CVE-2025-53526

WeGIA is affected by a stored XSS in the file for memos (novo_memorando.php). The vulnerability is triggered when a memo is submitted and is executed in the browser upon loading listar_memorandos_antigos.php. The issue affects WeGIA versions prior to 3.4.3 and is fixed in 3.4.3. Remediation: upgr...

Learn how to build an AI-powered, unified SOC in new Microsoft e-book

The sheer volume of cyberattacks continues to increase at a breathtaking scale worldwide, with customers facing more than 600 million cybercriminal and nation-state attacks every day.1 To stem the growing tide of malicious cyber activity takes a commitment from all of us—individuals from operatio...

Information Exposure

Overview lollms is a python library for AI personality definition Affected versions of this package are vulnerable to Information Exposure via the authenticateuser function in the /server/endpoints/lollmsauthentication.py file. An attacker can enumerate valid usernames and incrementally guess...

CVE-2025-3777

Hugging Face Transformers versions up to 4.49.0 are affected by an improper input validation vulnerability in the imageutils.py file. The vulnerability arises from insecure URL validation using the startswith method, which can be bypassed through URL username injection. This allows attackers to...

CVE-2025-3777 Improper Input Validation in huggingface/transformers

Hugging Face Transformers versions up to 4.49.0 are affected by an improper input validation vulnerability in the imageutils.py file. The vulnerability arises from insecure URL validation using the startswith method, which can be bypassed through URL username injection. This allows attackers to...

CVE-2025-3777 Improper Input Validation in huggingface/transformers

Hugging Face Transformers versions up to 4.49.0 are affected by an improper input validation vulnerability in the imageutils.py file. The vulnerability arises from insecure URL validation using the startswith method, which can be bypassed through URL username injection. This allows attackers to...

TAG-140 Deploys DRAT V2 RAT, Targeting Indian Government, Defense, and Rail Sectors

A hacking group with ties other than Pakistan has been found targeting Indian government organizations with a modified variant of a remote access trojan RAT called DRAT. The activity has been attributed by Recorded Future's Insikt Group to a threat actor tracked as TAG-140, which it said overlaps...

linux-pam: Linux-pam directory Traversal

A flaw was found in linux-pam. The module pamnamespace may use access user-controlled paths without proper protection, allowing local users to elevate their privileges to root via multiple symlink attacks and race conditions...

linux-pam: Linux-pam directory Traversal

A flaw was found in linux-pam. The module pamnamespace may use access user-controlled paths without proper protection, allowing local users to elevate their privileges to root via multiple symlink attacks and race conditions...

linux-pam: Linux-pam directory Traversal

A flaw was found in linux-pam. The module pamnamespace may use access user-controlled paths without proper protection, allowing local users to elevate their privileges to root via multiple symlink attacks and race conditions...

linux-pam: Linux-pam directory Traversal

A flaw was found in linux-pam. The module pamnamespace may use access user-controlled paths without proper protection, allowing local users to elevate their privileges to root via multiple symlink attacks and race conditions...

webkitgtk: logic issue was addressed with improved state management

A logic issue was found in WebKitGTK and WPE WebKit. This flaw allows a remote attacker to process unexpected cross-origin attacks...

webkitgtk: Same Origin Policy bypass issue

A logic issue was found in WebKitGTK and WPE WebKit. This flaw allows a remote attacker to process unexpected cross-origin attacks...

webkitgtk: Visiting a malicious website may lead to address bar spoofing

A flaw was found in WebKit. This flaw allows a remote attacker to conduct spoofing attacks by exploiting an inconsistent user interface issue. The attacker could perform address bar spoofing by tricking a victim into visiting a specially crafted website...

linux-pam: Linux-pam directory Traversal

A flaw was found in linux-pam. The module pamnamespace may use access user-controlled paths without proper protection, allowing local users to elevate their privileges to root via multiple symlink attacks and race conditions...

The Hidden Threat in Plain Text: Attacking RAG Data Loaders

Large Language Models LLMs have transformed human-machine interaction since ChatGPT's 2022 debut, with Retrieval-Augmented Generation RAG emerging as a key framework that enhances LLM outputs by integrating external knowledge. However, RAG's reliance on ingesting external documents introduces new...

DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective

The widespread application of Deep Learning across diverse domains hinges critically on the quality and composition of training datasets. However, the common lack of disclosure regarding their usage raises significant privacy and copyright concerns. Dataset auditing techniques, which aim to...

BackFed: an Efficient and Standardized Benchmark Suite for Backdoor Attacks in Federated Learning

Federated Learning FL systems are vulnerable to backdoor attacks, where adversaries train their local models on poisoned data and submit poisoned model updates to compromise the global model. Despite numerous proposed attacks and defenses, divergent experimental settings, implementation errors, a...

Unbreakable Enterprise kernel security update

5.4.17-2136.344.4.3 - Add Zen34 clients Borislav Petkov AMD Orabug: 38129026 CVE-2024-36350 CVE-2024-36357 - x86/process: Move the buffer clearing before MONITOR Kim Phillips Orabug: 38129026 CVE-2024-36350 CVE-2024-36357 - KVM: SVM: Advertize TSA CPUID bits to guests Borislav Petkov AMD Orabug:...

Attacker'S Noise Can Manipulate Your Audio-Based LLM in the Real World

This paper investigates the real-world vulnerabilities of audio-based large language models ALLMs, such as Qwen2-Audio. We first demonstrate that an adversary can craft stealthy audio perturbations to manipulate ALLMs into exhibiting specific targeted behaviors, such as eliciting responses to...