Trust in Edge-Enabled IoT Security: Features, Challenges and Research Directions

Providing autonomous intelligence, pervasive connectivity and usability to human life and industry has led to the emergence of the Internet of Things IoT. To support time-sensitive and resource-constrained applications, IoT systems nowadays increasingly rely on edge computing. This brings...

Reasoning Topology Matters: A Controlled Study of LLM-Based Cybersecurity Analysis

Large Language Models LLMs are increasingly used in cybersecurity, where accurate analysis often requires multi-step and context-dependent reasoning over complex and heterogeneous data. However, existing prompting approaches typically focus on eliciting reasoning without explicitly considering ho...

Embedded Assessments for Frontier AI

Third-party evaluations for frontier AI have mostly tested models through external interfaces before deployment. But the risks from frontier AI models depend on how their developers use and govern them internally. Recently, CEOs of frontier AI companies have committed to hosting embedded...

Domain Specific Post Quantum Signatures for Blockchains

Blockchains need more than post quantum single signer signatures. They need consensus profiled authentication objects with canonical bytes, priced invalid input rejection, stable transaction identifiers, hybrid downgrade resistance, public aggregation, merge semantics, accountable signer evidence...

TRACTOR Benchmark for Evaluating C to Rust Translators

Memory-safety vulnerabilities remain a persistent source of security risk in critical software, much of which is implemented in memory-unsafe languages such as C and C++. Recent advances in programming languages, program analysis, and artificial intelligence have created new opportunities to...

Unbound 1.26.0 DNSKEY Digest Heap Overflow

Unbound version 1.26.0 and earlier contains a heap buffer overflow in DNSKEY digest processing. The supplied tracker documents affected versions, upstream 1.26.1 remediation, and distribution patch status...

javadelight delight-nashorn-sandbox 0.5.5 Resource Consumption

javadelight delight-nashorn-sandbox version 0.5.5 contains an uncontrolled resource consumption vulnerability because dynamic JavaScript code evaluation can bypass statically inserted loop interruption checks and consume CPU...

CodeQL 1.27.0

Discover vulnerabilities across a codebase with CodeQL, an industry-leading semantic code analysis engine. CodeQL lets you query code as though it were data. Write a query to find all variants of a vulnerability, eradicating it forever. Then share your query to help others do the same...

Joern 4.0.631

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...

Packet Fence 15.2.0

PacketFence is a network access control NAC system. It is actively maintained and has been deployed in numerous large-scale institutions. It can be used to effectively secure networks, from small to very large heterogeneous networks. PacketFence provides NAC-oriented features such as registration...

Xalgorix Autonomous AI Pentesting Agent 4.6.83

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...

Specter NFC Reader / Skimmer Bug-Sweep 3.0

Specter turns your Flipper Zero into a pocket counter-surveillance bug-sweep for active 13.56 MHz NFC readers - a hidden card skimmer slipped into a payment terminal, a covert reader behind a door panel, a rogue logger taped under a desk. It passively senses the RF carrier that any powered-on...

Proxmark3 Custom Firmware 4.23346

This is a custom firmware written for the Proxmark3 device. It extends the currently available firmware. This release is nicknamed "FrostyLemon"...

Faraday 5.24.2

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...

APort Vault: Benchmarking AI Agent Payment Authorization with the Open Agent Passport

APort Vault is a benchmark for payment authorization in tool-using AI agents. It replays 4,371 attacks written by humans against a live payment agent during a public capture-the-flag event, across 14 models from 8 labs, five policy configurations and two replay tracks, with and without a...

A Multi-Cloud View of Internet Background Radiation

As services are increasingly centralized in public clouds, understanding the nature of Internet Background Radiation IBR hitting these particular environments is an important part of understanding their overall security posture. Classical network telescopes, long the cornerstone of IBR research,...

CASCADE against Jailbreaks: Combination across Stages with Controlled Attack-Defense Evaluation

Defenses against jailbreak attacks on Large Language Models LLMs operate at different pipeline stages, such as input modification or output guard, but it remains unclear which defenses to deploy at each stage and how to combine them. Prior empirical studies, fragmented by inconsistent...

Trust, but Validate the Instrument: Auditing AI-Generated RTL Verification Plans on Authored Security-Regression Proxies

AI-generated RTL verification plans can satisfy a provider schema yet fail at the boundary to trusted execution. We present SecTB-RTL, an auditable framework covering 31 tasks and 124 authored hardware-security regressions. A deterministic non-AI baseline killed 36, 75, and 78 mutants at increasi...

Inference-Engine Fingerprinting Attacks Are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape

Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced by recent sandbox escapes performed by frontier models at OpenAI and Anthropic. Discussions of how to sandbox inference stack components often foc...

TYPO3 Apache Solr Extension Query Injection

TYPO3 Apache Solr extension contains a query injection vulnerability in the txsolrq search parameter due to insufficient neutralization of Solr/Lucene query syntax. An unauthenticated remote attacker can submit field selectors, wildcard operators, and range queries to query fields outside the...

Joern 4.0.630

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...

angr 10.0.0

angr is an open-source binary analysis platform for Python. It combines both static and dynamic symbolic "concolic" analysis, providing tools to solve a variety of tasks...

Specter NFC Reader / Skimmer Bug-Sweep 2.9

Specter turns your Flipper Zero into a pocket counter-surveillance bug-sweep for active 13.56 MHz NFC readers - a hidden card skimmer slipped into a payment terminal, a covert reader behind a door panel, a rogue logger taped under a desk. It passively senses the RF carrier that any powered-on...

SoK: Trading Agents or Market Crashers? Dissecting Robustness and Security Failures in Academic Financial LLM Trading Schemes

Autonomous large language model LLM agents are moving rapidly into high-stakes domains, yet existing agentic-AI security studies remain largely domain-agnostic and overlook the distinctive, high-consequence attack surface such settings create. We examine this gap through financial trading agents,...

ALIBI: Adversarial Legitimacy Injection in Binary Input against LLM Malware Analyzers

Large language models are being integrated into malware triage workflows as reasoning components that summarize static evidence and produce analyst-facing verdicts. This paper shows that the same reasoning capability introduces a new attack surface. We present ALIBI, a semantic cover story attack...

AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection

Email spam and phishing attacks remain a critical security threat. Adversaries increasingly exploit large language models to craft contextually convincing malicious messages, and existing spam detection systems often struggle to keep pace. Generalization across diverse and evolving attack scenari...

Delphi Scanner: Efficient and Interpretable Static Malware Detection Via API Sequence Modeling

Static malware detection for Windows Portable Executable files demands a careful balance between detection effectiveness, computational efficiency, and analytical interpretability. This paper introduces Delphi Scanner, a static malware detection system for Windows PE files that balances efficienc...

On the Leakage of Massey Secret Sharing Schemes under Linear Computations

Leakage attacks on secret sharing schemes exploit partial information about individual shares to recover the underlying secret. In coding theory, linear exact repair schemes LERSs enable the recovery of one codeword symbol from a small amount of information obtained from the remaining symbols,...

JANUS: Denial-Of-Service Attack against Beam Hopping in LEO Satellite Networks

Low Earth orbit LEO satellite networks are increasingly used to provide global connectivity. However, each satellite has limited resources that need to be allocated according to demand, which varies geographically and over time. Beam hopping addresses this challenge by dividing a satellite's...

Robust Workflow Generation Via Adversarial Learning for Audio Deepfake Detection

The rapid advancement of speech synthesis and voice conversion technologies has made audio deepfakes increasingly realistic, posing serious security risks in practical applications. While existing detection methods achieve strong performance under controlled conditions, they often fail to...

Weather Data Spoofing Attacks on Rain-Adaptive Millimeter-Wave Frequency Selection in V2X Communication Networks

Connected vehicles use millimeter-wave mmWave sidelinks for the data rates cooperative driving demands, and emerging designs select the carrier band from sensed rainfall. We show that this weather awareness is an attack surface: an adversary who spoofs only the rainfall input dictates the victim'...

Experimental Demonstration of Finite-Size General Security Via Discrete-Modulated CVQKD with Real Time Postprocessing

Continuous-variable quantum key distribution CVQKD is compatible with telecommunication infrastructure, but implementing composable security with experimentally practical resources has remained challenging, particularly for discrete-modulated DM protocols. We report the first experimental...

Empirical Analysis of Randomness Quality in Differential Privacy Mechanisms

Differential Privacy DP relies on carefully calibrated random noise to protect individual privacy in statistical analyses. While theoretical work has analyzed DP under weakened randomness assumptions, the practical consequences of entropy degradation remain poorly understood. We present a...

Towards TEE-Certified DP: Verifiable Differentially Private Training on Legacy GPUs

Wide adoption of machine learning has created growing policy and regulatory demand for protecting sensitive training data, with differential privacy DP emerging as a key mechanism. Yet a less-studied problem is how to certify the faithful execution of DP during training: an external verifier shou...

CISA: Using Cyber Decoys to Strengthen Detection and Response

CISA developed this guidance to help defensive teams at varying levels of cybersecurity maturity plan and implement cyber decoy strategies that strengthen their detection and response capabilities. Many organizations struggle to detect adversaries who use legitimate credentials, native tools, and...

Reverse, Patch, Recompile: Defeating SSL Pinning from the Inside Out

Whitepaper called Reverse, Patch, Recompile: Defeating SSL Pinning from the Inside Out. Is SSL pinning blocking your network analysis? Learn how to dismantle client-side certificate validation by directly modifying the application's code. This step-by-step guide covers the art of decompiling,...

CISA: Using Cyber Decoys to Strengthen Detection and Response

CISA developed this guidance to help defensive teams at varying levels of cybersecurity maturity plan and implement cyber decoy strategies that strengthen their detection and response capabilities. Many organizations struggle to detect adversaries who use legitimate credentials, native tools, and...

Moonshot AI Kimi 1.0 Cross Site Scripting

Moonshot AI Kimi version 1.0 contains a stored cross site scripting vulnerability in HTML artifact preview rendering and the public Share view. Model-generated HTML artifacts can execute JavaScript within the application's origin, allowing a crafted shared artifact to access session values stored...

AgentLSD: Evaluating AI Security Agents under Adversarial Task Contamination

AI agents for security inspect web pages, source code, logs, configuration files, and command outputs. These environments may contain deceptive artifacts that influence the agent's behavior. We call this adversarial task contamination. Whereas prompt injection relies on attacker-supplied...

Characterizing Network Centralization and Observability in the Remote MCP Ecosystem

The Model Context Protocol MCP has emerged as the dominant interface for connecting autonomous agents to external data sources and execution environments. The ecosystem's transition from local process execution to remote Streamable HTTP deployments introduces unmeasured architectural and security...

When Agents Look like Beacons: NIDS Evasion by Model Context Protocol Traffic

The Model Context Protocol MCP standardizes communication between autonomous Artificial Intelligence AI agents and remote tools over Streamable HTTP. This shift introduces a class of machine-generated, authenticated, and high-frequency JSON-RPC traffic directly into enterprise networks. Enterpris...

CASHEWS: Source Preprocessor for LLM-Based Malicious Package Detection

Malicious npm package detection tools now leverage LLMs' semantic understanding of source code to detect malicious intent at scale. This capability has proven invaluable in identifying packages involved in recent supply-chain attacks such as Shai-Hulud. However, threat actors exploit the limited...

A Security Risk Assessment Framework for AI-Powered Development Tools

AI-powered development tools are now widely used to generate code and assist developers with routine programming tasks. Although existing work has identified vulnerabilities in AI-generated code, security-oriented work is often focused on vulnerability detection rather than risk assessment. To...

Robot Visions: Breaking ReCAPTCHA at Zero Cost and Zero Shot

Google reCAPTCHA is the most widely deployed visual CAPTCHA service, protecting hundreds of thousands of websites from automated bots. It serves as a critical line of defense against automated attacks, including credential stuffing, bulk account creation, and automated form abuse. It has proven...

MiST: Mid-Training LLMs for Cybersecurity

Cybersecurity combines high-stakes analysis with complex technical language, making it an impactful and challenging domain for LLMs. We present MiST Mid-trained Security Transformer, a suite of 8B and 32B models that achieve strong performance on public cybersecurity benchmarks. We use mid-traini...

AIJon: Automated Generation of Annotations for Fuzzing

Modern fuzzers use code coverage as feedback to guide their exploration which has proven to be an effective strategy for driving exploration. However, this strategy overlooks inputs that may be interesting to the target program even without uncovering new code paths. Fortunately, prior research h...

A GAN-Based Framework for Robust DDoS Attack Detection

The availability and consistency of online services remain vulnerable due to Distributed Denial of Service DDoS attacks. These attacks are evolving by adopting more complex strategies to evade traditional network security systems. Despite the effectiveness of machine learning models in detecting...

Measuring and Exploiting Implicit Trust in LLM Tool-Calling Pipelines

The Model Context Protocol MCP enables LLMs to invoke external tools, but every tool interaction exposes the model to attacker-controlled text through multiple input channels tool descriptions, tool results, sampling messages that share a single context window without privilege separation. In thi...

Beyond Direct Sensing: Harnessing Indirect Observations from Third-Party Sensors in Vehicle Tracking

Vehicle tracking is fundamental to applications ranging from urban mobility and public safety to security and defense. Conventional tracking relies on direct access to sensors that provide strong observations such as vehicle identity and location. In practice, however, factors such as ownership,...

PentestChain: A Cost-Aware, MCP-Orchestrated Framework for Automated Penetration Testing with Free-Tier LLMs

AI-driven penetration testing has been demonstrated with premium frontier models such as GPT-4, but the per-engagement token cost makes continuous, automated testing unaffordable for the smaller organisations that need it most. This paper presents PentestChain, a ten-phase automated penetration...