On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems

The recently deployed Entry/Exit System EES introduces large-scale biometric verification into European border control, requiring face recognition systems to operate at extremely low false match rates FMR. While regulatory frameworks define performance targets at the EES Central System level, the...

A Cybersecurity MLPS Large Language Model with Multi-Path Retrieval Fusion

The Multi-Level Protection Scheme MLPS is a foundational system in China's cybersecurity governance framework. Therefore, accurate analysis and understanding of MLPS requirements are essential. At present, MLPS analysis still relies mainly on manual interpretation of standards and rule-based tool...

TYPO: Instruction-Dense Visual Jailbreaks against Commercial Closed-Source Image-Generation Models

Recent commercial image-generation models can generate high-quality images with readable text e.g., posters, infographics, and manuals, attracting considerable attention. Yet we first show that this same capability also introduces a previously unreported safety vulnerability: these systems may...

When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-Offs

Jailbreak defenses are essential for protecting large language models LLMs, but they can also introduce secondary costs that weaken model utility. We present a systematic study of these defense trade-offs along three dimensions: performance impact, over-refusal on benign inputs, and inference cos...

Beyond GDPR: Examining Disclosure Gaps in Mobile AR Privacy Policies under U.S. State Privacy Laws

Mobile Augmented Reality MAR apps can collect and process highly sensitive data such as spatial maps and biometrics, yet their privacy policies remain largely understudied. Prior audits of app privacy policies have typically focused on a single legal framework, such as the GDPR. Meanwhile, 20 U.S...

Wapiti Web Application Vulnerability Scanner 3.3.1

Wapiti is a web application vulnerability scanner. It will scan the web pages of a deployed web application and will fuzz the URL parameters and forms to find common web vulnerabilities. This is the source code release...

Experimental Side Channel Analysis of Protocol Stages in Quantum Identity Authentication

Quantum networks can enable distributed computing and sensing. To realize these capabilities securely, quantum identity authentication is essential. Without authentication at the quantum layer, malicious repeaters may retain entanglement instead of performing swapping, enabling man-in-the-middle...

ZIMPAF and RedPhuzz: High-Fidelity Web Application Fuzzing Via Branch, Language Construct, and Function Call Monitoring

We present ZIMPAF, runtime interpreter instrumentation, and RedPhuzz, a fuzzer, to address key limitations of state-of-the-art fuzzers: inefficient instrumentation, the lack of knowledge of the execution environment, and limited web domain knowledge. ZIMPAF implements a novel multi-granular runti...

Experimental Protocol Fingerprinting in Quantum Networks Via Physical Layer Side Channel Analysis

Quantum communication is a key enabler of next-generation networks, leveraging quantum entanglement to enable a new class of information exchange. While prior work has focused on the theoretical analysis of communication protocols, their exposure to physical layer side channel analysis remains...

Joern 4.0.589

Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...

RedAmon 6.2.2

An autonomous AI framework that chains reconnaissance, exploitation, and post-exploitation into a single pipeline, then goes further by triaging every finding, implementing code fixes, and opening pull requests on your repository. From first packet to merged patch, with human oversight at every...

Early Detection of Distributed Backdoors in Multi-Agent LLM Systems: A Characterization Study

Multi-agent LLM systems can be attacked by a payload that no single agent ever holds in full: a poisoned tool hides encrypted fragments in its observations, spreads them across several agents, and an external step reassembles and executes them after the run. Per-step safety checks that judge each...

WordPress BookingPress Appointment Booking Pro 5.7.2 Authentication Bypass

WordPress BookingPress Appointment Booking Pro plugin version 5.7.2 contains an authentication bypass vulnerability in its REST API that may allow an unauthenticated attacker to bypass authentication and gain unauthorized access. The repository contains technical analysis, threat intelligence...

Modeling Local Exploit Hazard - a Bayesian Framework for Quantifying Exploit Risk and Operational Efficiency

This paper presents a local exploit hazard model : a Bayesian framework that converts the global probabilities produced by an exploit likelihood model ELM, such as the Exploit Prediction Scoring System EPSS, into a daily exploit hazard rate for an organization's own assets. The model measures the...

Xalgorix Autonomous AI Pentesting Agent 4.5.87

Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported - so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript...

ADVERSARIAL: And-Inverter Graph-Assisted Hardware Trojan Detection at Scale

Modern System-on-Chip SoCs often contain hundreds of millions to tens of billions of gates, making existing Hardware Trojan HT detection methods impractical due to their immense scale. The proposed approach incorporates symbolically enabled learning by modeling flattened gate-level netlists as...

The Illusion of Secure LLM Code: Closing the Security Gap Via Iterative Reprompting

Large Language Models LLMs are increasingly integrated into software development workflows, yet their ability to autonomously generate secure authentication code remains uncertain. This paper evaluates the security architecture of authentication systems generated by five prominent AI coding...

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents

Smart-city airspace is transforming Uncrewed Aerial Vehicles UAVs from passive sensing platforms into cyber-physical decision makers that must follow operational rules under degraded observations and ambiguous language. Existing UAV and multimodal benchmarks evaluate perception, navigation,...

Early Detection of Hardware Trojans Using Neural Controlled Differential Equations and Analysis of Power Traces

Evolving Hardware Trojans pose a serious threat to modern digital systems by evading traditional detection through stealthy, adaptive behavior. Even recent methods that leverage advances in machine learning can only detect them after activation, leaving a critical window for potential security...

From Signals to Behaviors: Evidence-Based Android Malware Detection

Android malware remains a persistent threat, and detecting it accurately is a long-standing open problem. Whether an app is malicious depends on what it actually does and the context in which it does it, not on the surface signals it happens to exhibit. Existing detectors instead reason about...

TroPUF: Evaluating Hardware Trojan Insertion in Delay-Based Physical Unclonable Functions

Delay-based Physical Unclonable Functions PUFs are commonly used for device authentication and key generation due to the fact that they rely on manufacturing induced delay variations. However, these same variations make PUFs inherently non-deterministic, which can allow malicious logic to blend i...

PATCH-FFT: Unmasking Dormant Hardware Trojans with Patch-Based Frequency-Domain Transformers

Hardware Trojans embedded by malicious entities in integrated circuits can covertly leak sensitive information through power side channels, often remaining undetected in their dormant state until specific trigger conditions activate their malicious behavior. For information-leaking Trojans,...

SPARC: Automated Root-Cause Analysis of Pre-Silicon Power Side-Channel Leakage in the Processor Design Flow

Power-Side-Channel Leakage PSCL originates from architectural and micro-architectural artifacts in a processor and poses a severe threat to the confidentiality of cryptographic software. Consequently, pre-silicon PSCL evaluation is indispensable for secure hardware design. Existing frameworks are...

On AI Safety and Security Technical Debt in Engineering AI-Enabled Systems

Artificial intelligence AI systems are increasingly deployed in high-stakes domains such as healthcare, autonomous driving, finance, and education. While these systems offer powerful data-driven and adaptive capabilities, their complexity, rapid evolution, and dependence on dynamic data pipelines...

False Prophets: On the Security of World Models in Agentic Systems

Large language models now power autonomous agents capable of complex, multi-step tasks in different environments. Accurate and reliable execution of these tasks requires the agent to predict the results of its actions. Recent research proposes to enhance predictive capabilities via specially...

Traceable LLM Reasoning for Fake-Order Fraud Detection

Detecting fake-order fraud at scale remains a critical challenge for large online-to-offline O2O service platforms, as existing approaches often rely on expert-designed features, produce black-box decisions, and provide limited interpretability. To address these limitations, we propose DeepScrub,...

Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents

LLM-based agents extend large language models with long-term memory LTM that persists privacy-sensitive user data across sessions. Production systems mitigate extraction risks through memory isolation, binding each user's LTM to a unique identifier. This defense has blocked known attacks on share...

Rendering on Real Silicon: GPU Render-Timing As a Passive, AI-Resistant CAPTCHA Signal

Conventional CAPTCHAs pose puzzles that modern AI systems increasingly solve, while behavioral and cryptographic-attestation defenses carry privacy or enrollment costs. We investigate an orthogonal signal: the physical timing behavior of a client's GPU under a controlled WebGL rendering workload...

Poster: Rethinking Security in LLM Code Generation through Real-World Risk Scenarios

Large Language Models LLMs are widely used for code generation, yet their security behavior in realistic development workflows remains underexplored. Existing benchmarks often rely on explicitly specified security requirements, failing to capture real-world scenarios where prompts are frequently...

A Structured Cyber Threat Intelligence Dataset Using STIX 2.1 Entities and MITRE ATT&CK Mappings

Cyber threat intelligence CTI reports are typically written in unstructured formats, which complicates the extraction and analysis of important entities and adversarial behaviors. Although existing CTI research provides extraction tools, knowledge-graph frameworks, and MITRE ATT&CK mapped dataset...

Joern 4.0.583

Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...

Ethereum NFT Smart Contracts: Knowledge-Guided Vulnerability Detection with LLM and Code Slicing

Ethereum non-fungible tokens NFTs implement ownership, transfer, authorization, and metadata operations through smart contracts, making contract vulnerabilities a direct risk to digital assets. Existing static analyzers provide efficient rule-based screening but can struggle with...

Transforming Keystroke Noise to Text: Self-Supervised Acoustic Eavesdropping Attacks on Keyboards

We present a self-supervised acoustic eavesdropping attack that reconstructs typed text solely from keystroke sounds, without requiring labeled data for the target device. The proposed attack enables stealthy eavesdropping in two real-world scenarios-physical spaces public and semi-public and...

tcpreplay 4.5.5

tcpreplay is a BSD-style licensed tool to replay saved tcpdump files at arbitrary speeds. It provides a variety of features for replaying traffic for both passive sniffer devices as well as inline devices such as routers, firewalls, and intrusion detection systems. Many NIDSs fare poorly when...

Faraday 5.23.0

Faraday is a tool that introduces a new concept called IPE, or Integrated Penetration-Test Environment. It is a multiuser penetration test IDE designed for distribution, indexation and analysis of the generated data during the process of a security audit. The main purpose of Faraday is to re-use...

ReCon: A Resource-Constrained Benchmark for LLM-Based Cybersecurity Compliance across Ingestion and Retrieval Pipelines

With the increasingly aggressive cyber threat landscape for governments, businesses, and institutions, as information and/or cybersecurity implementations are increasingly under scrutiny by regulators, it has been pointed out that governance failure is one of the major reasons for a weakened...

Practical Graph Optimisation and AI-Driven Models for Active Directory Security Hardening

Microsoft's Active Directory AD is a directory service that enables the IT admin to manage security permissions and control access within a Windows domain network. As a core management system in many of organisation, AD has become a primary target for adversaries. While many solutions for hardeni...

PoCEvolve: Generating Proof-Of-Concept Exploits from Security Patches with Vulnerability-Aware Prompt Evolution

Ideally, the detailed information about a vulnerability should be made available together with the fixing commit. In practice, however, such details often become available only long after the commit, even when a CVE has already been published. During this window, the patch is already public, so...

LWIS Kernel Driver Out-Of-Bounds Write

The lwis driver provides an interface for writing data to dma-buf objects via the LWISIOENTRYWRITETOBUFFER command. In lwisiobufferwrite, the driver performs a memcpy from a kernel-allocated copy of user data into the kernel mapping of a dma-buf. The driver uses the offset and sizeinbytes fields...

Xalgorix Autonomous AI Pentesting Agent 4.5.72

Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported - so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript...

CVE-2026-43499: A Critical Analysis of the "Zero-Self" Fallacy

This document presents a comprehensive technical analysis refuting the claim that CVE-2026-43499 GhostLock constitutes "no real vulnerability" due to its requirement for local access and user interaction. Through rigorous examination of the attack surface, exploitation vectors, and real-world...

QuantumChain: Blockchain-Backed Quantum Federated Learning for Financial Fraud Detection

Financial fraud detection is challenged by decentralized data, severe class imbalance, and privacy constraints. This paper presents QuantumChain, a secure Quantum Federated Learning QFL framework that combines hybrid quantum-classical neural networks, encrypted federated aggregation,...

nginx 1.29.2 Configuration Scanner

A proof of concept scanner for nginx version 1.29.2 configuration patterns associated with CVE-2026-42533. Rather than exploiting the vulnerability, the Go-based tool recursively analyzes nginx configuration files for risky combinations of regular expression captures and map variables that may...

Amplitude Interception Issues

Amplitude appears to suffer from multiple interception issues including missing upstream TLS certification validation...

No Snake Oil: Verifying Python Package Builds

Python has become the default language for interacting with AI, with packages being distributed through registries like the Python Package Index PyPI. This creates a need to analyse supply chains comprising such packages. One such analysis is to rebuild packages in order to identify compromised...

Iranian-Affiliated Cyber Actors Exploit Programmable Logic Controllers across US Critical Infrastructure

The authoring agencies urgently warn U.S. organizations of ongoing Iranian-affiliated cyber targeting of internet-connected operational technology OT devices, including programmable logic controllers PLCs. These actions disrupted PLCs across several U.S. critical infrastructure sectors through...

I2P 2.13.0

I2P is an anonymizing network, offering a simple layer that identity-sensitive applications can use to securely communicate. All data is wrapped with several layers of encryption, and the network is both distributed and dynamic, with no trusted parties. This is the source code release version...

Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks

Large language model LLM agents routinely cheat on cybersecurity benchmarks, inflating reported pass rates far beyond genuine capability. Prior audits of Cybench found cheating in 0.3-3.4% of traces, implicating only a handful of models. We present a controlled prompt-ablation study across 22...

A Method of Risk Analysis and Threat Management Using Analytic Hierarchy Process

Efficient risk analysis and threat management are essential requirements of modern air defense AD systems. The paper is halfway between the analytic hierarchy process AHP and practical reasoning to model and analyze the risks and threats associated with military AD applications. The models are...

tcpreplay 4.5.4

tcpreplay is a BSD-style licensed tool to replay saved tcpdump files at arbitrary speeds. It provides a variety of features for replaying traffic for both passive sniffer devices as well as inline devices such as routers, firewalls, and intrusion detection systems. Many NIDSs fare poorly when...