FALCON-C: Flow-Based Analysis and Labeling for Connected Vehicular Network Cybersecurity

Along with the recent rise in popularity of Electric Vehicles EVs, Electric Vehicle Supply Equipment EVSE has emerged as a new target for cyber attacks. Therefore, ensuring the security and integrity of network communication between EVSE components and vehicular clients is a significant challenge...

PT-2026-41121

Name of the Vulnerable Software and Affected Versions libyang versions prior to 5.2.15 Description The lyb read string function in src/parser lyb.c contains an integer overflow. This occurs when parsing a maliciously crafted LYB binary blob, leading to a heap buffer overflow. An attacker capable ...

OpenAI Launches Daybreak for AI-Powered Vulnerability Detection and Patch Validation

OpenAI has launched Daybreak , a new cybersecurity initiative that brings together frontier artificial intelligence AI model capabilities and Codex Security to help organizations identify and patch vulnerabilities before attackers find a way in using the same issues. "Daybreak combines the...

Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning

We address a fundamental challenge in cybersecurity operations of translating governance frameworks into actionable mitigation decisions under realistic resource constraints. Frameworks such as the NIST Cybersecurity Framework CSF provide widely adopted measures of organizational maturity, but do...

DEBIAN-CVE-2026-42480

A stack-based out-of-bounds read vulnerability in VrmlDataScene::ReadLine in the VRML parser in Open CASCADE Technology OCCT V800rc5 allows attackers to cause a denial of service via a crafted VRML file. The issue occurs because the quoted-string escape handler uses ptr++anOffset without proper...

EUVD-2026-26602

An out-of-bounds read vulnerability in VrmlDataIndexedLineSet::TShape in the VRML parser in Open CASCADE Technology OCCT V800rc5 allows attackers to cause a denial of service via a crafted VRML file. The issue occurs because coordIndex values from parsed input are used as direct array indices...

Exploit for Embedded Malicious Code in Tukaani Xz

Security Review: CVE-2024-3094 XZ Utils Backdoor Автор:...

SMSI: System Model Security Inference: Automated Threat Modeling for Cyber-Physical Systems

Threat modeling for cyber-physical systems CPS remains a largely manual exercise. This project presents SMSI System Model Security Inference, a hybrid neuro-symbolic pipeline that starts from a SysML architecture model and produces a prioritized list of NIST 800-53 security controls. The prototyp...

SecScan

SecScan Local-LLM-powered security scanner for GitHub repos...

cruxss-bb-agent

CRUXSS Bug Bounty Agent A semi-autonomous bug bounty hunting...

Explainable Autonomous Cyber Defense Using Adversarial Multi-Agent Reinforcement Learning

Autonomous agents are increasingly deployed in both offensive and defensive cyber operations, creating high-speed, closed-loop interactions in critical infrastructure environments. Advanced Persistent Threat APT actors exploit "Living off the Land" techniques and targeted telemetry perturbations ...

Secure Quantum Communication: Simulation and Analysis of Quantum Key Distribution Protocols

Quantum computing poses significant threats to conventional cryptographic techniques such as RSA and AES, motivating the need for quantum secure communication methods. Quantum Key Distribution QKD offers information theoretic security based on fundamental quantum principles. This paper presents a...

Detecting and analyzing prompt abuse in AI tools

This second post in our AI Application Security series is all about moving from planning to practice. AI Application Series 1: Security considerations when adopting AI tools established how AI adoption expands the attack surface and our threat-modelling guidance on the Microsoft security blog...

Exploit for Out-of-bounds Write in Netapp Bootstrap_Os

Typeform DevSecOps Pipeline POC !Pythonhttps://img.shields...

PT-2026-24951

llama.cpp is an inference of several LLM models in C/C++. Prior to b8146, the gguf init from file impl in gguf.cpp is vulnerable to an Integer overflow, leading to an undersized heap allocation. Using the subsequent fread writes 528+ bytes of attacker-controlled data past the buffer boundary. Thi...

Security Considerations for Multi-Agent Systems

Multi-agent artificial intelligence systems or MAS are systems of autonomous agents that exercise delegated tool authority, share persistent memory, and coordinate via inter-agent communication. MAS introduces qualitatively distinct security vulnerabilities from those documented for singular AI...

CVE-2026-29075

Mesa is an open-source Python library for agent-based modeling, simulating complex systems and exploring emergent behaviors. In version 3.5.0 and prior, checking out of untrusted code in benchmarks.yml workflow may lead to code execution in privileged runner. This issue has been patched via commi...

PT-2026-23726

Name of the Vulnerable Software and Affected Versions Mesa versions prior to 3.5.1 Description Mesa is a Python library used for agent-based modeling and simulating complex systems. A flaw exists where checking out untrusted code within the benchmarks.yml workflow could allow for code execution...

Adobe SDK 1.7.1 2410 Overflow Analysis / Fuzzing Model

This Python script implements a comprehensive framework to model, detect, and analyze integer overflows in 32-bit arithmetic, particularly in the context of image memory allocation. The framework combines formal methods, stepwise arithmetic, symbolic execution, SMT-style constraint solving,...

Threat modeling AI applications

Proactively identifying, assessing, and addressing risk in AI systems We cannot anticipate every misuse or emergent behavior in AI systems. We can , however, identify what can go wrong, assess how bad it could be, and design systems that help reduce the likelihood or impact of those failure modes...