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 /allocatedrooms.php. An attacker can use this vulnerabilit...

Probe Before You Talk: Towards Black-Box Defense against Backdoor Unalignment for Large Language Models

Backdoor unalignment attacks against Large Language Models LLMs enable the stealthy compromise of safety alignment using a hidden trigger while evading normal safety auditing. These attacks pose significant threats to the applications of LLMs in the real-world Large Language Model as a Service...

Black-Box Privacy Attacks on Shared Representations in Multitask Learning

Multitask learning MTL has emerged as a powerful paradigm that leverages similarities among multiple learning tasks, each with insufficient samples to train a standalone model, to solve them simultaneously while minimizing data sharing across users and organizations. MTL typically accomplishes th...

CVE-2025-23170: Improper Neutralization of Special Elements used in a Command

The Versa Director SD-WAN orchestration platform includes functionality to initiate SSH sessions to remote CPEs and the Director shell via Shell-In-A-Box. The underlying Python script, shell-connect.py, is vulnerable to command injection through the user argument. This allows an attacker to execu...

CVE-2025-23170

CVE-2025-23170 affects Versa Director SD-WAN. The flaw resides in the Shell-In-A-Box integration via the Python script shell-connect.py, which accepts a user argument vulnerable to command injection. A successful exploitation would allow an attacker to execute arbitrary commands on the Versa Dire...

PT-2025-26192 · Versa · Versa Director

Name of the Vulnerable Software and Affected Versions: Versa Director SD-WAN orchestration platform affected versions not specified Description: The Versa Director SD-WAN orchestration platform has a command injection issue in the Shell-In-A-Box service, allowing an attacker to execute arbitrary...

CVE-2025-6159

A vulnerability classified as critical was found in code-projects Hostel Management System 1.0. This vulnerability affects unknown code of the file /allocateroom.php. The manipulation of the argument searchbox leads to sql injection. The attack can be initiated remotely. The exploit has been...

IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems

The rapid advancement of Large Language Models LLMs has led to the emergence of Multi-Agent Systems MAS to perform complex tasks through collaboration. However, the intricate nature of MAS, including their architecture and agent interactions, raises significant concerns regarding intellectual...

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...