1592 matches found
[SECURITY] Fedora 41 Update: apache-commons-beanutils-1.9.4-39.fc41
The scope of this package is to create a package of Java utility methods for accessing and modifying the properties of arbitrary JavaBeans. No dependencies outside of the JDK are required, so the use of this package is very lightweight...
FAME: a Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes
The widespread emergence of face-swap Deepfake videos poses growing risks to digital security, privacy, and media integrity, necessitating effective forensic tools for identifying the source of such manipulations. Although most prior research has focused primarily on binary Deepfake detection, th...
CVE-2025-45525
A NULL pointer dereference vulnerability has been identified in the JavaScript library microlight version 0.0.7, a lightweight syntax highlighting library. When processing elements with non-standard CSS color values, the library fails to validate the result of a regular expression match before...
RT-Thread 缓冲区错误漏洞
RT-Thread is an open source IoT real-time operating system RTOS from RT-Thread Open Source. A buffer error vulnerability exists in RT-Thread version 5.1.0, which stems from memory corruption due to the operation of the parameter from in the file rt-thread/components/lwp/lwpsyscall.c. The...
NanoZone: Scalable, Efficient, and Secure Memory Protection for Arm CCA
Arm Confidential Computing Architecture CCA currently isolates at the granularity of an entire Confidential Virtual Machine CVM, leaving intra-VM bugs such as Heartbleed unmitigated. The state-of-the-art narrows this to the process level, yet still cannot stop attacks that pivot within the same...
[SECURITY] Fedora 41 Update: nodejs22-22.15.1-1.fc41
Node.js is a platform built on Chrome's JavaScript runtime \ for easily building fast, scalable network applications. \ Node.js uses an event-driven, non-blocking I/O model that \ makes it lightweight and efficient, perfect for data-intensive \ real-time applications that run across distributed...
Low: Red Hat Security Advisory: openldap security update
An update for openldap is now available for Red Hat Enterprise Linux 9.0 Update Services for SAP Solutions. Red Hat Product Security has rated this update as having a security impact of Low. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is availabl...
CVE-2023-0373
The Lightweight Accordion WordPress plugin before 1.5.15 does not validate and escape some of its block options before outputting them back in a page/post where the block is embed, which could allow users with the contributor role and above to perform Stored Cross-Site Scripting attacks...
CVE-2011-1319
The Security component in IBM WebSphere Application Server WAS 6.1.0.x before 6.1.0.35 and 7.x before 7.0.0.15 allows remote authenticated users to cause a denial of service memory consumption by using a Lightweight Third-Party Authentication LTPA token for authentication...
Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
Industrial Internet of Things IIoT systems have become integral to smart manufacturing, yet their growing connectivity has also exposed them to significant cybersecurity threats. Traditional intrusion detection systems IDS often rely on centralized architectures that raise concerns over data...
PRUNE: a Patching Based Repair Framework for Certifiable Unlearning of Neural Networks
It is often desirable to remove a.k.a. unlearn a specific part of the training data from a trained neural network model. A typical application scenario is to protect the data holder's right to be forgotten, which has been promoted by many recent regulation rules. Existing unlearning methods invol...
Quantum-Resilient Blockchain for Secure Transactions in UAV-Assisted Smart Agriculture Networks
The integration of unmanned aerial vehicles UAVs into smart agriculture has enabled real-time monitoring, data collection, and automated farming operations. However, the high mobility, decentralized nature, and low-power communication of UAVs pose significant security challenges, particularly in...
Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction
LLM-based autonomous agents possess capabilities such as reasoning, tool invocation, and environment interaction, enabling the execution of complex multi-step tasks. The internal reasoning process, i.e., thought, of behavioral trajectory significantly influences tool usage and subsequent actions...
Privacy-Preserving Runtime Verification
Runtime verification offers scalable solutions to improve the safety and reliability of systems. However, systems that require verification or monitoring by a third party to ensure compliance with a specification might contain sensitive information, causing privacy concerns when usual runtime...
CVE-2025-29954 Windows Lightweight Directory Access Protocol (LDAP) Denial of Service Vulnerability
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389-ds-base: null pointer dereference leads to denial of service
A flaw was found in the 389-ds-base LDAP Server. This issue occurs when issuing a Modify DN LDAP operation through the ldap protocol, when the function return value is not tested and a NULL pointer is dereferenced. If a privileged user performs a ldap MODDN operation after a failed operation, it...
Microsoft Lightweight Directory Access Protocol(LDAP) 资源管理错误漏洞
Microsoft Lightweight Directory Access Protocol LDAP is a directory services protocol from Microsoft Corporation USA that runs on a layer above the TCP/IP stack. A resource management error vulnerability exists in Microsoft Lightweight Directory Access Protocol LDAP. An attacker could exploit thi...
Lightweight Hybrid Block-Stream Cryptographic Algorithm for the Internet of Things
In this thesis, a novel lightweight hybrid encryption algorithm named SEPAR is proposed, featuring a 16-bit block length and a 128-bit initialization vector. The algorithm is designed specifically for application in Internet of Things IoT technology devices. The design concept of this algorithm i...
Securing WiFi Fingerprint-Based Indoor Localization Systems from Malicious Access Points
WiFi fingerprint-based indoor localization schemes deliver highly accurate location data by matching the received signal strength indicator RSSI with an offline database using machine learning ML or deep learning DL models. However, over time, RSSI values degrade due to the malicious behavior of...
LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
The increasing complexity and scale of the Internet of Things IoT have made security a critical concern. This paper presents a novel Large Language Model LLM-based framework for comprehensive threat detection and prevention in IoT environments. The system integrates lightweight LLMs fine-tuned on...