Splunk Enterprise 8.2.9 / 9.0.2 Vulnerability Scanner

This is a scanner that checks if a Splunk Enterprise system is susceptible to CVE‑2022‑43571, an authenticated remote code execution vulnerability. The vulnerability exists due to insufficient input sanitization in SimpleXML dashboard style parameters such as lineColor or fillColor. When a...

Lifecycle-Integrated Security for AI-Cloud Convergence in Cyber-Physical Infrastructure

The convergence of Artificial Intelligence AI inference pipelines with cloud infrastructure creates a dual attack surface where cloud security standards and AI governance frameworks intersect without unified enforcement mechanisms. AI governance, cloud security, and industrial control system...

Strengthening Security and Noise Resistance in One-Way Quantum Key Distribution Protocols through Hypercube-Based Quantum Walks

Quantum Key Distribution QKD is a foundational cryptographic protocol that ensures information-theoretic security. However, classical protocols such as BB84, though favored for their simplicity, offer limited resistance to eavesdropping, and perform poorly under realistic noise conditions. Recent...

Blockchain-Enabled Routing for Zero-Trust Low-Altitude Intelligent Networks

Due to the scalability and portability, low-altitude intelligent networks LAINs are essential in various fields such as surveillance and disaster rescue. However, in LAINs, unmanned aerial vehicles UAVs are characterized by the distributed topology and high mobility, thus vulnerable to security...

A High-Throughput AES-GCM Implementation on GPUs for Secure, Policy-Based Access to Massive Astronomical Catalogs

The era of large astronomical surveys generates massive image catalogs requiring efficient and secure access, particularly during pre-publication periods where data confidentiality and integrity are paramount. While Findable, Accessible, Interoperable, and Reusable FAIR principles guide the...

Google Chrome 145.0.7632.75 Cross-Platform Version Scanner

This Python script is a defensive security utility designed to detect whether the installed version of Google Chrome is vulnerable to CVE-2026-2441, a high-severity use-after-free flaw affecting versions prior to 145.0.7632.75...

Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection under Resource Constraints

Distributed denial-of-service DDoS attacks threaten the availability of Internet of Things IoT infrastructures, particularly under resource-constrained deployment conditions. Although transfer learning models have shown promising detection accuracy, their reliability, computational feasibility, a...

Predicting Known Vulnerabilities from Attack Descriptions Using Sentence Transformers

Modern infrastructures rely on software systems that remain vulnerable to cyberattacks. These attacks frequently exploit vulnerabilities documented in repositories such as MITRE's Common Vulnerabilities and Exposures CVE. However, Cyber Threat Intelligence resources, including MITRE ATT&CK and CV...

MulCovFuzz: A Multi-Component Coverage-Guided Greybox Fuzzer for 5G Protocol Testing

As mobile networks transition to 5G infrastructure, ensuring robust security becomes more important due to the complex architecture and expanded attack surface. Traditional security testing approaches for 5G networks rely on black-box fuzzing techniques, which are limited by their inability to...

HDF5 Plugin 2.17.0 Path Audit

This script demonstrates a controlled security audit scenario targeting the HDF5 dynamic plugin loading mechanism. It compiles a shared C library that mimics a legitimate HDF5 filter plugin by implementing the required H5Zclass2t structure and registration functions H5PLgetplugintype,...

ChaCha20‑Poly1305 AEAD Production Decryptor

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

APFuzz: Towards Automatic Greybox Protocol Fuzzing

Greybox protocol fuzzing is a random testing approach for stateful protocol implementations, where the input is protocol messages generated from mutations of seeds, and the search in the input space is driven by the feedback on coverage of both code and state. State model and message model are th...

Implementation and Transition to Post-Quantum Cryptography of the Minimal IKE Protocol

This paper concerns the Minimal Internet Key Exchange IKE protocol, which has received little attention to date, despite its potential to make the best-known IKE protocol sufficiently lightweight to be also applied in contexts where it is currently prohibitive, due to its large footprint. First, ...

The Silent Spill: Measuring Sensitive Data Leaks across Public URL Repositories

A large number of URLs are made public by various platforms for security analysis, archiving, and paste sharing -- such as VirusTotal, URLScan.io, Hybrid Analysis, the Wayback Machine, and RedHunt. These services may unintentionally expose links containing sensitive information, as reported in so...

GNU Privacy Guard 2.5.18

GnuPG the GNU Privacy Guard or GPG is GNU's tool for secure communication and data storage. It can be used to encrypt data and to create digital signatures. It includes an advanced key management facility and is compliant with the proposed OpenPGP Internet standard as described in RFC2440. As suc...

Regular Expression Denial of Service Induced by Backreferences

This paper presents the first systematic study of denial-of-service vulnerabilities in Regular Expressions with Backreferences REwB. We introduce the Two-Phase Memory Automaton 2PMFA, an automaton model that precisely captures REwB semantics. Using this model, we derive necessary conditions under...

AdapTools: Adaptive Tool-Based Indirect Prompt Injection Attacks on Agentic LLMs

The integration of external data services e.g., Model Context Protocol, MCP has made large language model-based agents increasingly powerful for complex task execution. However, this advancement introduces critical security vulnerabilities, particularly indirect prompt injection IPI attacks...

A Systematic Review of Algorithmic Red Teaming Methodologies for Assurance and Security of AI Applications

Cybersecurity threats are becoming increasingly sophisticated, making traditional defense mechanisms and manual red teaming approaches insufficient for modern organizations. While red teaming has long been recognized as an effective method to identify vulnerabilities by simulating real-world...

ICSSPulse: A Modular LLM-Assisted Platform for Industrial Control System Penetration Testing

It is well established that industrial control systems comprise the operational backbone of modern critical infrastructures, yet their increasing connectivity exposes them to cyber threats that are difficult to study and remedy safely under real-time operational conditions. In this paper, we...

SPIP Ultimate Auditor – Comprehensive Security Assessment Script

SPIP Ultimate Auditor is a Python-based security assessment script designed to perform a multi-phase audit against a SPIP CMS installation. The tool automates reconnaissance and misconfiguration detection tasks to identify potential security weaknesses in a target deployment...

Self-Purification Mitigates Backdoors in Multimodal Diffusion Language Models

Multimodal Diffusion Language Models MDLMs have recently emerged as a competitive alternative to their autoregressive counterparts. Yet their vulnerability to backdoor attacks remains largely unexplored. In this work, we show that well-established data-poisoning pipelines can successfully implant...

MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection

Traditional phishing website detection relies on static heuristics or reference lists, which lag behind rapidly evolving attacks. While recent systems incorporate large language models LLMs, they are still prompt-based, deterministic pipelines that underutilize reasoning capability. We present...

A Lightweight Defense Mechanism against Next Generation of Phishing Emails Using Distilled Attention-Augmented BiLSTM

The current generation of large language models produces sophisticated social-engineering content that bypasses standard text screening systems in business communication platforms. Our proposed solution for mail gateway and endpoint deception detection operates in a privacy-protective manner whil...

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...

Linux Kernel 7.x Safe Verification of XFS Scrub ioctl Support

This tool provides a safe and non-exploitative way to verify whether a mount point uses the XFS file system and whether the system kernel supports the ioctl interface for XFS metadata cleanup XFSIOCSCRUBMETADATA. The tool performs verification of the file system type to confirm it is XFS, safely...

FreeBSD Security Advisory - FreeBSD-SA-26:04.jail

FreeBSD Security Advisory - If two sibling jails are restricted to separate filesystem trees, which is to say that neither of the two jail root directories is an ancestor of the other, jailed processes may nonetheless be able to access a shared directory via a nullfs mount, if the administrator h...

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,...

Understanding Human-AI Collaboration in Cybersecurity Competitions

Capture-the-Flag CTF competitions are increasingly becoming a testbed for evaluating AI capabilities at solving security tasks, due to the controlled environments and objective success criteria. Existing evaluations have focused on how successful AI is at solving CTF challenges in isolation from...

Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks

LLM agents are evolving rapidly, powered by code execution, tools, and the recently introduced agent skills feature. Skills allow users to extend LLM applications with specialized third-party code, knowledge, and instructions. Although this can extend agent capabilities to new domains, it creates...

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...

OpenClaw, Moltbook, and ClawdLab: From Agent-Only Social Networks to Autonomous Scientific Research

In January 2026, the open-source agent framework OpenClaw and the agent-only social network Moltbook produced a large-scale dataset of autonomous AI-to-AI interaction, attracting six academic publications within fourteen days. This study conducts a multivocal literature review of that ecosystem a...

OWASP Smart Contract Top 10

The OWASP Smart Contract Top 10: 2026 is a standard awareness document that aims to provide Web3 developers and security teams with insights into the top 10 vulnerabilities found in smart contracts. It is a sub‑project of the broader OWASP Smart Contract Security OWASP SCS initiative. It serves a...

SafePickle: Robust and Generic ML Detection of Malicious Pickle-Based ML Models

Model repositories such as Hugging Face increasingly distribute machine learning artifacts serialized with Python's pickle format, exposing users to remote code execution RCE risks during model loading. Recent defenses, such as PickleBall, rely on per-library policy synthesis that requires comple...

Agents of Chaos

We report an exploratory red-teaming study of autonomous language-model-powered agents deployed in a live laboratory environment with persistent memory, email accounts, Discord access, file systems, and shell execution. Over a two-week period, twenty AI researchers interacted with the agents unde...

An Explainable Memory Forensics Approach for Malware Analysis

Memory forensics is an effective methodology for analyzing living-off-the-land malware, including threats that employ evasion, obfuscation, anti-analysis, and steganographic techniques. By capturing volatile system state, memory analysis enables the recovery of transient artifacts such as decrypt...

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...

CIBER: A Comprehensive Benchmark for Security Evaluation of Code Interpreter Agents

LLM-based code interpreter agents are increasingly deployed in critical workflows, yet their robustness against risks introduced by their code execution capabilities remains underexplored. Existing benchmarks are limited to static datasets or simulated environments, failing to capture the securit...

Evolution Cyber Intelligence

This is a book written by indoushka that covers the evolution of cyber intelligence from historical methodologies to modern day attacks. Written in Arabic...

Agentic AI As a Cybersecurity Attack Surface: Threats, Exploits, and Defenses in Runtime Supply Chains

Agentic systems built on large language models LLMs extend beyond text generation to autonomously retrieve information and invoke tools. This runtime execution model shifts the attack surface from build-time artifacts to inference-time dependencies, exposing agents to manipulation through untrust...

LLM-Enabled Applications Require System-Level Threat Monitoring

LLM-enabled applications are rapidly reshaping the software ecosystem by using large language models as core reasoning components for complex task execution. This paradigm shift, however, introduces fundamentally new reliability challenges and significantly expands the security attack surface, du...

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...

Can You Tell It'S AI? Human Perception of Synthetic Voices in Vishing Scenarios

Large Language Models and commercial speech synthesis systems now enable highly realistic AI-generated voice scams vishing, raising urgent concerns about deception at scale. Yet it remains unclear whether individuals can reliably distinguish AI-generated speech from human-recorded voices in...

Mass FortiGate Symlink Bypass Scanner

FortiGate mass symlink bypass scanner that adds structured validation, impact assessment, and reporting logic. It first verifies whether the target actually appears to be a FortiGate device from Fortinet using fingerprinting heuristics, which reduces false positives. Instead of testing a single...

RobPI: Robust Private Inference against Malicious Client

The increased deployment of machine learning inference in various applications has sparked privacy concerns. In response, private inference PI protocols have been created to allow parties to perform inference without revealing their sensitive data. Despite recent advances in the efficiency of PI,...

SmarterMail 100.0.9413 Vulnerability Scanner

This PHP class implements a non-intrusive vulnerability scanner designed to assess the exposure of a SmarterMail instance to a file upload–related security flaw without executing any commands or payloads. The scanner follows a safe, read-only validation approach that focuses on detecting improper...

On the Variability of Source Code in Maven Package Rebuilds

Rebuilding packages from open source is a common practice to improve the security of software supply chains, and is now done at an industrial scale. The basic principle is to acquire the source code used to build a package published in a repository such as Maven Central for Java, rebuild the...

Red-Teaming Claude Opus and ChatGPT-Based Security Advisors for Trusted Execution Environments

Trusted Execution Environments TEEs e.g., Intel SGX and ArmTrustZone aim to protect sensitive computation from a compromised operating system, yet real deployments remain vulnerable to microarchitectural leakage, side-channel attacks, and fault injection. In parallel, security teams increasingly...

FuzzySQL: Uncovering Hidden Vulnerabilities in DBMS Special Features with LLM-Driven Fuzzing

Traditional database fuzzing techniques primarily focus on syntactic correctness and general SQL structures, leaving critical yet obscure DBMS features, such as system-level modes e.g., GTID, programmatic constructs e.g., PROCEDURE, advanced process commands e.g., KILL, largely underexplored...

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,...

Detecting Cybersecurity Threats by Integrating Explainable AI with SHAP Interpretability and Strategic Data Sampling

The critical need for transparent and trustworthy machine learning in cybersecurity operations drives the development of this integrated Explainable AI XAI framework. Our methodology addresses three fundamental challenges in deploying AI for threat detection: handling massive datasets through...