LLM Agents Can Autonomously Exploit Real-World One-Day Vulnerabilities
LLM agents, specifically GPT-4, can autonomously exploit real-world one-day vulnerabilities in various systems, including websites, container management software, and vulnerable Python packages, with an 87% success rate. This capability far exceeds that of other LLMs and open-source vulnerability scanners.
Tracking Cryptocurrency-Related Illicit Campaigns on the Dark Web
Illicit activities on the dark web, especially those involving cryptocurrencies, have strong correlations and can be grouped into campaigns that span multiple onion sites and blockchain addresses.
AI-Powered Cyber Incident Response System for Efficient Detection and Analysis in Cloud Environments
This research proposes an AI-powered cyber incident response system that leverages network traffic classification, web intrusion detection, and malware analysis to enhance cybersecurity in cloud environments.
Cybersecurity Awareness of Cyber and Information Security Decision-Makers: Factors Associated with Adoption of Advanced Antimalware Solutions and Security Operation Centers
Awareness of well-known cybersecurity threats and solutions is quite low among cyber and information security decision-makers, and is positively associated with adoption of advanced antimalware solutions and security operation centers.
Efficient Malware Detection for Embedded Computing Systems with Limited Exposure
A code-aware data generation technique is introduced to efficiently detect emerging malware in embedded systems, even with limited exposure to malware samples.
Widespread SSH Vulnerability Exposes Servers to Potential Takeover by Hackers
A critical vulnerability in the SSH dependency, xz utils, allows hackers to potentially take over servers, causing widespread concern among security experts.
Cybersecurity Chaos: $10M Bounty, Linux Vulnerabilities, and Evolving Threats
The content covers a range of critical cybersecurity issues, including a $10 million bounty for the BlackCat ransomware gang, sophisticated malware targeting macOS and Android users, multiple vulnerabilities in Linux systems, and the resurgence of the TheMoon botnet exploiting outdated devices.
Adaptive Hybrid Intrusion Detection System to Detect Stealthy Attacks in Software Defined Networks
An incremental hybrid adaptive network-based intrusion detection system that can detect known and unknown stealthy attacks in Software Defined Networks by adapting to changes in attacker behavior (concept drift).
SecureReg: A Novel Approach for Early Detection of Malicious Domain Registrations
Innovative approach for early detection of suspicious domain registrations using a combination of NLP and MLP models.
RSBA: Robuste statistische Backdoor-Attacke unter privilegierten Szenarien
Statistische Merkmale als robuste Backdoor-Triggers nutzen.
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