390 matches found
Trident: Improving Malware Detection with LLMs and Behavioral Features
Traditionally, machine learning methods for PE malware detection have relied on static features like byte histograms, string information, and PE header contents. One barrier to incorporating dynamic analysis features has been the semi-structured nature of sandbox behavior reports. We show that,...
Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery
Decompilation -- recovering source code from compiled binaries -- is essential for security analysis, malware reverse engineering, and legacy software maintenance. However, existing decompilers produce code that often fails to compile or execute correctly, limiting their practical utility. We...
net_exploit_detector
netexploitdetector.py Behavioral network exploit detector f...
Security Is Relative: Training-Free Vulnerability Detection Via Multi-Agent Behavioral Contract Synthesis
Deep learning for vulnerability detection has shown promising results on early benchmarks, but recent evaluations reveal catastrophic degradation: models achieving F1 0.68 on legacy datasets collapse to 0.031 under strict deduplication. We identify the root cause as the semantic ambiguity problem...
How A Simple Misconfiguration Can Fuel Offline Attacker Tools
How A Simple Misconfiguration Can Fuel Offline Attacker Tools By Grant McDonald · April 9, 2026 It’s no secret that misconfigurations are a gateway for attackers. But that doesn’t mean misconfigurations won’t happen or that attackers won’t attempt to exploit them. In the latest research from our...
Digital Privacy in IoT: Exploring Challenges, Approaches and Open Issues
Privacy has always been a critical issue in the digital era, particularly with the increasing use of Internet of Things IoT devices. As the IoT continues to transform industries such as healthcare, smart cities, and home automation, it has also introduced serious challenges regarding the security...
From Component Manipulation to System Compromise: Understanding and Detecting Malicious MCP Servers
The model context protocol MCP standardizes how LLMs connect to external tools and data sources, enabling faster integration but introducing new attack vectors. Despite the growing adoption of MCP, existing MCP security studies classify attacks by their observable effects, obscuring how attacks...
The Importance of Behavioral Analytics in AI-Enabled Cyber Attacks
Artificial Intelligence AI is changing how individuals and organizations conduct many activities, including how cybercriminals carry out phishing attacks and iterate on malware. Now, cybercriminals are using AI to generate personalized phishing emails, deepfakes and malware that evade traditional...
Everyday tools, extraordinary crimes: the ransomware exfiltration playbook
Data exfiltration activity increasingly leverages legitimate native utilities, commonly deployed third-party tools, and cloud service clients, reducing the effectiveness of static indicators of compromise IOCs and tool-based blocking strategies. The Exfiltration Framework systematically normalize...
EUVD-2025-208658
IBM Aspera Console 3.3.0 through 3.4.8 could allow a privileged user to cause a denial of service due to improper enforcement of behavioral workflow...
CVE-2025-13459
IBM Aspera Console 3.3.0 through 3.4.8 could allow a privileged user to cause a denial of service due to improper enforcement of behavioral workflow...
AegisUI: Behavioral Anomaly Detection for Structured User Interface Protocols in AI Agent Systems
AI agents that build user interfaces on the fly assembling buttons, forms, and data displays from structured protocol payloads are becoming common in production systems. The trouble is that a payload can pass every schema check and still trick a user: a button might say "View invoice" while its...
EUVD-2026-9335
HomeBox is a home inventory and organization system. Prior to 0.24.0-rc.1, the notifier functionality allows authenticated users to specify arbitrary URLs to which the application sends HTTP POST requests. No validation or restriction is applied to the supplied host, IP address, or port. Although...
CVE-2026-3130
Improper Enforcement of Behavioral Controls in Devolutions Server 2025.3.15 and earlier allows an authenticated attacker with the delete permission to delete a PAM account that is currently checked out by selecting it alongside at least one non-checked-out account and performing a bulk deletion...
Aegis: Towards Governance, Integrity, and Security of AI Voice Agents
With the rapid advancement and adoption of Audio Large Language Models ALLMs, voice agents are now being deployed in high-stakes domains such as banking, customer service, and IT support. However, their vulnerabilities to adversarial misuse still remain unexplored. While prior work has examined...
netty-security-poc
Netty Security PoC — Deprecated API Risk & Patched API Validat...
📄 HEUR.Backdoor.Win32.Poison.gen DLL Hijacking
This code implements an advanced WININET.dll proxy via DLL hijacking that is designed as a defensive countermeasure against malware such as HEUR.Backdoor.Win32.Poison.gen. The malware family Poison loads a 32‑bit WININET.dll from its current directory, which enables execution flow hijacking MITRE...
Techniques of Modern Attacks
The techniques used in modern attacks have become an important factor for investigation. As we advance further into the digital age, cyber attackers are employing increasingly sophisticated and highly threatening methods. These attacks target not only organizations and governments but also extend...
Behavioral Analytics for Continuous Insider Threat Detection in Zero-Trust Architectures
Insider threats are a particularly tricky cybersecurity issue, especially in zero-trust architectures ZTA where implicit trust is removed. Although the rule of thumb is never trust, always verify, attackers can still use legitimate credentials and impersonate the standard user activity. In...
