CVE-2025-52875

In JetBrains TeamCity before 2025.03.3 a DOM-based XSS at the Performance Monitor page was possible...

[SECURITY] Fedora 42 Update: firefox-140.0-1.fc42

Mozilla Firefox is an open-source web browser, designed for standards compliance, performance and portability...

Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA

Memorization in large language models LLMs makes them vulnerable to data extraction attacks. While pre-training memorization has been extensively studied, fewer works have explored its impact in fine-tuning, particularly for LoRA fine-tuning, a widely adopted parameter-efficient method. In this...

The vulnerability of the distribution and transaction performance-enhancement software in the Apache Seata microservice architecture arises from incorrect processing of highly compressed input data. This allows attackers to cause service failures.

The vulnerability of distribution software and the inability to improve transaction performance in the Apache Seata microservices architecture is related to incorrect processing of highly compressed input data. Exploiting this vulnerability can allow an attacker to cause service failures remotely...

RHSA-2025:9420 Red Hat Security Advisory: libarchive security update

Bulletin has no description...

An ETSI GS QKD Compliant TLS Implementation

A modification of the TLS protocol is presented, using our implementation of the Quantum Key Distribution QKD standard ETSI GS QKD 014 v1.1.1. We rely on the Rustls library for this. The TLS protocol is modified while maintaining backward compatibility on the client and server side. We thus wish ...

KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs

Despite extensive research on Machine Learning-based Network Intrusion Detection Systems ML-NIDS, their capability to detect diverse attack variants remains uncertain. Prior studies have largely relied on homogeneous datasets, which artificially inflate performance scores and offer a false sense ...

CVE-2025-52875

In JetBrains TeamCity before 2025.03.3 a DOM-based XSS at the Performance Monitor page was possible...

CVE-2025-52875

In JetBrains TeamCity before 2025.03.3 a DOM-based XSS at the Performance Monitor page was possible...

CVE-2025-52875

In JetBrains TeamCity before 2025.03.3 a DOM-based XSS at the Performance Monitor page was possible...

CVE-2025-52875

JetBrains TeamCity before 2025.03.3 is affected by a DOM-based XSS on the Performance Monitor page. The vulnerability stems from insufficient filtering/escaping of user-supplied data, allowing an attacker to inject arbitrary JavaScript/HTML that runs in a victim’s browser. Impact is browser-level...

CVE-2025-52875

In JetBrains TeamCity before 2025.03.3 a DOM-based XSS at the Performance Monitor page was possible...

PT-2025-26598 · Jetbrains · Teamcity

Name of the Vulnerable Software and Affected Versions: JetBrains TeamCity versions prior to 2025.03.3 Description: A DOM-based XSS issue was found at the Performance Monitor page. Recommendations: For versions prior to 2025.03.3, update to version 2025.03.3 or later to resolve the issue...

JetBrains TeamCity 跨站脚本漏洞

JetBrains TeamCity is a set of distributed build management and continuous integration tools from the Czech company JetBrains. The tool provides continuous unit testing, code quality analysis and build problem analysis reports and other features. A cross-site scripting vulnerability exists in...

Technical Evaluation of a Disruptive Approach in Homomorphic AI

We present a technical evaluation of a new, disruptive cryptographic approach to data security, known as HbHAI Hash-based Homomorphic Artificial Intelligence. HbHAI is based on a novel class of key-dependent hash functions that naturally preserve most similarity properties, most AI algorithms rel...

MEraser: an Effective Fingerprint Erasure Approach for Large Language Models

Large Language Models LLMs have become increasingly prevalent across various sectors, raising critical concerns about model ownership and intellectual property protection. Although backdoor-based fingerprinting has emerged as a promising solution for model authentication, effective attacks for...

Secure API-Driven Research Automation to Accelerate Scientific Discovery

The Secure Scientific Service Mesh S3M provides API-driven infrastructure to accelerate scientific discovery through automated research workflows. By integrating near real-time streaming capabilities, intelligent workflow orchestration, and fine-grained authorization within a service mesh...

Quantum Enhanced Entropy Pool for Cryptographic Applications and Proofs

This paper investigates the integration of quantum randomness into Verifiable Random Functions VRFs using the Ed25519 elliptic curve to strengthen cryptographic security. By replacing traditional pseudorandom number generators with quantum entropy sources, we assess the impact on key security and...

Regular Expression Denial of Service (ReDoS)

Overview Affected versions of this package are vulnerable to Regular Expression Denial of Service ReDoS via the listNames function. An attacker can cause significant CPU consumption and degrade server performance by supplying a crafted regular expression and influencing the set of resource names...

BIT-DJANGO-2025-32873

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.striptags function is vulnerable to a potential denial-of-service slow performance when processing inputs containing large sequences of incomplete HTML tags. The template filter...