FaultLine: Automated Proof-Of-Vulnerability Generation Using LLM Agents

Despite the critical threat posed by software security vulnerabilities, reports are often incomplete, lacking the proof-of-vulnerability PoV tests needed to validate fixes and prevent regressions. These tests are crucial not only for ensuring patches work, but also for helping developers understa...

BACFuzz: Exposing the Silence on Broken Access Control Vulnerabilities in Web Applications

Broken Access Control BAC remains one of the most critical and widespread vulnerabilities in web applications, allowing attackers to access unauthorized resources or perform privileged actions. Despite its severity, BAC is underexplored in automated testing due to key challenges: the lack of...

AI Agent Smart Contract Exploit Generation

We present A1, an agentic execution driven system that transforms any LLM into an end-to-end exploit generator. A1 has no hand-crafted heuristics and provides the agent with six domain-specific tools that enable autonomous vulnerability discovery. The agent can flexibly leverage these tools to...

FrameShift: Learning to Resize Fuzzer Inputs without Breaking Them

Coverage-guided fuzzers are powerful automated bug-finding tools. They mutate program inputs, observe coverage, and save any input that hits an unexplored path for future mutation. Unfortunately, without knowledge of input formats--for example, the relationship between formats' data fields and...

CVE-2025-34091

A padding oracle vulnerability exists in Google Chrome 's AppBound cookie encryption mechanism . The root cause is the observable decryption failure behavior in Windows Event Logs when processing malformed ciphertext in SYSTEM-DPAPI-encrypted blobs . A local attacker can repeatedly send malformed...

Adaptive Alert Prioritisation in Security Operations Centres Via Learning to Defer with Human Feedback

Alert prioritisation AP is crucial for security operations centres SOCs to manage the overwhelming volume of alerts and ensure timely detection and response to genuine threats, while minimising alert fatigue. Although predictive AI can process large alert volumes and identify known patterns, it...

Haptic-Based User Authentication for Tele-robotic System

Tele-operated robots rely on real-time user behavior mapping for remote tasks, but ensuring secure authentication remains a challenge. Traditional methods, such as passwords and static biometrics, are vulnerable to spoofing and replay attacks, particularly in high-stakes, continuous interactions...

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

In Large Language Models, Retrieval-Augmented Generation RAG systems can significantly enhance the performance of large language models by integrating external knowledge. However, RAG also introduces new security risks. Existing research focuses mainly on how poisoning attacks in RAG systems affe...

[SECURITY] Fedora 42 Update: qt6-qtvirtualkeyboard-6.9.1-1.fc42

The Qt Virtual Keyboard project provides an input framework and reference key board frontend for Qt 6. Key features include: Customizable keyboard layouts and styles with dynamic switching. Predictive text input with word selection. Character preview and alternative character view. Automatic...

Practical Adversarial Attacks on Stochastic Bandits Via Fake Data Injection

Adversarial attacks on stochastic bandits have traditionally relied on some unrealistic assumptions, such as per-round reward manipulation and unbounded perturbations, limiting their relevance to real-world systems. We propose a more practical threat model, Fake Data Injection, which reflects...

CVE-2025-46173

code-projects Online Exam Mastering System 1.0 is vulnerable to Cross Site Scripting XSS via the name field in the feedback form...

CVE-2025-46173

code-projects Online Exam Mastering System 1.0 is vulnerable to Cross Site Scripting XSS via the name field in the feedback form...

CVE-2025-46173

code-projects Online Exam Mastering System 1.0 is vulnerable to Cross Site Scripting XSS via the name field in the feedback form...

CVE-2025-46173: Improper Neutralization of Input During Web Page Generation

code-projects Online Exam Mastering System 1.0 is vulnerable to Cross Site Scripting XSS via the name field in the feedback form...

Red-Teaming Text-To-Image Systems by Rule-Based Preference Modeling

Text-to-image T2I models raise ethical and safety concerns due to their potential to generate inappropriate or harmful images. Evaluating these models' security through red-teaming is vital, yet white-box approaches are limited by their need for internal access, complicating their use with...

PT-2025-23023 · Unknown · Code-Projects Online Exam Mastering System

Name of the Vulnerable Software and Affected Versions: code-projects Online Exam Mastering System version 1.0 Description: The issue concerns a Cross Site Scripting XSS vulnerability via the name field in the feedback form. This allows for potential malicious script execution. No information is...

CVE-2025-46173

code-projects Online Exam Mastering System 1.0 is vulnerable to Cross Site Scripting XSS via the name field in the feedback form...

CVE-2025-46173

The code-projects Online Exam Mastering System 1.0 is vulnerable to Stored Cross-Site Scripting (XSS) via the name field in the feedback.php form. The vulnerability exists because user input is not properly sanitized before being rendered in the dash.php administration panel. A malicious actor ca...

CVE-2025-46173

code-projects Online Exam Mastering System 1.0 is vulnerable to Cross Site Scripting XSS via the name field in the feedback form...

Code-Projects Online Exam Mastering System Security Vulnerabilities

Code-Projects Online Exam Mastering System is a Code-Projects open source online exam system. A security vulnerability exists in Code-Projects Online Exam Mastering System version 1.0, which stems from the feedback form name field being susceptible to cross-site scripting attacks...