On a General Theoretical Framework for Radio Frequency Fingerprint-Based Authentication

While radio frequency fingerprint RFF-based wireless device authentication has been widely studied across different datasets and scenarios, there still lacks a fundamental theory to explain why and how RFF can serve as a reliable device identity, significantly hindering the practical application ...

POKEx: Performance Analysis of POKE-Key Exchange and SIDH-Variants

In this paper, we present a comparative performance analysis of the POKE-based key exchange and SIDH variants. SIDH gained attention for its small key size and efficient performance, and has been selected as an alternate candidate in NIST PQC Round 4. However, following the key recovery attack by...

Apple Security Advisory 07-27-2026-8

Apple Security Advisory 07-27-2026-8 - Safari 26.6 addresses out of bounds access, spoofing, and use-after-free vulnerabilities...

Beyond the Quantum Promise: A Security Analysis of Classical Control in Quantum Key Distribution

Quantum Key Distribution QKD protocols provide information-theoretic security by using quantum mechanical principles. Yet QKD is fundamentally a hybrid protocol: its security depends on the correct integration of the quantum phase with classical post-processing. While ETSI and ITUT specifications...

Nmap Port Scanner 7.991

Nmap is a utility for port scanning large networks, although it works fine for single hosts. Sometimes you need speed, other times you may need stealth. In some cases, bypassing firewalls may be required. Not to mention the fact that you may want to scan different protocols UDP, TCP, ICMP, etc...

The DCHECK Illusion: Chrome's Trusted Path Policy Creates Vulnerabilities

An analysis of Chrome Mojo IPC finding 296 DCHECK instances across mojo/core/ and mojo/public/cpp/bindings/lib/, at least 15 guarding security-relevant conditions bounds checks, offset validation, handle state with ZERO protection in release builds...

Microsoft.com CL.0 Desync

www.microsoft.com appears susceptible to HTTP request smuggling but Microsoft seems to not care...

Statistical Analysis of Executability and Program Equivalence in Decompilation for IoT Vulnerability Detection

Internet of Things IoT devices handle sensitive privacy-related information such as user audio, video, and authentication data, making it essential to detect vulnerabilities in their firmware. Decompilation, a key detection technique, has recently attracted attention because Large Language Models...

Tracking-Assisted Robust Secure Transmission against a Mobile Eavesdropper in Cell-Free ISAC Networks

In this paper, we propose a tracking-assisted robust secure transmission framework for cell-free integrated sensing and communication ISAC networks that exploits distributed multistatic sensing to recursively track a mobile eavesdropper and quantify the associated position uncertainty. Since robu...

SoK: Cryptographic Key Recovery for Cryptoasset Custody and Financial Technologies

Cryptoasset systems often bind cryptographic key control to financial control: losing a wallet seed, custody share, hardware device, or smart-account credential can remove spend authority, while compromised recovery can enable theft. Existing work treats recovery through separate vocabularies--ke...

SynChain: Inducing Computer-Use Agent Systems to Construct Their Own Attack Chains

Computer-use agentsCUAs have transformed large language models into persistent execution systems capable of generating, storing, and reusing artifacts like skills and memory entries. However, existing security defenses largely treat attacks as externally triggered or temporally bounded, leaving a...

When Coordination Becomes a Threat: Communication Attacks in LLM-Controlled Multi-Robot Systems

Large Language Models LLMs are increasingly used as high-level planners in embodied multi-robot systems, enabling robots to interpret natural language instructions and coordinate executable actions. Yet, this growing reliance on LLM planners also raises security concerns. Prior work has focused...

Effects of Parental Controls in the Context of Digital Forensics

Parental control systems are designed to protect minors online, but can inadvertently obstruct digital forensic investigations. When enabled, these systems restrict administrative privileges, disable debugging options, and alter data accessibility, complicating evidence acquisition and analysis...

Understanding and Improving Model Editing for Secure Code Generation

Large language models LLMs are widely used for code generation, yet they can reproduce vulnerable implementations learned from insecure training patterns. Prior work has mainly explored inference-time hardening, which reduces insecure generations without modifying the target model but relies on...

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools

Rapid adoption of large language models LLMs in enterprise settings has introduced operational, security, and governance risks. As generative AI applications move from pilot to production, manual harm identification and mitigation are becoming difficult to scale. Although many tools support model...

Apple Security Advisory 07-27-2026-6

Apple Security Advisory 07-27-2026-6 - watchOS 26.6 addresses buffer overflow, bypass, code execution, double free, information leakage, integer overflow, out of bounds access, out of bounds read, out of bounds write, spoofing, and use-after-free vulnerabilities...

Apple Security Advisory 07-27-2026-5

Apple Security Advisory 07-27-2026-5 - tvOS 26.6 addresses buffer overflow, bypass, code execution, double free, heap corruption, information leakage, integer overflow, out of bounds access, out of bounds read, out of bounds write, spoofing, and use-after-free vulnerabilities...

Dual-Node NVIDIA DGX Spark over Tailscale: A Remote-Access Testbed for Distributed LLM Training and Cyber-Threat-Intelligence Fine-Tuning

Compact AI systems make local language-model experimentation increasingly accessible, yet practical evidence for multi-node training on desktop-class accelerators remains limited. This report presents a proof-of-concept deployment of distributed NanoChat pretraining across two NVIDIA DGX Spark...

Apple Security Advisory 07-27-2026-2

Apple Security Advisory 07-27-2026-2 - macOS Tahoe 26.6 addresses buffer overflow, bypass, code execution, denial of service, heap corruption, information leakage, integer overflow, out of bounds access, out of bounds read, out of bounds write, spoofing, traversal, and use-after-free...

An Analysis of Architectural and Operational Dynamics of Phishkits in the Wild

Phishing attacks have always been a favored vector for adversaries to defraud users, bypass modern defense mechanisms, and penetrate critical systems. Among all the elements contributing to the creation and deployment of successful phishing attacks, phishkits stand out as a crucial parameter...

Cisco Catalyst 8000V Heap Buffer Overflow

An authenticated heap buffer overflow in Cisco Catalyst 8000V sd-wan allows an attacker with low privileges to corrupt process memory and achieve remote code execution...

China RealDID: Verifiable Credentials Anchored in Legal Identity

Verifiable credentials VCs and decentralized identifiers DIDs enable selective disclosure but lack legal anchoring: without a trusted identity root, verifiers cannot distinguish a genuine holder from a fabricated identity. State identity systems provide biometric-grounded verification but impose...

The Anatomy of a Prompt Injection: A Component Model for Structured Analysis

Four years after prompt injection was first identified in 2022, attacks are still predominantly documented as verbatim strings rather than structured exploits, despite advancing agent capabilities and threat actors embedding injections to subvert AI-assisted security analysis. This paper formaliz...

Apple Security Advisory 07-27-2026-7

Apple Security Advisory 07-27-2026-7 - visionOS 26.6 addresses buffer overflow, bypass, code execution, double free, heap corruption, integer overflow, out of bounds access, out of bounds read, out of bounds write, spoofing, and use-after-free vulnerabilities...

MIFA: An MILP-Based Framework for Improving Differential Fault Attacks

At ASIACRYPT 2021, Baksi et al. introduced DEFAULT, a block cipher designed to algorithmically resist Differential Fault Attack DFA, claiming 64-bit DFA security regardless of the number of injected faults. At EUROCRYPT 2022, Nageler et al. demonstrated that DEFAULT's claimed DFA resistance can b...

TONTOU: On the Exploitability of Time-of-Neutralization to Time-of-Use Windows

Recently deployed Spectre v2 mitigations neutralize branch predictor state when switching privilege contexts or immediately prior to indirect branch execution, either through domain isolation or sanitization. These defenses assume that subsequent branch predictor behavior remains free from attack...

Hardware Keystores for AI Agent Signing Workflows: A Zero-Trust MCP Enforcement Architecture

AI agents performing cryptographic operations signing Git commits, authenticating API calls, issuing certificates currently store private keys in software-accessible locations: plaintext files, environment variables, or container memory. Any process with sufficient read privileges can extract the...

Resource-Aware Intrusion Detection in Infrastructure Networks: A Game-Theoretic Approach

Infrastructure networks increasingly rely on distributed sensing to detect intrusions before attackers reach valuable assets. Yet sensing devices, communication resources, and edge server capacity are limited, while intelligent attackers can adapt their routes to the deployed defense. Motivated b...

Improving Interoperability among Defence and National Security Ontologies: Analysis and Evaluation Tasks

The use of ontologies and knowledge graphs is becoming increasingly widespread in the defence and national security domain. Numerous ontologies have been developed through initiatives led by academia, industry, and government. Achieving interoperability across diverse defence and national securit...

Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence

Mapping cyber threat intelligence CTI text to MITRE ATT&CK techniques is essential for structured threat analysis, yet manual annotation is costly and does not scale. The ATT&CK taxonomy comprises several hundred attack techniques, and a single CTI passage may describe multiple techniques, making...

CyberForge: Verified Vulnerability Injection at Repository Level for Cybersecurity Agent Training

Despite recent advances, frontier large language model LLM agents remain limited in discovering and patching complex vulnerabilities in real-world software. Generally available agents can already aid attackers, who only need to find one exploitable weakness, while defenders must continuously...

On the Figures of Merit for Quantum Software Security: Toward a Benchmarking Rubric

Quantum software is increasingly provided through multi-tenant and cloud-based Quantum-as-a-Service QaaS stacks. A growing concern about the diverse attack vectors across the pipeline has been demonstrated in recent research. Yet the community has converged on three mature pillars: Scale Qubit...

An End-To-End Threat Model for the Quantum-As-A-Service Pipeline

Cloud-based accessing of Quantum-as-a-Service QaaS platforms such as IBM Quantum, IonQ Cloud, and Amazon Braket is becoming popular day by day. Hybrid quantum-classical algorithms VQE, QAOA, QML transfer data via a long layered pipeline of orchestration, compilation, and execution. Recent works...

Quantum One-Way Functions and Related Cryptographic Primitives

Quantum cryptographic primitives beyond key distribution remain a less well understood area of research. In classical cryptography, one-way functions underpin nearly all standard cryptographic protocols, motivating the search for meaningful quantum analogues and for a clear understanding of the...

Canonicalization Failures As a Recurring Vulnerability Class: Representation Divergence in Cryptographic Systems and Its Avoidance

Cryptographic systems operate on bytes but mean semantic objects. The translation between the two is rarely unique. Where this uniqueness is not enforced, an attack surface opens up as soon as a hash, a signature, replay protection, or consensus identity depends on the representation. The same...

The Vulnerability with No CVE: Managing Persistent Gaps between Mandate and Authority in AI Coding Agents

Existing guidance identifies excessive agency, excessive permission, weak task-bound authorization, and inadequate agent controls as important risks. Control frameworks also describe capabilities for constraining, authorizing, observing, validating, and responding to agent activity. Yet security...

Enhancing Anomaly Resilience in Research Networks: A Large-Scale Forecasting Benchmark for Dynamic Security Baselining

Research and Education Networks RENs serve as critical infrastructure for scientific discovery, yet they face a unique security paradox: their normal traffic patterns which are characterized by massive, bursty "elephant flows" are statistically indistinguishable from volumetric attacks such as DD...

From Documentation to Zero-Day Vulnerabilities: LLM-Driven Fuzzing of JavaScript Engines in PDF Readers

Existing fuzzers for PDF readers rely on simple test cases that involve only individual API calls, leading to limited coverage and potentially missing vulnerabilities that require sequences of API calls. To address these limitations, we propose PDFuzzer, a novel PDF engine fuzzer that automatical...

Breaking Customized LLMs for Coding: Automated Red Teaming for Instruction Backdoor Attacks

LLM customization platforms allow users to build task-specific models for code intelligence tasks by embedding instructions into system prompts, without modifying the underlying model parameters. While these platforms lower the barrier to developing customized LLMs, they also introduce a new atta...

Sub-Vacuum Jamming for Secure Communication

Artificial-noise jamming improves physical-layer security by degrading an eavesdropper's channel, but the injected noise also interferes with the legitimate receiver. We introduce a correlated-jamming protocol based on classical and quantum correlations that suppresses this self-interference whil...

Joern 4.0.597

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...

Dfence: Fine-Grained Speculation Barriers for Efficient and Effective Hardware-Software Protection in the Spectre Era (Extended Version)

Speculative execution attacks such as Spectre-PHT and Spectre-STL remain a critical security concern in modern processors. While software-based mitigations like Speculative Load Hardening SLH offer effective protection against Spectre-PHT, they are limited in scope and require software-managed...

Tool Demo: Topology Analysis with GPML for Detection of Cyberattacks in Water Distribution Networks

Water distribution networks depends on industrial control systems to integrate the physical process with communication network, making them vulnerable to cyberattacks that alter the traffic pattern and network behavior. Traditional detection approaches that rely on raw traffic or protocol...

Tight Security for BBS Signatures

This paper studies the concrete security of BBS signatures Boneh, Boyen, Shacham, CRYPTO '04; Camenisch and Lysyanskaya, CRYPTO '04, a popular algebraic construction of digital signatures which underlies practical privacy-preserving authentication systems and is undergoing standardization by the...

RustGo: Fairly Directed Greybox Fuzzing for Enforcing Rust Memory Safety

Rust is a popular systems programming language that provides strong memory safety and introduces low-performance overhead. While Rust guarantees memory safety through strict security policies, such as ownership, memory bugs can still occur in unsafe-related Rust codes where these policies are not...

CyberLLM: A Multi-Agent LLM Framework for Autonomous Detection and Guarded Response in Automotive Cybersecurity

Software-Defined Vehicles SDVs expand the automotive attack surface across source code, runtime logs, and deployment topologies, while safety constraints forbid autonomous agents from acting without oversight. This paper presents CyberLLM, a multi-agent, LLM-orchestrated framework that autonomous...

Web Cache Overflow: Exploiting Imprecise Keys for Cache Degradation and Beyond

Web caches support the scalability needs of contemporary web applications by storing frequently accessed objects closer to clients. Web caches are conceptually associative arrays, tracking stored objects using cache keys consisting of HTTP request fields. However, these cache keys are often...

Drupal Core 11.3.9 Anonymous Blind SQL Injection

A proof of concept exploit for an anonymous blind SQL injection vulnerability in Drupal Core version 11.3.9. The vulnerability affects Drupal Core versions 8.9.0 through 11.3.9 when using PostgreSQL as the database backend and is caused by improper handling of attacker-controlled array keys while...

Behavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks

Modern vehicles rely on the Controller Area Network CAN bus, whose design prioritizes low cost and real-time performance but provides no message authentication or encryption. An attacker with physical or remote access can therefore inject arbitrary frames, making intrusion detection an important...

PromptShield Home: Ambient Multimodal Prompt Injection Defense for Smart-Home Agents

Smart-home assistants increasingly use multimodal large language models MLLMs that perceive video and audio directly. This raises a safety question specific to the home: can the agent tell a genuine user command from ambient or externally-sourced content, television speech, on-screen text, or an...