CVE-2025-52898 Frappe account takeover via password reset token leakage

Frappe is a full-stack web application framework. Prior to versions 14.94.3 and 15.58.0, a carefully crafted request could lead to a malicious actor getting access to a user's password reset token. This can only be exploited on self hosted instances configured in a certain way. Frappe Cloud users...

PT-2025-27461 · Frappe · Frappe

Name of the Vulnerable Software and Affected Versions: Frappe versions prior to 14.94.3 Frappe versions prior to 15.58.0 Description: A carefully crafted request could lead to a malicious actor getting access to a user's password reset token. This issue can only be exploited on self-hosted...

PT-2025-37214

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: The Linux kernel contains a flaw related to file descriptor table allocations. When sysctl nr open is set to a very high value, processes attempting to use file descriptors near the...

Boosting Generative Adversarial Transferability with Self-Supervised Vision Transformer Features

The ability of deep neural networks DNNs come from extracting and interpreting features from the data provided. By exploiting intermediate features in DNNs instead of relying on hard labels, we craft adversarial perturbation that generalize more effectively, boosting black-box transferability...

CVE-2025-41256

Cyberduck and Mountain Duck improper handle TLS certificate pinning for untrusted certificates e.g., self-signed, since the certificate fingerprint is stored as SHA-1, although SHA-1 is considered weak. This issue affects Cyberduck: through 9.1.6; Mountain Duck: through 4.17.5...

Kibana 7.17.29, 8.17.8, 8.18.3, 9.0.3 Security Update (ESA-2025-09)

Kibana Heap Corruption via Crafted HTML Page due to Chromium Type Confusion ESA-2025-09 On March 10, 2025, Google announced CVE-2025-2135, which can lead to heap corruption via a crafted HTML page through a Type Confusion vulnerability. Affected Versions: Kibana versions up to and including...

Diffusion-Based Task-Oriented Semantic Communications with Model Inversion Attack

Semantic communication has emerged as a promising neural network-based system design for 6G networks. Task-oriented semantic communication is a novel paradigm whose core goal is to efficiently complete specific tasks by transmitting semantic information, optimizing communication efficiency and ta...

PT-2025-26689 · Pdf.Js +1 · Pdf.Js +1

Name of the Vulnerable Software and Affected Versions: Gogs versions 0.14.0+dev and prior Description: Gogs is an open source self-hosted Git service. The issue is a stored cross-site scripting XSS vulnerability, which allows client-side Javascript code execution. This is caused by the usage of a...

Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks

Website Fingerprinting WF attacks aim to infer which websites a user is visiting by analyzing traffic patterns, thereby compromising user anonymity. Although this technique has been demonstrated to be effective in controlled experimental environments, it remains largely limited to small-scale...

Self-Stabilizing Replicated State Machine Coping with Byzantine and Recurring Transient Faults

Whitepaper called Self-Stabilizing Replicated State Machine Coping With Byzantine And Recurring Transient Faults...

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation

In the life-cycle of software development, testing plays a crucial role in quality assurance. Proper testing not only increases code coverage and prevents regressions but it can also ensure that any potential vulnerabilities in the software are identified and effectively fixed. However, creating...

Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability

Phishing attacks remain one of the most prevalent and persistent cybersecurity threat with attackers continuously evolving and intensifying tactics to evade the general detection system. Despite significant advances in artificial intelligence and machine learning, faithfully reproducing the...

Towards Effective Complementary Security Analysis Using Large Language Models

A key challenge in security analysis is the manual evaluation of potential security weaknesses generated by static application security testing SAST tools. Numerous false positives FPs in these reports reduce the effectiveness of security analysis. We propose using Large Language Models LLMs to...

From Thinking to Output: Chain-Of-Thought and Text Generation Characteristics in Reasoning Language Models

Recently, there have been notable advancements in large language models LLMs, demonstrating their growing abilities in complex reasoning. However, existing research largely overlooks a thorough and systematic comparison of these models' reasoning processes and outputs, particularly regarding thei...

SAFER-D: a Self-Adaptive Security Framework for Distributed Computing Architectures

The rise of the Internet of Things and Cyber-Physical Systems has introduced new challenges on ensuring secure and robust communication. The growing number of connected devices increases network complexity, leading to higher latency and traffic. Distributed computing architectures DCAs have gaine...

Astra Linux – Vulnerability in Linux 6.1

In the Linux kernel, the following vulnerability has been resolved: exfat: Fixed the infinite loop in exfatreaddir. If the file system is corrupted in such a way that a cluster links itself to another cluster in the cluster chain, and there is an unused directory entry in the cluster, the variabl...

Theoretically Unmasking Inference Attacks against LDP-Protected Clients in Federated Vision Models

Federated Learning enables collaborative learning among clients via a coordinating server while avoiding direct data sharing, offering a perceived solution to preserve privacy. However, recent studies on Membership Inference Attacks MIAs have challenged this notion, showing high success rates...

A New Representation of Binary Sequences by Means of Boolean Functions

Boolean functions and binary sequences are main tools used in cryptography. In this work, we introduce a new bijection between the set of Boolean functions and the set of binary sequences with period a power of two. We establish a connection between them which allows us to study some properties o...

B&R Automation Runtime Use of a Broken or Risky Cryptographic Algorithm (CVE-2024-8603)

B&R Automation Runtime and B&R mapp View generates self-signed certificates during the boot-up process if no certificates have been configured in the B&R Automation Studio project. These certificates are signed using an algorithm, which is no longer considered to be secure. This plugin only works...

Know thyself, know thy environment

Welcome to this week's edition of the Threat Source newsletter. This week, I'm coming to you from Cisco Live in San Diego where I've just talked to a room that some of you may have been in, so writing this feels a bit surreal. It's really hard to try and write a cogent newsletter with all that's...