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- New Fuzzing Framework SPIDER Detects Performance Issues in ONOS - Researchers have introduced SPIDER, a fuzzing framework that identifies stateful performance issues in the ONOS software-defined network controller, successfully uncovering 10 new issues across 157 network services.
- Advancements in Ransomware Detection Using NVMe Streams - Researchers have developed two transformer-based models, the Command-Level Transformer and the Patch-Level Transformer, to enhance ransomware detection in NVMe command sequences, achieving notable improvements over traditional methods.
- Citadel Develops Secure Memory Sharing Against Spectre Attacks - Citadel has developed a new security approach called relaxed microarchitectural isolation (RMI) to enable secure memory sharing in sensitive programs while minimizing information leakage from potential attackers.
- New Framework Improves Android Malware Detection Stability - Researchers have introduced TIF, a new temporal invariant training framework aimed at enhancing the stability of Android malware detection systems against evolving malware variants.
- Survey on Explainable AI Techniques for Malware Detection - A survey emphasizes the significance of explainable AI in enhancing malware detection by improving model interpretability while preserving accuracy.
- New Model Aims to Predict Ransomware Threats - A new machine learning model has been developed to help organizations identify and prioritize ransomware risks by analyzing historical victim data and adversary profiles.
- Analysis of NanoCore Remote Access Trojan Malware - An analysis of the NanoCore Remote Access Trojan highlights its espionage capabilities, including data theft and communication with a Command-and-Control server, while emphasizing the importance of proactive security measures.
- Interoperability and Security: An Analytical Framework - The article explores the tension between interoperability mandates proposed by regulators and the security concerns raised by big tech companies, offering a framework to understand the implications for competition and market dynamics.
- Increase in Code Obfuscation Practices in Android Apps - A study analyzing over 500,000 Android APKs reveals a 13% increase in code obfuscation techniques from 2016 to 2023, with ProGuard and Allatori being the most commonly used tools.
- Safety Risks Identified in AI-Powered Search Engines - A study highlights significant safety risks associated with AI-Powered Search Engines, revealing their tendency to generate harmful content and suggesting the need for improved safety measures.
- XE Group Exploits VeraCore and Telerik UI Vulnerabilities - The XE Group has been linked to the exploitation of zero-day vulnerabilities in software products, shifting their focus from credit card skimming to targeted information theft in supply chains.
- AnyDesk Vulnerability CVE-2024-12754 Allows Privilege Escalation - A critical vulnerability in AnyDesk, identified as CVE-2024-12754, allows low-privileged users to escalate their access and potentially control systems, prompting the release of a patch in version v9.0.1.
- Shellshock Vulnerability Affects GNU/Bash Shell Systems - The Shellshock vulnerability, discovered in 2014, is a critical flaw in the GNU/Bash shell that allows remote code execution on certain web servers, particularly those using CGI scripts.
- Concerns Raised Over Exposed Ollama APIs and DeepSeek Models - Concerns have been raised over data security related to exposed Ollama APIs, with significant adoption of AI tools like DeepSeek prompting calls for improved security measures.
- Malicious Code Found in Hugging Face Machine Learning Models - Recent research has identified vulnerabilities in Hugging Face's platform related to the use of Python's Pickle file serialization, revealing that malicious code was embedded in certain machine learning models despite existing security measures.
- DeepSeek iOS App Identified with Security Vulnerabilities - Researchers have identified significant security vulnerabilities in the DeepSeek app, leading to regulatory proposals and raising privacy concerns.
- Lo-Fi TryHackMe Room Explores Local File Inclusion Vulnerabilities - The Lo-Fi room on TryHackMe offers a guide for exploiting Local File Inclusion vulnerabilities, detailing steps for accessing sensitive files through directory traversal techniques.
- New Framework Proposed for Cybercrime Investigation in Smart Cities - A new framework called the Smart City Ontological Paradigm Expression (SCOPE) has been proposed to improve cybercrime investigation in Smart City Infrastructure by addressing existing forensic tool limitations and enhancing information sharing among investigators.
- Global Takedown of DDoS-for-Hire Services Shows Mixed Results - Recent law enforcement efforts to dismantle DDoS-for-hire services have resulted in short-term reductions in attack volumes, but the resilience of the market remains evident as many seized sites quickly re-emerged.