EXE-Bench: Ranking the Tradeoffs of AI-Based Windows Malware Detectors for Real-World Usability

Due to the lack of systematic evaluations, we are not yet able to determine which AI-based Windows malware detector to deploy in production, since existing evaluations i differ in terms of data used for both training and testing; ii do not consider temporal analysis to showcase whether models...

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...

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...

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...

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...

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...

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,...

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...

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...

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...

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...

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...

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...

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...

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,...

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...

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,...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

Amplitude Interception Issues

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

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...

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...

From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python

The original ALPHA benchmark introduced a taxonomy-aware penalty for evaluating CWE-level vulnerability prediction in Python and proposed that the penalty could theoretically also serve as a training signal. This paper provides that validation. We compare three delivery mechanisms: supervised...

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...

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...

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...

ToolGuardian: Declarative Security for AI Agent-Tool Interactions

LLM agents increasingly rely on external tools, expanding capability while creating a new security boundary: third-party tools may appear benign at the interface level while embedding unsafe behavior in implementation. Existing defenses rely on weak metadata, collapse characterization and policy...

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...

Toward Cryptographically Verifiable Authorization for Autonomous AI Agents: A Security Hypothesis, Preliminary Formal Model, and Proof-Of-Concept Implementation

Autonomous AI agents increasingly execute actions, invoke tools, and operate on protected resources with limited human oversight. Existing authentication and authorization mechanisms establish identity and delegate authority, but do not inherently provide cryptographic evidence that a concrete...

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...

What AI Red-Team Evaluations Can and Cannot Prove

Red-team evaluations of AI models support some claims and not others, and the boundary between the two is calculable rather than merely a matter of judgment. We define the evidential ceiling of an evaluation as the largest factor by which one result can move belief under a fixed testing budget,...

Directed Symbolic Execution for Vulnerability Discovery: An LLM-Guided Approach in KLEE

Symbolic execution effectively discovers security violations but suffers from path explosion. Engines like KLEE therefore use path prioritization heuristics to order state exploration, typically optimizing code coverage. However, path prioritization can become trapped in cyclic control-flow...

Synology Man-In-The-Middle

Synology stale DNS allows practical interception of traffic from vulnerable DSM clients, making older vulnerabilities more practical to exploit...

Safety and Security: Experimental Validation of Encrypted Model Predictive Control

In this paper, we revisit the problem of an encrypted model predictive control MPC design, representing a significant challenge in the recent field of secure process control. Existing methods in secure optimization-based control are non-existent and even partial implementation fails to address th...

ManageEngine AD360 Detection Tool

A proof of concept detection tool for ManageEngine AD360 products affected by CVE-2026-11374. The Python utility safely checks whether an ADSelfService Plus, RecoveryManager Plus, M365 Manager Plus, or ADAudit Plus deployment is AD360-integrated and therefore meets the exploit precondition for th...

A Covert Precision Satellite Communication Framework Assisted by Cooperative IRSs

Satellite communication SatCom, as an effective complement to terrestrial networks, has attracted considerable attention from both academia and industry owing to its wide coverage and high flexibility. However, the inherent openness of satellite links renders them highly vulnerable to...