3545 matches found
Revealing Weaknesses in Text Watermarking through Self-Information Rewrite Attacks
Text watermarking aims to subtly embed statistical signals into text by controlling the Large Language Model LLM's sampling process, enabling watermark detectors to verify that the output was generated by the specified model. The robustness of these watermarking algorithms has become a key factor...
Exploit for CVE-2025-24203
dirtyZero A simple customization toolbox that utilizes CVE-...
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Most existing unlearnable strategies focus on preventing unauthorized users from training single-task learning STL models with personal data. Nevertheless, the paradigm has recently shifted towards multi-task data and multi-task learning MTL, targeting generalist and foundation models that can...
CVE-2025-32441 Rack session gets restored after deletion
Rack is a modular Ruby web server interface. Prior to version 2.2.14, when using the Rack::Session::Pool middleware, simultaneous rack requests can restore a deleted rack session, which allows the unauthenticated user to occupy that session. Rack session middleware prepares the session at the...
Cisco IOS XE Software DHCP Snooping Denial of Service Vulnerability
A vulnerability in the DHCP snooping security feature of Cisco IOS XE Software could allow an unauthenticated, remote attacker to cause a full interface queue wedge, which could result in a denial of service DoS condition. This vulnerability is due to improper handling of DHCP request packets. An...
Another Move in the Deepfake Creation/Detection Arms Race
Deepfakes are now mimicking heartbeats In a nutshell Recent research reveals that high-quality deepfakes unintentionally retain the heartbeat patterns from their source videos, undermining traditional detection methods that relied on detecting subtle skin color changes linked to heartbeats. The...
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: a Scoping Review
Explainable Artificial Intelligence XAI has emerged as a pillar of Trustworthy AI and aims to bring transparency in complex models that are opaque by nature. Despite the benefits of incorporating explanations in models, an urgent need is found in addressing the privacy concerns of providing this...
SoK: Stealing Cars since Remote Keyless Entry Introduction and How to Defend from It
Remote Keyless Entry RKE systems have been the target of thieves since their introduction in automotive industry. Robberies targeting vehicles and their remote entry systems are booming again without a significant advancement from the industrial sector being able to protect against them...
Exploit for Cross-Site Request Forgery (CSRF) in Nosurf_Project Nosurf
CVE-2025-46721: CSRF...
[Free Webinar] Guide to Securing Your Entire Identity Lifecycle Against AI-Powered Threats
How Many Gaps Are Hiding in Your Identity System? It's not just about logins anymore. Today's attackers don't need to "hack" in—they can trick their way in. Deepfakes, impersonation scams, and AI-powered social engineering are helping them bypass traditional defenses and slip through unnoticed...
Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems
This study examines vulnerabilities in transformer-based automated short-answer grading systems used in medical education, with a focus on how these systems can be manipulated through adversarial gaming strategies. Our research identifies three main types of gaming strategies that exploit the...
Protocol Dialects As Formal Patterns: a Composable Theory of Lingos -- Technical Report
Protocol dialects are methods for modifying protocols that provide light-weight security, especially against easy attacks that can lead to more serious ones. A lingo is a dialect's key security component by making attackers unable to "speak" the lingo. A lingo's "talk" changes all the time,...
The Rise of Intelligent Security Validation: What a Month of Enhanced BAS Revealed
Running short on time but still want to stay in the know? Well, we’ve got you covered! We’ve condensed all the key takeaways into a handy audio summary. Our AI-driven podcasts are fit for on the go. Click right here to hear it all on CAASM & CDMB Inefficiencies! Four weeks ago, a major healthcare...
CISA: Dams Sector Personnel Screening Guide
The Dams Sector Personnel Screening Guide 2025 provides information to assist Dams Sector owners and operators in developing and implementing personnel screening protocols appropriate for their facilities. An effective screening protocol for potential employees and contractor support can contribu...
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
The expansion of large-scale text-to-image diffusion models has raised growing concerns about their potential to generate undesirable or harmful content, ranging from fabricated depictions of public figures to sexually explicit images. To mitigate these risks, prior work has devised machine...
Data Encryption Battlefield: a Deep Dive into the Dynamic Confrontations in Ransomware Attacks
In the rapidly evolving landscape of cybersecurity threats, ransomware represents a significant challenge. Attackers increasingly employ sophisticated encryption methods, such as entropy reduction through Base64 encoding, and partial or intermittent encryption to evade traditional detection...
📄 Ruby on Rails Cross Site Request Forgery
Ruby on Rails appears to include a one time pad for cross site request forgery protections to the user, making it possible to forge valid tokens. Good morning. All current versions and all versions since the 2022/2023 "fix" to the Rails cross-site request forgery CSRF protections continue to be...
Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
This work empirically evaluates machine learning models on two imbalanced public datasets KDDCUP99 and Credit Card Fraud 2013. The method includes data preparation, model training, and evaluation, using an 80/20 train/test split. Models tested include eXtreme Gradient Boosting XGB, Multi Layer...
CVE-2025-21605 Redis DoS Vulnerability due to unlimited growth of output buffers abused by unauthenticated client
Redis is an open source, in-memory database that persists on disk. In versions starting at 2.6 and prior to 7.4.3, An unauthenticated client can cause unlimited growth of output buffers, until the server runs out of memory or is killed. By default, the Redis configuration does not limit the outpu...
