JPRO: Automated Multimodal Jailbreaking Via Multi-Agent Collaboration Framework

The widespread application of large VLMs makes ensuring their secure deployment critical. While recent studies have demonstrated jailbreak attacks on VLMs, existing approaches are limited: they require either white-box access, restricting practicality, or rely on manually crafted patterns, leadin...

LLM Response Evaluation with Spring AI: Building LLM-as-a-Judge Using Recursive Advisors

The challenge of evaluating Large Language Model LLM outputs is critical for notoriously non-deterministic AI applications, especially as they move into production. Traditional metrics like ROUGE and BLEU fall short when assessing the nuanced, contextual responses that modern LLMs produce. Human...

A Visual Perception-Based Tunable Framework and Evaluation Benchmark for H.265/HEVC ROI Encryption

ROI selective encryption, as an efficient privacy protection technique, encrypts only the key regions in the video, thereby ensuring security while minimizing the impact on coding efficiency. However, existing ROI-based video encryption methods suffer from insufficient flexibility and lack of a...

HYDRA: A Hybrid Heuristic-Guided Deep Representation Architecture for Predicting Latent Zero-Day Vulnerabilities in Patched Functions

Software security testing, particularly when enhanced with deep learning models, has become a powerful approach for improving software quality, enabling faster detection of known flaws in source code. However, many approaches miss post-fix latent vulnerabilities that remain even after patches...

Security Evaluation of Quantum Circuit Split Compilation under an Oracle-Guided Attack

Quantum circuits are the fundamental representation of quantum algorithms and constitute valuable intellectual property IP. Multiple quantum circuit obfuscation QCO techniques have been proposed in prior research to protect quantum circuit IP against malicious compilers. However, there has not be...

EUVD-2025-37775

The Ad Inserter – Ad Manager & AdSense Ads plugin for WordPress is vulnerable to Stored Cross-Site Scripting via custom field through the plugin's 'adinserter' shortcode in all versions up to, and including, 2.8.7 due to insufficient input sanitization and output escaping on user supplied...

Smartphone User Fingerprinting on Wireless Traffic

Due to the openness of the wireless medium, smartphone users are susceptible to user privacy attacks, where user privacy information is inferred from encrypted Wi-Fi wireless traffic. Existing attacks are limited to recognizing mobile apps and their actions and cannot infer the smartphone user...

EUVD-2025-37574

In wlan AP driver, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege when OceReducedNeighborReport is disabled. User interaction is not needed for exploitation...

EUVD-2025-37713

This issue was addressed with improved entitlements. This issue is fixed in visionOS 26.1, macOS Sonoma 14.8.2, macOS Sequoia 15.7.2, iOS 26.1 and iPadOS 26.1, tvOS 26.1. An app may be able to break out of its sandbox...

AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models

Large Language Models LLMs remain vulnerable to jailbreaking attacks where adversarial prompts elicit harmful outputs, yet most evaluations focus on single-turn interactions while real-world attacks unfold through adaptive multi-turn conversations. We present AutoAdv, a training-free framework fo...

sssd security update

2.9.4-5.0.2.3 - Missing ntohs to service port Orabug: 37389651 - Restore default debug level for ssscache Orabug: 32810448 2.9.4-5.3 - Resolves: RHEL-112455 - p11child currently has an infinite timeout rhel-8.10.z - Resolves: RHEL-120292 - CVE-2025-11561 sssd: SSSD default Kerberos configuration...

Exploit for Code Injection in Flowiseai Flowise

CVE-2025-59528.yaml Flowise is a drag & drop user interface to...

A Large Scale Study of AI-Based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners

Binary Function Similarity Detection BFSD is a foundational technique in software security, underpinning a wide range of applications including vulnerability detection, malware analysis. Recent advances in AI-based BFSD tools have led to significant performance improvements. However, existing...

AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence

Large Language Models LLMs have demonstrated strong capabilities in natural language reasoning, yet their application to Cyber Threat Intelligence CTI remains limited. CTI analysis involves distilling large volumes of unstructured reports into actionable knowledge, a process where LLMs could...

Eval Injection

Overview talkpipe is a Python internal and external DSL for writing generative AI analytics Affected versions of this package are vulnerable to Eval Injection due to using the function eval unsafe in the compileLambda function in the talkpipe/util/datamanipulation.py file. An attacker can execute...

Exploit for Eval Injection in Xwiki

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CVE-2025-40098

CVE-2025-40098 affects the Linux kernel ALSA HDA driver for cs35l41. The issue is a NULL pointer dereference: acpi_evaluate_dsm() may return NULL and is dereferenced without a NULL check, risking a crash. The advisory notes this was fixed by adding a NULL check in cs35l41_get_acpi_mute_state() (a...

LLM-Based Multi-Class Attack Analysis and Mitigation Framework in IoT/IIoT Networks

The Internet of Things has expanded rapidly, transforming communication and operations across industries but also increasing the attack surface and security breaches. Artificial Intelligence plays a key role in securing IoT, enabling attack detection, attack behavior analysis, and mitigation...

A Comprehensive Evaluation and Practice of System Penetration Testing

With the rapid advancement of information technology, the complexity of applications continues to increase, and the cybersecurity challenges we face are also escalating. This paper aims to investigate the methods and practices of system security penetration testing, exploring how to enhance syste...

APThreatHunter: An Automated Planning-Based Threat Hunting Framework

Cyber attacks threaten economic interests, critical infrastructure, and public health and safety. To counter this, entities adopt cyber threat hunting, a proactive approach that involves formulating hypotheses and searching for attack patterns within organisational networks. Automating cyber thre...