Machine Learning Techniques for Enhancing Quantum Key Distribution

Quantum Key Distribution QKD offers theoretically unbreakable security by leveraging quantum mechanics. However, practical implementation is challenged by environmental vulnerabilities, noise, and hardware imperfections. Recently, Machine Learning ML has emerged as a powerful tool to address thes...

Statistical Analysis and Optimization of the MFA Protecting Private Keys

In the current information age, asymmetrical cryptography is widely used to protect information and financial transactions such as cryptocurrencies. The loss of private keys can have catastrophic consequences; therefore, effective MFA schemes are needed. In this paper, we focus on generating...

Two Frames Matter: A Temporal Attack for Text-To-Video Model Jailbreaking

Recent text-to-video T2V models can synthesize complex videos from lightweight natural language prompts, raising urgent concerns about safety alignment in the event of misuse in the real world. Prior jailbreak attacks typically rewrite unsafe prompts into paraphrases that evade content filters...

SemFuzz: A Semantics-Aware Fuzzing Framework for Network Protocol Implementations

Network protocols are the foundation of modern communication, yet their implementations often contain semantic vulnerabilities stemming from inadequate understanding of specification semantics. Existing gray-box and black-box testing approaches lack semantic modeling of protocols, making it...

Targeted Bit-Flip Attacks on LLM-Based Agents

Targeted bit-flip attacks BFAs exploit hardware faults to manipulate model parameters, posing a significant security threat. While prior work targets single-step inference models e.g., image classifiers, LLM-based agents with multi-stage pipelines and external tools present new attack surfaces,...

Securing Cryptography in the Age of Quantum Computing and AI: Threats, Implementations, and Strategic Response

This review examines how quantum computing and artificial intelligence challenge current cryptographic systems. We analyze the literature to assess the resilience of algorithms against quantum attacks Shor's and Grover's algorithms and AI-enhanced cryptanalysis. RSA and elliptic curve cryptograph...

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...

Alkaid: Resilience to Edit Errors in Provably Secure Steganography Via Distance-Constrained Encoding

While provably secure steganography provides strong concealment by ensuring stego carriers are indistinguishable from natural samples, such systems remain vulnerable to real-world edit errors e.g., insertions, deletions, substitutions because their decoding depends on perfect synchronization and...

Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers

Artifact Evaluation AE is essential for ensuring the transparency and reliability of research, closing the gap between exploratory work and real-world deployment is particularly important in cybersecurity, particularly in IoT and CPSs, where large-scale, heterogeneous, and privacy-sensitive data...

Secure In-Memory Execution with W^X Enforcement Using mprotect

This C program demonstrates how to dynamically control memory allocation with the W^X protection principle...

Radio-Frequency Side-Channel Analysis of a Trapped-Ion Quantum Computer

Analogously to classical computers, quantum processors exhibit side channels that may give attackers access to potentially proprietary algorithms. We identify and exploit a previously unexplored side channel in trapped-ion quantum processors that arises from the radio-frequency RF signals used to...

PQC-LEO: An Evaluation Framework for Post-Quantum Cryptographic Algorithms

Advances in quantum computing threaten digital communication security by undermining the foundations of current public-key cryptography through Shor's quantum algorithm. This has driven the development of Post-Quantum Cryptography PQC, a new set of algorithms resistant to quantum attacks. While...

Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents

Autonomous offensive agents often fail to transfer beyond the networks on which they are trained. We isolate a minimal but fundamental shift -- unseen host/subnet IP reassignment in an otherwise fixed enterprise scenario -- and evaluate attacker generalization in the NetSecGame environment. Agent...

A LINDDUN-Based Privacy Threat Modeling Framework for GenAI

As generative AI GenAI systems become increasingly prevalent across various technological stacks, the question of how such systems handle sensitive and personal data flows becomes increasingly important. Specifically, both the ability to harness and process large swaths of information as well as...

Improved Leakage Abuse Attacks in Searchable Symmetric Encryption with EBPF Monitoring

Searchable Symmetric Encryption SSE allows users to search over encrypted data stored on untrusted servers, like cloud providers. While SSE hides the content of queries and documents, it still leaks patterns, such as how often a query is made. These leakages have been shown to enable leakage abus...

Before You Hand over the Wheel: Evaluating LLMs for Security Incident Analysis

Security incident analysis SIA poses a major challenge for security operations centers, which must manage overwhelming alert volumes, large and diverse data sources, complex toolchains, and limited analyst expertise. These difficulties intensify because incidents evolve dynamically and require...

ESAA-Security: An Event-Sourced, Verifiable Architecture for Agent-Assisted Security Audits of AI-Generated Code

AI-assisted software generation has increased development speed, but it has also amplified a persistent engineering problem: systems that are functionally correct may still be structurally insecure. In practice, prompt-based security review with large language models often suffers from uneven...

YARA-X 1.14.0

YARA-X is a re-incarnation of YARA, a pattern matching tool designed with malware researchers in mind. This new incarnation intends to be faster, safer and more user-friendly than its predecessor. The ultimate goal of YARA-X is replacing YARA as the default pattern matching tool for malware...

Deep Learning-Driven Friendly Jamming for Secure Multicarrier ISAC under Channel Uncertainty

Integrated sensing and communication ISAC systems promise efficient spectrum utilization by jointly supporting radar sensing and wireless communication. This paper presents a deep learning-driven framework for enhancing physical-layer security in multicarrier ISAC systems under imperfect channel...

Flipper Zero AirPlay mDNS Discovery Scanner

This project provides a safe and non-intrusive discovery tool for identifying AirPlay-enabled devices on a local network using Flipper Zero with the WiFi Dev Board ESP32. The scanner passively listens for mDNS Multicast DNS broadcast traffic on UDP port 5353...

SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection

Large language models LLMs have shown remarkable capabilities in natural language processing tasks, yet their application in hardware security verification remains limited due to scarcity of publicly available hardware description language HDL datasets. This knowledge gap constrains LLM performan...

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...

Cyber Threat Intelligence for Artificial Intelligence Systems

As artificial intelligence AI becomes deeply embedded in critical services and everyday products, it is increasingly exposed to security threats which traditional cyber defenses were not designed to handle. In this paper, we investigate how cyber threat intelligence CTI may evolve to address...

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...

Adobe SDK 1.7.1 2410 Robust DNG File Generator / Stress Tester

This Python script generates a structurally valid DNG Digital Negative file containing an embedded JPEG XL JXL codestream...

EVMbench: Evaluating AI Agents on Smart Contract Security

Smart contracts on public blockchains now manage large amounts of value, and vulnerabilities in these systems can lead to substantial losses. As AI agents become more capable at reading, writing, and running code, it is natural to ask how well they can already navigate this landscape, both in way...

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,...

Clam AntiVirus Toolkit 1.5.2

Clam AntiVirus is an anti-virus toolkit for Unix. The main purpose of this software is the integration with mail servers attachment scanning. The package provides a flexible and scalable multi-threaded daemon, a command-line scanner, and a tool for automatic updating via Internet. The programs ar...

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...

Nuclei 3.7.1

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...

AirPlay RTSP Device Discovery Scanner

The AirPlay RTSP Device Discovery Scanner is a Metasploit auxiliary module designed to safely identify Apple AirPlay-compatible devices by sending a legitimate RTSP OPTIONS request to the default AirPlay service port 7000/TCP. The module performs non-intrusive service fingerprinting only and does...

AirPlay RTSP Auditor

This Metasploit module is a hardened RTSP security auditing tool targeting Apple AirPlay services port 7000. It performs a structured authentication handshake using X25519 key exchange, derives shared secrets, and sends a dynamically constructed Apple Binary Property List bplist payload over RTSP...

Impact of 5G SA Logical Vulnerabilities on UAV Communications: Threat Models and Testbed Evaluation

This paper examines how logical vulnerabilities in 5G Standalone networks affect UAV command and control communication. The study looks at three attacker positions in the architecture: a malicious user equipment UE connected to the same logical network as the UAV, an attacker with access to the 5...

ShieldBypass: On the Persistence of Impedance Leakage beyond EM Shielding

Electromagnetic EM shielding is widely used to suppress radiated emissions and limit passive EM side-channel leakage. However, shielding does not address active probing, where an adversary injects external radio-frequency RF signals and observes the device's reflective response. This work studies...

WordPress ACF 0.9.1.1 Vulnerability Scanner

WordPress ACF plugin version 0.9.1.1 non‑intrusive vulnerability scanner that performs version checks...

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...

From Threat Intelligence to Firewall Rules: Semantic Relations in Hybrid AI Agent and Expert System Architectures

Web security demands rapid response capabilities to evolving cyber threats. Agentic Artificial Intelligence AI promises automation, but the need for trustworthy security responses is of the utmost importance. This work investigates the role of semantic relations in extracting information for...

Breaking Bad Email Habits: Bounding the Impact of Simulated Phishing Campaigns

Simulated phishing campaigns are widely deployed, yet the behavioral data they produce is endogenous: because training is triggered by clicking, the employees receiving intervention have already demonstrated susceptibility. This endogeneity, combined with the difficulty of separating genuine habi...

Kraken: Higher-Order EM Side-Channel Attacks on DNNs in near and Far Field

The multi-million dollar investment required for modern machine learning ML has made large ML models a prime target for theft. In response, the field of model stealing has emerged. Attacks based on physical side-channel information have shown that DNN model extraction is feasible, even on CUDA...

DKD-KAN: A Lightweight Knowledge-Distilled KAN Intrusion Detection Framework, Based on MLP and KAN

Cyber-security systems often operate in resource-constrained environments, such as edge environments and real-time monitoring systems, where model size and inference time are crucial. A light-weight intrusion detection framework is proposed that utilizes the Kolmogorov-Arnold Network KAN to captu...

Regenerator 2000

Regenerator 2000 is an interactive disassembler for the CPU 6502, focused mostly on Commodore 8-bit computers. Features a TUI with modern features like x-ref, undo/redo, arrows, keyboard-driven, mcp server, VICE debugger and more! This is the coolest thing we have added to the archive today...

Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing

Mobile devices are frequent targets of eCrime threat actors through SMS spearphishing smishing links that leverage Domain Generation Algorithms DGA to rotate hostile infrastructure. Despite this, DGA research and evaluation largely emphasize malware C2 and email phishing datasets, leaving limited...

Recovery-Induced Erasure Attack on QKD Systems

Detector dead time is typically treated as a fixed parameter in quantum key distribution QKD security analyses. In practice, however, the effective recovery time of single-photon avalanche photodiodes SPADs depends on the incident count rate. In this work, we demonstrate that this...

Blockchain Communication Vulnerabilities

Blockchains are diverse in the way they handle communications between their nodes to disseminate information, mitigate attacks, and agree on the next block. While security vulnerabilities have been identified, they rely on an attack custom-made for a specific blockchain communication protocol. To...

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...

STARDIS: Strategic Scheduling and Deceptive Signaling for Satellite Intrusion Detection System Deployment

Satellite communication networks operate under stringent computational constraints and are susceptible to sophisticated cyberattacks. This paper introduces a novel defense framework that decouples security optimization into ground-based analysis and onboard real-time execution. In the long-term...

Multi-Agent Honeypot-Based Request-Response Context Dataset for Improved SQL Injection Detection Performance

SQL injection remains a major threat to web applications, as existing defenses often fail against obfuscation and evolving attacks because of neglecting the request-response context. This paper presents a context-enriched SQL injection detection framework, focusing on constructing a high-quality...

Google Chrome 145.0.7632.117 WebGPU Tint Security Test

This is a proof of concept designed to test how the WebGPU Tint compiler handles an out-of-bounds memory access attempt in WGSL. The shader intentionally uses an invalid array index to simulate an out-of-bounds write operation. The purpose is to observe whether WebGPU validation, sandboxing, and...

Scores Know Bobs Voice: Speaker Impersonation Attack

Advances in deep learning have enabled the widespread deployment of speaker recognition systems SRSs, yet they remain vulnerable to score-based impersonation attacks. Existing attacks that operate directly on raw waveforms require a large number of queries due to the difficulty of optimizing in...

Tinc Virtual Private Network Daemon 1.0.37

tinc is a Virtual Private Network VPN daemon that uses tunneling and encryption to create a secure private network between multiple hosts on the Internet. This tunneling allows VPN sites to share information with each other over the Internet without exposing any information...