Code-Projects Hostel Management System 注入漏洞

Hostel Management System is a hostel management system. Hostel Management System suffers from a SQL injection vulnerability that stems from the lack of validation of externally entered SQL statements in the parameter searchbox in the file /allocateroom.php. An attacker can exploit this...

PHPGurukul Hostel Management System 注入漏洞

PHPGurukul Hostel Management System is a hostel management system from PHPGurukul. An injection vulnerability exists in version 1.0 of the PHPGurukul Hostel Management System, which originates from an SQL injection caused by the operation of the searchbox parameter in the /admin/students.php file...

CVE-2025-49871: Improper Neutralization of Input During Web Page Generation

Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in Noptin Newsletter Team Noptin newsletter-optin-box allows Stored XSS.This issue affects Noptin: from n/a through = 3.8.7...

Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation

The security of modern vehicles has become increasingly important, with the controller area network CAN bus serving as a critical communication backbone for various Electronic Control Units ECUs. The absence of robust security measures in CAN, coupled with the increasing connectivity of vehicles,...

GenBreak: Red Teaming Text-To-Image Generators Using Large Language Models

Text-to-image T2I models such as Stable Diffusion have advanced rapidly and are now widely used in content creation. However, these models can be misused to generate harmful content, including nudity or violence, posing significant safety risks. While most platforms employ content moderation...

HauntAttack: When Attack Follows Reasoning As a Shadow

Emerging Large Reasoning Models LRMs consistently excel in mathematical and reasoning tasks, showcasing exceptional capabilities. However, the enhancement of reasoning abilities and the exposure of their internal reasoning processes introduce new safety vulnerabilities. One intriguing concern is:...

Rewriting the Budget: a General Framework for Black-Box Attacks under Cost Asymmetry

Traditional decision-based black-box adversarial attacks on image classifiers aim to generate adversarial examples by slightly modifying input images while keeping the number of queries low, where each query involves sending an input to the model and observing its output. Most existing methods...

Differentially Private Explanations for Clusters

The dire need to protect sensitive data has led to various flavors of privacy definitions. Among these, Differential privacy DP is considered one of the most rigorous and secure notions of privacy, enabling data analysis while preserving the privacy of data contributors. One of the fundamental...

Prediction Inconsistency Helps Achieve Generalizable Detection of Adversarial Examples

Adversarial detection protects models from adversarial attacks by refusing suspicious test samples. However, current detection methods often suffer from weak generalization: their effectiveness tends to degrade significantly when applied to adversarially trained models rather than naturally train...

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack

Membership inference attack MIA has become one of the most widely used and effective methods for evaluating the privacy risks of machine learning models. These attacks aim to determine whether a specific sample is part of the model's training set by analyzing the model's output. While traditional...

Tarallo: Evading Behavioral Malware Detectors in the Problem Space

Machine learning algorithms can effectively classify malware through dynamic behavior but are susceptible to adversarial attacks. Existing attacks, however, often fail to find an effective solution in both the feature and problem spaces. This issue arises from not addressing the intrinsic...

BitBypass: a New Direction in Jailbreaking Aligned Large Language Models with Bitstream Camouflage

The inherent risk of generating harmful and unsafe content by Large Language Models LLMs, has highlighted the need for their safety alignment. Various techniques like supervised fine-tuning, reinforcement learning from human feedback, and red-teaming were developed for ensuring the safety alignme...

Arris VIP1113 安全漏洞

The Arris VIP1113 is a set-top box for HD IPTV services from Arris USA. A security vulnerability exists in the Arris VIP1113 version 2025-05-30 and earlier, which stems from a firmware decryption key of cd1c2d78f2cba1f73ca7e697b4a485f49a8a7d0c8b0fdc9f51ced50f2530668a...

Arris VIP1113 安全漏洞

The Arris VIP1113 is a set-top box for HD IPTV services from Arris USA. A security vulnerability exists in the Arris VIP1113 version 2025-05-30 and earlier, which stems from a specially crafted /usr/bin/gunzip file that could lead to arbitrary image booting...

Black-Box Crypto Is Useless for Pseudorandom Codes

A pseudorandom code is a keyed error-correction scheme with the property that any polynomial number of encodings appear random to any computationally bounded adversary. We show that the pseudorandomness of any code tolerating a constant rate of random errors cannot be based on black-box reduction...

PT-2025-34089 · Gnu +1 · Gpac +1

Уязвимость функции gf parse lfrac утилиты MP4Box мультимедийной платформы GPAC связана с разыменованием нулевого указателя. Эксплуатация уязвимости может позволить нарушителю вызвать отказ в обслуживании...

Unlearning Inversion Attacks for Graph Neural Networks

Graph unlearning methods aim to efficiently remove the impact of sensitive data from trained GNNs without full retraining, assuming that deleted information cannot be recovered. In this work, we challenge this assumption by introducing the graph unlearning inversion attack: given only black-box...

AdInject: Real-World Black-Box Attacks on Web Agents Via Advertising Delivery

Vision-Language Model VLM based Web Agents represent a significant step towards automating complex tasks by simulating human-like interaction with websites. However, their deployment in uncontrolled web environments introduces significant security vulnerabilities. Existing research on adversarial...

CVE-2025-5133

A vulnerability classified as problematic has been found in Tmall Demo up to 20250505. Affected is an unknown function of the component Search Box. The manipulation leads to cross site scripting. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be...

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Retrieval-Augmented Generation RAG enhances large language models LLMs by incorporating external knowledge, but its openness introduces vulnerabilities that can be exploited by poisoning attacks. Existing poisoning methods for RAG systems have limitations, such as poor generalization and lack of...