Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection

Cross-site scripting XSS remains a persistent web security vulnerability, especially because obfuscation can change the surface form of a malicious payload while preserving its behavior. These transformations make it difficult for traditional and machine learning-based detection systems to reliab...

Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining

Anomaly-based Intrusion Detection Systems IDSs ensure protection against malicious attacks on networked systems. While deep learning-based IDSs achieve effective performance, their limited trustworthiness due to black-box architectures remains a critical constraint. Despite existing explainable...

Nuclei 3.8.0

Nuclei is a modern, high-performance vulnerability scanner that leverages simple YAML-based templates. It empowers you to design custom vulnerability detection scenarios that mimic real-world conditions, leading to zero false positives...

MLDAS: Machine Learning Dynamic Algorithm Selection for Software-Defined Networking Security

Network security is a critical concern in the digital landscape of today, with users demanding secure browsing experiences and protection of their personal data. This study explores the dynamic integration of Machine Learning ML algorithms with Software-Defined Networking SDN controllers to enhan...

LLM4C2Rust: Large Language Models for Automated Memory-Safe Code Transpilation

Memory safety has long been a critical challenge in software engineering, particularly for legacy systems written in memory-unsafe languages such as C and C++. Rust, one of the youngest modern programming languages, offers built-in memory-safety guarantees that make it a strong candidate for secu...

Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities

According to constructivist theory, students learn software security more effectively when examples are grounded in their own code. Generic examples often fail to connect with students' prior work, limiting engagement and understanding. Advances in LLMs are now making it possible to automatically...

LLM-Guided Prompt Evolution for Password Guessing

Passwords still remain a dominant authentication method, yet their security is routinely subverted by predictable user choices and large-scale credential leaks. Automated password guessing is a key tool for stress-testing password policies and modeling attacker behavior. This paper applies...

The Code Whisperer: LLM and Graph-Based AI for Smell and Vulnerability Resolution

Code smells and software vulnerabilities both increase maintenance cost, yet they are often handled by separate tools that miss structural context and produce noisy warnings. This paper presents The Code Whisperer, a hybrid framework that combines graph-based program analysis with large language...

Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit

Large language models LLMs have recently emerged as promising tools for augmenting Security Operations Center SOC workflows, with vendors increasingly marketing autonomous AI solutions for SOCs. However, there remains a limited empirical understanding of how such tools are used, perceived, and...

Architectural Implications of the UK Cyber Security and Resilience Bill

The UK Cyber Security and Resilience CS&R Bill represents the most significant reform of UK cyber legislation since the Network and Information Systems NIS Regulations 2018. While existing analysis has addressed the Bill's regulatory requirements, there is a critical gap in guidance on the...

VibeGuard: A Security Gate Framework for AI-Generated Code

"Vibe coding," in which developers delegate code generation to AI assistants and accept the output with little manual review, has gained rapid adoption in production settings. On March 31, 2026, Anthropic's Claude Code CLI shipped a 59.8 MB source map file in its npm package, exposing roughly...

Apple Security Advisory 03-24-2026-1

Apple Security Advisory 03-24-2026-1 - iOS 26.4 and iPadOS 26.4 addresses buffer overflow, bypass, information leakage, null pointer, out of bounds access, and use-after-free vulnerabilities...

FreeBSD Security Advisory - FreeBSD-SA-26:08.rpcsec_gss

FreeBSD Security Advisory - Each RPCSECGSS data packet is validated by a routine which checks a signature in the packet. This routine copies a portion of the packet into a stack buffer, but fails to ensure that the buffer is sufficiently large, and a malicious client can trigger a stack overflow...

WPProbe Plugin Enumeration Tool 0.11.2

A fast WordPress plugin and theme scanner that detects installed plugins via REST API enumeration and themes from HTML discovery, then maps them to known vulnerabilities. Over 5,000 plugins detectable without brute-force, thousands more with it...

Targeted Adversarial Traffic Generation : Black-Box Approach to Evade Intrusion Detection Systems in IoT Networks

The integration of machine learning ML algorithms into Internet of Things IoT applications has introduced significant advantages alongside vulnerabilities to adversarial attacks, especially within IoT-based intrusion detection systems IDS. While theoretical adversarial attacks have been extensive...

Cyber Deception for Mission Surveillance Via Hypergame-Theoretic Deep Reinforcement Learning

Unmanned Aerial Vehicles UAVs are valuable for mission-critical systems like surveillance, rescue, or delivery. Not surprisingly, such systems attract cyberattacks, including Denial-of-Service DoS attacks to overwhelm the resources of mission drones MDs. How can we defend UAV mission systems...

Security of Binary-Modulated Optical Key Distribution against Quantum-Enhanced Coherent Eavesdropping

Optical key distribution OKD protects the physical layer of communication links by taking advantage of the inherent noise present in the photodetection process. It allows for efficient generation of a shared random key between two distant users which can subsequently be used for cryptographic...

Quantifying Memory Cells Vulnerability for DRAM Security

Dynamic Random Access Memory DRAM is pervasive in computer systems. Cell vulnerabilities caused by unintended phenomena forced retention failure, latency alteration, rowhammer and rowpress lead to unintended bit flips in memory. These phenomena have been explored as attacks to violate data...

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...

Ransomware and Artificial Intelligence: A Comprehensive Systematic Review of Reviews

This study provides a comprehensive synthesis of Artificial Intelligence AI, especially Machine Learning ML and Deep Learning DL, in ransomware defense. Using a "review of reviews" methodology based on PRISMA, this paper gathers insights on how AI is transforming ransomware detection, prevention,...

M365Pwned Red Team Tool

M365Pwned is two WinForms GUI tools for enumerating, searching, and exfiltrating data from Microsoft 365 environments using application-level OAuth tokens without any user interaction required...

Energy-Time Attack on Detectors in Quantum Key Distribution

Quantum key distribution is unbreakable in theory but may be hacked via imperfections in its hardware implementations. While many imperfections have been mitigated by countermeasures and advanced security proofs, several remain unsolved. One of these is a superlinear behaviour in single-photon...

Exploring the Drivers of Information Security Policy Compliance among Contingent Employees: A Social, Deterrent, and Involvement-Based Approach

As institutions increasingly depend on Information Systems ISs, ensuring compliance with Information Systems Security Policies ISSPs is critical, especially among contingent employees, whose engagement differs from that of permanent staff. This study examines how Subjective Norm, Deterrence...

AirPlay Dual‑Mode Discovery Scanner for Flipper Zero ESP32 WiFi Dev Board

This project implements a dual‑mode AirPlay discovery scanner using an ESP32 WiFi Dev Board attached to a Flipper Zero. The tool is designed strictly for network discovery and visibility, not exploitation...

CAM-LDS: Cyber Attack Manifestations for Automatic Interpretation of System Logs and Security Alerts

Log data are essential for intrusion detection and forensic investigations. However, manual log analysis is tedious due to high data volumes, heterogeneous event formats, and unstructured messages. Even though many automated methods for log analysis exist, they usually still rely on domain-specif...

Can LLMs Hack Enterprise Networks? -- Replicated Computational Results (RCR) Report

This is the Replicated Computational Results RCR Report for the paper "Can LLMs Hack Enterprise Networks?" The paper empirically investigates the efficacy and effectiveness of different LLMs for penetration-testing enterprise networks, i.e., Microsoft Active Directory Assumed-Breach Simulations...

Extending the Formalism and Theoretical Foundations of Cryptography to AI

Recent progress in Large Language Models LMs has enabled the development of autonomous LM-based agents capable of executing complex tasks with minimal supervision. These agents have started to be integrated into systems with significant autonomy and authority. The security community has been...

Formal Analysis and Supply Chain Security for Agentic AI Skills

The rapid proliferation of agentic AI skill ecosystems -- exemplified by OpenClaw 228,000 GitHub stars and Anthropic Agent Skills 75,600 stars -- has introduced a critical supply chain attack surface. The ClawHavoc campaign January-February 2026 infiltrated over 1,200 malicious skills into the...

ChaCha20‑Poly1305 AEAD Production Decryptor

This C implementation provides a secure ChaCha20‑Poly1305 decryption function fully compliant with RFC 8439...

Analysis of LLMs against Prompt Injection and Jailbreak Attacks

Large Language Models LLMs are widely deployed in real-world systems. Given their broader applicability, prompt engineering has become an efficient tool for resource-scarce organizations to adopt LLMs for their own purposes. At the same time, LLMs are vulnerable to prompt-based attacks. Thus,...

Following Dragons: Code Review-Guided Fuzzing

Modern fuzzers scale to large, real-world software but often fail to exercise the program states developers consider most fragile or security-critical. Such states are typically deep in the execution space, gated by preconditions, or overshadowed by lower-value paths that consume limited fuzzing...

DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-Hosted Monolithic Firmware Fuzzing

The rise of smart devices in critical domains--including automotive, medical, industrial--demands robust firmware testing. Fuzzing firmware in re-hosted environments is a promising method for automated testing at scale, but remains difficult due to the tight coupling of code with a...

AirCatch: Effectively Tracing Advanced Tag-Based Trackers

Tag-based tracking ecosystems help users locate lost items, but can be leveraged for unwanted tracking and stalking. Existing protocol-driven defenses and prior academic solutions largely assume stable identifiers or predictable beaconing. However, identifier-based defenses fundamentally break do...

Characterizing and Modeling the GitHub Security Advisories Review Pipeline

GitHub Security Advisories GHSA have become a central component of open-source vulnerability disclosure and are widely used by developers and security tools. A distinctive feature of GHSA is that only a fraction of advisories are reviewed by GitHub, while the mechanisms associated with this revie...

Bypassing AI Control Protocols Via Agent-As-A-Proxy Attacks

As AI agents automate critical workloads, they remain vulnerable to indirect prompt injection IPI attacks. Current defenses rely on monitoring protocols that jointly evaluate an agent's Chain-of-Thought CoT and tool-use actions to ensure alignment with user intent. We demonstrate that these...

AIDE 0.19.3

AIDE Advanced Intrusion Detection Environment is a free replacement for Tripwiretm. It generates a database that can be used to check the integrity of files on server. It uses regular expressions for determining which files get added to the database. You can use several message digest algorithms ...

macOS Mavericks 10.9 Local Privilege Escalation Tooling

This is not an exploit but rather a theoretical ROP chain construction framework for macOS Mavericks 10.9 that is inspired by older research...

PatchIsland: Orchestration of LLM Agents for Continuous Vulnerability Repair

Continuous fuzzing platforms such as OSS-Fuzz uncover large numbers of vulnerabilities, yet the subsequent repair process remains largely manual. Unfortunately, existing Automated Vulnerability Repair AVR techniques -- including recent LLM-based systems -- are not directly applicable to continuou...

Balancing Security and Privacy: The Pivotal Role of AI in Modern Healthcare Systems

As digital threats continue to grow, organizations must find ways to enhance security while protecting user privacy. This paper explores how artificial intelligence AI plays a crucial role in achieving this balance. AI technologies can improve security by detecting threats, monitoring systems, an...

Unpacking Security Scanners for GitHub Actions Workflows

GitHub Actions is a widely used platform that allows developers to automate the build and deployment of their projects through configurable workflows. As the platform's popularity continues to grow, it has become a target of choice for recent software supply chain attacks. These attacks exploit...

Apache bRPC Command Injection

The Apache bRPC heap profiler suffers from a command injection vulnerability. Versions below 1.15.0 are affected...

WMI Event Subscription Event Log Persistence

This Metasploit module will create a permanent WMI event subscription to achieve file-less persistence using an event filter that will query the event log for an EVENTIDTRIGGER default: failed logon request id 4625 that also contains a specified USERNAMETRIGGER note: failed logon auditing must be...

LLMs in Code Vulnerability Analysis: A Proof of Concept

Context: Traditional software security analysis methods struggle to keep pace with the scale and complexity of modern codebases, requiring intelligent automation to detect, assess, and remediate vulnerabilities more efficiently and accurately. Objective: This paper explores the incorporation of...

Memory DisOrder: Memory Re-Orderings As a Timerless Side-Channel

To improve efficiency, nearly all parallel processing units CPUs and GPUs implement relaxed memory models in which memory operations may be re-ordered, i.e., executed out-of-order. Prior testing work in this area found that memory re-orderings are observed more frequently when other cores are...

On-Chip Semi-Device-Independent Quantum Random Number Generator Exploiting Contextuality

We present a semi-device-independent quantum random number generator QRNG based on the violation of a contextuality inequality, implemented by the integration of two silicon photonic chips. Our system combines a heralded single-photon source with a reconfigurable interferometric mesh to implement...

Malware Detection Based on API Calls: A Reproducibility Study

This study independently reproduces the malware detection methodology presented by Felli cious et al. 7, which employs order-invariant API call frequency analysis using Random Forest classification. We utilized the original public dataset 250,533 training samples, 83,511 test samples and replicat...

Zeek 8.0.5

Zeek is a powerful network analysis framework that is much different from the typical IDS you may know. While focusing on network security monitoring, Zeek provides a comprehensive platform for more general network traffic analysis as well. Well grounded in more than 15 years of research, Zeek ha...

Memory Poisoning Attack and Defense on Memory Based LLM-Agents

Large language model agents equipped with persistent memory are vulnerable to memory poisoning attacks, where adversaries inject malicious instructions through query only interactions that corrupt the agents long term memory and influence future responses. Recent work demonstrated that the MINJA...

Knowledge-To-Data: LLM-Driven Synthesis of Structured Network Traffic for Testbed-Free IDS Evaluation

Realistic, large-scale, and well-labeled cybersecurity datasets are essential for training and evaluating Intrusion Detection Systems IDS. However, they remain difficult to obtain due to privacy constraints, data sensitivity, and the cost of building controlled collection environments such as...

Threat Detection in Social Media Networks Using Machine Learning Based Network Analysis

The accelerated development of social media websites has posed intricate security issues in cyberspace, where these sites have increasingly become victims of criminal activities including attempts to intrude into them, abnormal traffic patterns, and organized attacks. The conventional rule-based...