RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection

Ransomware poses a serious and fast-acting threat to critical systems, often encrypting files within seconds of execution. Research indicates that ransomware is the most reported cybercrime in terms of financial damage, highlighting the urgent need for early-stage detection before encryption is...

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments

The advancement of Large Language Models LLMs has raised concerns regarding their dual-use potential in cybersecurity. Existing evaluation frameworks overwhelmingly focus on Information Technology IT environments, failing to capture the constraints, and specialized protocols of Operational...

SoK: Understanding Anti-Forensics Concepts and Research Practices across Forensic Subdomains

Anti-forensics includes a growing set of techniques designed to obstruct forensic analysis. While cybercriminals increasingly rely on these methods, they also help researchers identify and remedy weaknesses in forensic tools, advancing the overall robustness of digital forensics. Despite repeated...

Aether - Adaptive Exploit and Threat Hunting Engine for EVM-based Repositories 5.0

Aether is a Python-based framework for analyzing Solidity smart contracts, generating vulnerability findings, producing Foundry-based proof-of-concept PoC tests, and validating exploits on mainnet forks. It combines Solidity AST parsing, taint analysis, control flow graph analysis, cross-contract...

Invisible Adversaries: A Systematic Study of Session Manipulation Attacks on VPNs

Virtual Private Networks VPNs are widely used for censorship evasion and traffic protection. VPN users expect to be provided with adequate security protection, and at the same time not be affected by other users connected to the same VPN server, which can be illustrated as the non-interference...

Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing

Developers utilize third-party libraries to improve productivity, which also introduces potential security risks. Existing approaches generate tests for public functions to trigger library vulnerabilities from client programs, yet they depend on proof-of-concepts PoCs, which are often unavailable...

Automating Cloud Security and Forensics through a Secure-By-Design Generative AI Framework

As cloud environments become increasingly complex, cybersecurity and forensic investigations must evolve to meet emerging threats. Large Language Models LLMs have shown promise in automating log analysis and reasoning tasks, yet they remain vulnerable to prompt injection attacks and lack forensic...

Explainable PQC: A Layered Interpretive Framework for Post-Quantum Cryptographic Security Assumptions

This paper studies how post-quantum cryptographic PQC security assumptions can be represented and communicated through a structured, layered framework that is useful for technical interpretation but does not replace formal cryptographic proofs. We propose "Explainable PQC,'' an interdisciplinary...

Vienna Assistant 1.2.542 Local Privilege Escalation

Vienna Assistant MacOS version 1.2.542 suffers from a missing validation vulnerability that allows for privilege escalation...

Seclens: Role-Specific Evaluation of LLM'S for Security Vulnerablity Detection

Existing benchmarks for LLM-based vulnerability detection compress model performance into a single metric, which fails to reflect the distinct priorities of different stakeholders. For example, a CISO may emphasize high recall of critical vulnerabilities, an engineering leader may prioritize...

The Quantum-Cryptographic Co-Evolution

As quantum computing matures toward the realization of Cryptographically Relevant Quantum Computers CRQC, global cryptographic infrastructure faces an existential threat. This paper introduces a two-dimensional coordinate system to map the co-evolution of cryptographic resilience x-axis and...

Cybercrime As a Service: A Scoping Review

Cloud computing has drastically altered the ways in which it is possible to deliver information technologies in a service-led structure, however, this has also been reflected in the cybercrime domain. Cybercrime as a Service is an economic model where a technically skilled actor offers a given...

Apple Security Advisory 03-24-2026-9

Apple Security Advisory 03-24-2026-9 - Safari 26.4 addresses bypass vulnerabilities...

Red-MIRROR: Agentic LLM-Based Autonomous Penetration Testing with Reflective Verification and Knowledge-Augmented Interaction

Web applications remain the dominant attack surface in cybersecurity, where vulnerabilities such as SQL injection, XSS, and business logic flaws continue to cause significant data breaches. While penetration testing is effective for identifying these weaknesses, traditional manual approaches are...

On the Vulnerability of Deep Automatic Modulation Classifiers to Explainable Backdoor Threats

Deep learning DL has been widely studied for assisting applications of modern wireless communications. One of the applications is automatic modulation classification AMC. However, DL models are found to be vulnerable to adversarial machine learning AML threats. One of the most persistent and...

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

Large language models LLMs increasingly rely on explicit chain-of-thought CoT reasoning to solve complex tasks, yet the safety of the reasoning process itself remains largely unaddressed. Existing work on LLM safety focuses on content safety--detecting harmful, biased, or factually incorrect...

Towards Remote Attestation of Microarchitectural Attacks: The Case of Rowhammer

Microarchitectural vulnerabilities increasingly undermine the assumption that hardware can be treated as a reliable root of trust. Prevention mechanisms often lag behind evolving attack techniques, leaving deployed systems unable to assume continued trustworthiness. We propose a shift from...

WordPress WPvivid 0.9.123 Payload Generator / Scanner

This Python script is a proof of concept tool designed to generate a crafted payload targeting the WPvivid Backup Migration plugin mechanism in WordPress. The script encrypts a JSON object containing file data using AES-CBC with a null key and IV, formats it according to the plugin's expected...

Microsoft Windows Image File Execution Options (IFEO) Persistence

This PHP script leverages legitimate Windows debugging features to establish persistent remote access. This technique leverages the Image File Execution Options IFEO registry keys to configure a monitor process that automatically executes when a specified target process exits. Windows allows...

Automatic Attack Script Generation: A MDA Approach

It is widely recognized that practical exercises are crucial for teaching cybersecurity in higher education. However, their setup is not only expensive, time-consuming, and prone to numerous errors, but also requires technical and programming skills to create attack contexts and scripts. To...

Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing

In modern transportation networks, adversaries can manipulate routing algorithms using false data injection attacks, such as simulating heavy traffic with multiple devices running crowdsourced navigation applications, to mislead vehicles toward suboptimal routes and increase congestion. To addres...

Multi‑Layer Encrypted Python Payload Loader AES‑GCM + XOR + Zlib

This Python script acts as a loader that decrypts and executes a protected Python payload using multiple cryptographic and obfuscation layers. The program first requests a password from the user and derives a 256‑bit encryption key using PBKDF2 with a fixed salt salt123. The encrypted payload is...

Security-By-Design for LLM-Based Code Generation: Leveraging Internal Representations for Concept-Driven Steering Mechanisms

Large Language Models LLMs show remarkable capabilities in understanding natural language and generating complex code. However, as practitioners adopt CodeLLMs for increasingly critical development tasks, research reveals that these models frequently generate functionally correct yet insecure cod...

MirrorDrift: Actuated Mirror-Based Attacks on LiDAR SLAM

LiDAR SLAM provides high-accuracy localization but is fragile to point-cloud corruption because scan matching assumes geometric consistency. Prior physical attacks on LiDAR SLAM largely rely on LiDAR spoofing via external signal injection, which requires sensor-specific timing knowledge and is...

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...

Learning the APT Kill Chain: Temporal Reasoning over Provenance Data for Attack Stage Estimation

Advanced Persistent Threats APTs evolve through multiple stages, each exhibiting distinct temporal and structural behaviors. Accurate stage estimation is critical for enabling adaptive cyber defense. This paper presents StageFinder, a temporal graph learning framework for multi-stage attack...

OpenAnt LLM-Based Vulnerability Discovery

OpenAnt from Knostic is an open source LLM-based vulnerability discovery product that helps defenders proactively find verified security flaws while minimizing both false positives and false negatives. Stage 1 detects. Stage 2 attacks. What survives is real...

Challenges and Design Considerations for Finding CUDA Bugs through GPU-Native Fuzzing

Modern computing is shifting from homogeneous CPU-centric systems to heterogeneous systems with closely integrated CPUs and GPUs. While the CPU software stack has benefited from decades of memory safety hardening, the GPU software stack remains dangerously immature. This discrepancy presents a...

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...

Internet Malware Propagation: Dynamics and Control through SEIRV Epidemic Model with Relapse and Intervention

Malware attacks in today's vast digital ecosystem pose a serious threat. Understanding malware propagation dynamics and designing effective control strategies are therefore essential. In this work, we propose a generic SEIRV model formulated using ordinary differential equations to study malware...

Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital Forensic Excellence

The Forensics Investigations Network in Digital Sciences FINDS Research Center of Excellence CoE, funded by the U.S. Army Research Laboratory, advances Digital Forensic Engineering Education DFEE through an integrated research education framework for AI enabled cybersecurity workforce development...

FreeBSD Security Advisory - FreeBSD-SA-26:05.route

FreeBSD Security Advisory - The rtsockmsgbuffer function serializes routing information into a buffer. As a part of this, it copies sockaddr structures into a sockaddrstorage structure on the stack. It assumes that the source sockaddr length field had already been validated, but this is not...

CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions

The evaluation of Large Language Models LLMs for code generation relies heavily on the quality and robustness of test cases. However, existing benchmarks often lack coverage for subtle corner cases, allowing incorrect solutions to pass. To bridge this gap, we propose CodeHacker, an automated agen...

Predicting Known Vulnerabilities from Attack News: A Transformer-Based Approach

Identifying the vulnerabilities exploited during cyberattacks is essential for enabling timely responses and effective mitigation in software security. This paper directly examines the process of predicting software vulnerabilities, specifically Common Vulnerabilities and Exposures CVEs, from...

FortiGate Exposure Audit Tool / Double Slash Path Validation Scanner

The FortiGate Exposure Audit Tool is a defensive security auditing script designed to identify potential path validation inconsistencies in devices that appear to be running FortiGate by Fortinet. This tool does not attempt exploitation, file extraction, or configuration access...

Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study

The growing reliance on AI-identified digital evidence raises significant concerns about its reliability, particularly as large language models LLMs are increasingly integrated into forensic investigations. This paper proposes a structured framework that automates forensic artifact extraction,...

Increase in Malware Enabled ATM Jackpotting Incidents across United States

The Federal Bureau of Investigation FBI is releasing this FLASH to disseminate indicators of compromise IOCs and technical details associated with malware enabled ATM jackpotting. Threat actors exploit physical and software vulnerabilities in ATMs and deploy malware to dispense cash without a...

Influence of Autoencoder Latent Space on Classifying IoT CoAP Attacks

The Internet of Things IoT presents a unique cybersecurity challenge due to its vast network of interconnected, resource-constrained devices. These vulnerabilities not only threaten data integrity but also the overall functionality of IoT systems. This study addresses these challenges by explorin...

Trojan Horses in Recruiting: A Red-Teaming Case Study on Indirect Prompt Injection in Standard Vs. Reasoning Models

As Large Language Models LLMs are increasingly integrated into automated decision-making pipelines, specifically within Human Resources HR, the security implications of Indirect Prompt Injection IPI become critical. While a prevailing hypothesis posits that "Reasoning" or "Chain-of-Thought" Model...

Arc2Morph: Identity-Preserving Facial Morphing with Arc2Face

Face morphing attacks are widely recognized as one of the most challenging threats to face recognition systems used in electronic identity documents. These attacks exploit a critical vulnerability in passport enrollment procedures adopted by many countries, where the facial image is often acquire...

OMNI-STRIKE Multi‑Protocol Wireless Security Testing Platform

OMNI‑STRIKE is a multi‑protocol wireless security assessment application built for Flipper Zero. It is designed to discover nearby wireless devices and perform controlled, authorized security testing in a structured and logged environment...

OpenSSL 3.x Realistic ASN.1 / PKCS#12 Denial of Service Tool

This proof of concept builds structurally correct ASN.1 DER / PKCS12 files designed to stress-test OpenSSL's parser and memory handling. It focuses on non-exploitative impacts such as denial of service, excessive memory consumption, deep recursion, malformed lengths, and duplicated/overlapping...

A Trajectory-Based Safety Audit of Clawdbot (OpenClaw)

Clawdbot is a self-hosted, tool-using personal AI agent with a broad action space spanning local execution and web-mediated workflows, which raises heightened safety and security concerns under ambiguity and adversarial steering. We present a trajectory-centric evaluation of Clawdbot across six...

In-Context Autonomous Network Incident Response: An End-To-End Large Language Model Agent Approach

Rapidly evolving cyberattacks demand incident response systems that can autonomously learn and adapt to changing threats. Prior work has extensively explored the reinforcement learning approach, which involves learning response strategies through extensive simulation of the incident. While this...

pgAdmin 4 Multi‑Target Vulnerability Scanner

This project is a PHP‑based multi‑target vulnerability scanner designed to identify potential exposure to CVE‑2025‑13780 affecting pgAdmin 4 versions 8.14 and below. The tool operates as a heuristic / threat‑intelligence scanner, not an exploit...

An Empirical Study of the Imbalance Issue in Software Vulnerability Detection

Vulnerability detection is crucial to protect software security. Nowadays, deep learning DL is the most promising technique to automate this detection task, leveraging its superior ability to extract patterns and representations within extensive code volumes. Despite its promise, DL-based...

Nikto Web Scanner 2.6.0

Nikto is an Open Source GPL web server scanner which performs comprehensive tests against web servers for multiple items, including thousands of potentially dangerous files/programs, checks for outdated versions of over 1500 server components, and version specific problems on hundreds of servers...

H.265/HEVC Video Steganalysis Based on CU Block Structure Gradients and IPM Mapping

Existing H.265/HEVC video steganalysis research mainly focuses on statistical feature modeling at the levels of motion vectors MV, intra prediction modes IPM, or transform coefficients. In contrast, studies targeting the coding-structure level - especially the analysis of block-level steganograph...

motionEye 0.43.1b4 Remote Code Execution

Client-side validation in motionEye's web UI can be bypassed via overriding the JS validation function. Arbitrary values including shell interpolation syntax can be saved into the motion config. When motion is restarted, the motion process interprets the config and can execute shell syntax embedd...

GoodVibe: Security-By-Vibe for LLM-Based Code Generation

Large language models LLMs are increasingly used for code generation in fast, informal development workflows, often referred to as vibe coding, where speed and convenience are prioritized, and security requirements are rarely made explicit. In this setting, models frequently produce functionally...