EUVD-2024-20867

Malicious code in bioql PyPI...

EUVD-2024-19186

Malicious code in bioql PyPI...

EUVD-2021-7351

Malicious code in bioql PyPI...

EUVD-2023-47945

Malicious code in bioql PyPI...

EUVD-2024-2914

Malicious code in bioql PyPI...

EUVD-2024-2822

Malicious code in bioql PyPI...

Backdoor Attacks against Speech Language Models

Large Language Models LLMs and their multimodal extensions are becoming increasingly popular. One common approach to enable multimodality is to cascade domain-specific encoders with an LLM, making the resulting model inherit vulnerabilities from all of its components. In this work, we present the...

Beyond Surface Alignment: Rebuilding LLMs Safety Mechanism Via Probabilistically Ablating Refusal Direction

Jailbreak attacks pose persistent threats to large language models LLMs. Current safety alignment methods have attempted to address these issues, but they experience two significant limitations: insufficient safety alignment depth and unrobust internal defense mechanisms. These limitations make...

Beyond Classification: Evaluating LLMs for Fine-Grained Automatic Malware Behavior Auditing

Automated malware classification has achieved strong detection performance. Yet, malware behavior auditing seeks causal and verifiable explanations of malicious activities -- essential not only to reveal what malware does but also to substantiate such claims with evidence. This task is challengin...

XOffense: an AI-Driven Autonomous Penetration Testing Framework with Offensive Knowledge-Enhanced LLMs and Multi Agent Systems

This work introduces xOffense, an AI-driven, multi-agent penetration testing framework that shifts the process from labor-intensive, expert-driven manual efforts to fully automated, machine-executable workflows capable of scaling seamlessly with computational infrastructure. At its core, xOffense...

Google Fined $379 Million by French Regulator for Cookie Consent Violations

The French data protection authority has fined Google and Chinese e-commerce giant Shein $379 million €325 million and $175 million €150 million, respectively, for violating cookie rules. Both companies set advertising cookies on users' browsers without securing their consent, the National...

Linux Distros Unpatched Vulnerability : CVE-2021-41244

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Grafana is an open-source platform for monitoring and observability. In affected versions when the fine- grained access control beta feature is enabled and ther...

AI Agentic Vulnerability Injection and Transformation with Optimized Reasoning

The increasing complexity of software systems and the sophistication of cyber-attacks have underscored the critical need for effective automated vulnerability detection and repair systems. Traditional methods, such as static program analysis, face significant challenges related to scalability,...

MalLoc: toward Fine-Grained Android Malicious Payload Localization Via LLMs

The rapid evolution of Android malware poses significant challenges to the maintenance and security of mobile applications apps. Traditional detection techniques often struggle to keep pace with emerging malware variants that employ advanced tactics such as code obfuscation and dynamic behavior...

CVE-2025-55444

A SQL injection vulnerability exists in the id2 parameter of the cancelbooking.php page in Online Artwork and Fine Arts MCA Project 1.0. A remote attacker can inject arbitrary SQL queries, leading to database enumeration and potential remote code execution...

CVE-2025-55444

A SQL injection vulnerability exists in the id2 parameter of the cancelbooking.php page in Online Artwork and Fine Arts MCA Project 1.0. A remote attacker can inject arbitrary SQL queries, leading to database enumeration and potential remote code execution...

Online Artwork and Fine Arts 安全漏洞

Online Artwork and Fine Arts is an online artwork display box selling project by the individual developer Vishal Mathur. A security vulnerability exists in Online Artwork and Fine Arts version 1.0, which stems from a SQL injection in the id2 parameter of the cancelbooking.php page, which could le...

Enhancing Targeted Adversarial Attacks on Large Vision-Language Models through Intermediate Projector Guidance

Targeted adversarial attacks are essential for proactively identifying security flaws in Vision-Language Models before real-world deployment. However, current methods perturb images to maximize global similarity with the target text or reference image at the encoder level, collapsing rich visual...

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes

The advancement of AI technologies, particularly Large Language Models LLMs, has transformed computing while introducing new security and privacy risks. Prior research shows that cybercriminals are increasingly leveraging uncensored LLMs ULLMs as backends for malicious services. Understanding the...

Mitigating Jailbreaks with Intent-Aware LLMs

Despite extensive safety-tuning, large language models LLMs remain vulnerable to jailbreak attacks via adversarially crafted instructions, reflecting a persistent trade-off between safety and task performance. In this work, we propose Intent-FT, a simple and lightweight fine-tuning approach that...