488 matches found
A week in security (October 6 – October 12)
Last week on Malwarebytes Labs: Apple voices concerns over age-check law that could put user privacy at risk Your passwords don’t need so many fiddly characters, NIST says Millions of very private chats exposed by two AI companion apps Fake VPN and streaming app drops malware that drains your ban...
Modeling scams see mature models as attractive new prospects
The BBC reported on modeling scams targeting older models. Modeling scams aren't new, but it’s worth looking at how they spread today, how to spot them, and—most importantly—how to avoid falling victim to them. The classic pitch goes like this: Someone walks up to you in the street and says, "You...
EUVD-2011-0804
Malware in sbrugna...
EUVD-2020-18145
Malware in sbrugna...
EUVD-2023-24333
Malicious code in bioql PyPI...
EUVD-2021-6998
Malicious code in bioql PyPI...
Digital Threat Modeling Under Authoritarianism
Today's world requires us to make complex and nuanced decisions about our digital security. Evaluating when to use a secure messaging app like Signal or WhatsApp, which passwords to store on your smartphone, or what to share on social media requires us to assess risks and make judgments...
Ashlar-Vellum Cobalt Memory Corruption Vulnerability
Ashlar-Vellum Cobalt is a 3D modeling software developed by Ashlar Vellum, which supports Windows and Mac systems, and is mainly used for 3D modeling and CAD drawing in industrial product design, architectural design and other fields. A memory corruption vulnerability exists in Ashlar-Vellum Coba...
Ashlar-Vellum Cobalt Type Obfuscation Vulnerability (CNVD-2025-23022)
Ashlar-Vellum Cobalt is a 3D modeling software developed by Ashlar Vellum, which supports Windows and Mac systems, and is mainly used for 3D modeling and CAD drawing in industrial product design, architectural design and other fields. A type confusion vulnerability exists in Ashlar-Vellum Cobalt,...
Ashlar-Vellum Cobalt Integer Overflow Vulnerability
Ashlar-Vellum Cobalt is a 3D modeling software developed by Ashlar Vellum, which supports Windows and Mac systems, and is mainly used for 3D modeling and CAD drawing in industrial product design, architectural design and other fields. Ashlar-Vellum Cobalt suffers from an integer overflow...
Ashlar-Vellum Cobalt Out-of-Bounds Read Vulnerability (CNVD-2025-22913)
Ashlar-Vellum Cobalt is a 3D modeling software developed by Ashlar Vellum, which supports Windows and Mac systems, and is mainly used for 3D modeling and CAD drawing in industrial product design, architectural design and other fields. Ashlar-Vellum Cobalt suffers from an out-of-bounds read...
Ashlar-Vellum Cobalt integer overflow vulnerability (CNVD-2025-22942)
Ashlar-Vellum Cobalt is a 3D modeling software developed by Ashlar Vellum, which supports Windows and Mac systems, and is mainly used for 3D modeling and CAD drawing in industrial product design, architectural design and other fields. An integer overflow vulnerability exists in Ashlar-Vellum...
Ashlar-Vellum Cobalt Out-of-Bounds Read Vulnerability (CNVD-2025-22916)
Ashlar-Vellum Cobalt is a 3D modeling software developed by Ashlar Vellum, which supports Windows and Mac systems, and is mainly used for 3D modeling and CAD drawing in industrial product design, architectural design and other fields. Ashlar-Vellum Cobalt suffers from an out-of-bounds read...
Ashlar-Vellum Cobalt 安全漏洞
Ashlar-Vellum Cobalt is a 3D modeling software developed by Ashlar Vellum, which supports Windows and Mac systems, and is mainly used for 3D modeling and CAD drawing in industrial product design, architectural design and other fields. A type confusion vulnerability exists in Ashlar-Vellum Cobalt,...
Bridging Threat Models and Detections: Formal Verification Via CADP
Threat detection systems rely on rule-based logic to identify adversarial behaviors, yet the conformance of these rules to high-level threat models is rarely verified formally. We present a formal verification framework that models both detection logic and attack trees as labeled transition syste...
AegisShield: Democratizing Cyber Threat Modeling with Generative AI
The increasing sophistication of technology systems makes traditional threat modeling hard to scale, especially for small organizations with limited resources. This paper develops and evaluates AegisShield, a generative AI enhanced threat modeling tool that implements STRIDE and MITRE ATT&CK to...
Rethinking Denial-Of-Service: a Conditional Taxonomy Unifying Availability and Sustainability Threats
This paper proposes a unified, condition-based framework for classifying both legacy and cloud-era denial-of-service DoS attacks. The framework comprises three interrelated models: a formal conditional tree taxonomy, a hierarchical lattice structure based on order theory, and a conceptual Venn...
Comprehensive MCP Security Checklist: Protecting Your AI-Powered Infrastructure
With innovation comes risk. As organizations race to build AI-first infrastructure, security is struggling to keep pace. Multi-Agentic Systems – those built on Large Language Models LLMs and Multi-Component Protocols MCP - bring immense potential, but also novel vulnerabilities that traditional...
KillChainGraph: ML Framework for Predicting and Mapping ATT&CK Techniques
The escalating complexity and volume of cyberattacks demand proactive detection strategies that go beyond traditional rule-based systems. This paper presents a phase-aware, multi-model machine learning framework that emulates adversarial behavior across the seven phases of the Cyber Kill Chain...
