The Scales of Justitia: a Comprehensive Survey on Safety Evaluation of LLMs

With the rapid advancement of artificial intelligence technology, Large Language Models LLMs have demonstrated remarkable potential in the field of Natural Language Processing NLP, including areas such as content generation, human-computer interaction, machine translation, and code generation,...

BIT-JOOMLA-2024-40743 [20240805] - Core - XSS vectors in Outputfilter::strip* methods

The stripImages and stripIframes methods didn't properly process inputs, leading to XSS vectors...

TracLLM: a Generic Framework for Attributing Long Context LLMs

Long context large language models LLMs are deployed in many real-world applications such as RAG, agent, and broad LLM-integrated applications. Given an instruction and a long context e.g., documents, PDF files, webpages, a long context LLM can generate an output grounded in the provided context,...

DEBIAN-CVE-2025-4517

Allows arbitrary filesystem writes outside the extraction directory during extraction with filter="data". You are affected by this vulnerability if using the tarfile module to extract untrusted tar archives using TarFile.extractall or TarFile.extract using the filter= parameter with a value of...

PSF-2025-7

Allows the extraction filter to be ignored, allowing symlink targets to point outside the destination directory, and the modification of some file metadata. You are affected by this vulnerability if using the tarfile module to extract untrusted tar archives using TarFile.extractall or...

Medium: kernel6.12

Issue Overview: In the Linux kernel, the following vulnerability has been resolved: btrfs: do proper folio cleanup when cowfilerange failed CVE-2024-57976 In the Linux kernel, the following vulnerability has been resolved: kernel: be more careful about dupmmap failures and uprobe registering...

Combining Different Existing Methods for Describing Steganography Hiding Methods

The proliferation of digital carriers that can be exploited to conceal arbitrary data has greatly increased the number of techniques for implementing network steganography. As a result, the literature overlaps greatly in terms of concepts and terminology. Moreover, from a cybersecurity viewpoint,...

Privacy-Aware, Public-Aligned: Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research Environments

Clinical free-text data offers immense potential to improve population health research such as richer phenotyping, symptom tracking, and contextual understanding of patient care. However, these data present significant privacy risks due to the presence of directly or indirectly identifying...

A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems

Modern transportation systems rely on cyber-physical systems CPS, where cyber systems interact seamlessly with physical systems like transportation-related sensors and actuators to enhance safety, mobility, and energy efficiency. However, growing automation and connectivity increase exposure to...

Evaluating the Security Efficacy of Web Application Firewalls (WAFs)

Web Application Firewalls WAFs are now a staple in defending web-facing applications and APIs, acting as specialized filters to block malicious traffic before it ever reaches your systems. But simply deploying a WAF isn’t enough, the real challenge is knowing whether it works when it matters most...

MINI-9FF4-9C66-M479

Bulletin has no description...

CVE-2025-48827

vBulletin 5.0.0 through 5.7.5 and 6.0.0 through 6.0.3 allows unauthenticated users to invoke protected API controllers' methods when running on PHP 8.1 or later, as demonstrated by the /api.php?method=protectedMethod pattern, as exploited in the wild in May 2025...

CVE-2025-48827

vBulletin 5.0.0 through 5.7.5 and 6.0.0 through 6.0.3 allows unauthenticated users to invoke protected API controllers' methods when running on PHP 8.1 or later, as demonstrated by the /api.php?method=protectedMethod pattern, as exploited in the wild in May 2025...

VideoMarkBench: Benchmarking Robustness of Video Watermarking

The rapid development of video generative models has led to a surge in highly realistic synthetic videos, raising ethical concerns related to disinformation and copyright infringement. Recently, video watermarking has been proposed as a mitigation strategy by embedding invisible marks into...

CVE-2025-48827

CVE-2025-48827 affects vBulletin 5.0.0–5.7.5 and 6.0.0–6.0.3. The issue is an authentication bypass allowing unauthenticated attackers to invoke protected API controller methods when PHP 8.1+ is used, due to changes in Reflection API handling. This can enable remote invocation of protected method...

CVE-2025-40652 Cross-Site Scripting (XSS) in CoverManager

Stored Cross-Site Scripting XSS vulnerability in the CoverManager booking software. This allows an attacker to inject malicious scripts into the application, which are permanently stored on the server. The malicious scripts are executed in the browser of any user visiting the affected page withou...

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks

Large language models LLMs have achieved remarkable capabilities but remain vulnerable to adversarial prompts known as jailbreaks, which can bypass safety alignment and elicit harmful outputs. Despite growing efforts in LLM safety research, existing evaluations are often fragmented, focused on...

VulnCheck KEV: CVE-2025-48827

vBulletin 5.0.0 through 5.7.5 and 6.0.0 through 6.0.3 allows unauthenticated users to invoke protected API controllers' methods when running on PHP 8.1 or later, as demonstrated by the /api.php?method=protectedMethod pattern, as exploited in the wild in May 2025...

A Systematic Classification of Vulnerabilities in MoveEVM Smart Contracts (MWC)

We introduce the MoveEVM Weakness Classification MWC system -- a dedicated vulnerability taxonomy for smart contracts built with Move and executed in EVM-compatible environments. While Move was originally designed to prevent common security flaws via linear resource types and strict ownership, it...

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation

Retrieval-Augmented Generation RAG has proven effective in mitigating hallucinations in large language models by incorporating external knowledge during inference. However, this integration introduces new security vulnerabilities, particularly to poisoning attacks. Although prior work has explore...