilter.foldToASCII org.apache.lucene.analysis.miscellaneous.ASCIIFoldingFilter.foldToASCII...

Enhancing Fuzz Testing Efficiency through Automated Fuzz Target Generation

Fuzzing continues to be the most effective method for identifying security vulnerabilities in software. In the context of fuzz testing, the fuzzer supplies varied inputs to fuzz targets, which are designed to comprehensively exercise critical sections of the client code. Various studies have...

Shaping a Quantum-Resistant Future: Strategies for Post-Quantum PKI

As the quantum computing era approaches, securing classical cryptographic protocols becomes imperative. Public key cryptography is widely used for signature and key exchange but it is the type of cryptography more threatened by quantum computing. Its application typically requires support via a...

cve-pocs

CVE Proof of Concepts cve-pocs A collection of Proof of C...

4 Outdated Habits Destroying Your SOC's MTTR in 2026

It's 2026, yet many SOCs are still operating the way they did years ago, using tools and processes designed for a very different threat landscape. Given the growth in volumes and complexity of cyber threats, outdated practices no longer fully support analysts' needs, staggering investigations and...

Multi-Agent Taint Specification Extraction for Vulnerability Detection

Static Application Security Testing SAST tools using taint analysis are widely viewed as providing higher-quality vulnerability detection results compared to traditional pattern-based approaches. However, performing static taint analysis for JavaScript poses two major challenges. First,...

Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale

The rise of AI agent frameworks has introduced agent skills, modular packages containing instructions and executable code that dynamically extend agent capabilities. While this architecture enables powerful customization, skills execute with implicit trust and minimal vetting, creating a...