HoF-Bench: Rediscovering Real AI-Discovered CVEs without Frontier Models

AISLE's analyzer is credited with more than 280 CVEs across 78 projects, including OpenSSL, curl, and GnuTLS. They introduce HoF-Bench named after AISLE's public Hall of Fame, a benchmark built from 95 of these public AI-discovered CVEs across eight repositories pinned at vulnerable commits...

FreeBSD Security Advisory - FreeBSD-SA-26:52.if_wg

FreeBSD Security Advisory - After dispatching a decrypt operation to OCF and receiving the result, the wg4 driver failed to check whether the MAC verification step succeeded. The driver thus silently accepted packets with an invalid Poly1305 authentication tag...

FreeBSD Security Advisory - FreeBSD-SA-26:53.ktrace

FreeBSD Security Advisory - As an inadvertent side effect of an unrelated code change, PRIVKTRACE was always denied to a jailed root user. Tracing configured by a jailed root user was therefore not flagged as privileged...

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response

Large Language Model LLM agents are increasingly adopted in real-world security operations with access to host artifacts and command-line interfaces CLIs, making it critical to thoroughly assess their security capabilities. However, existing cybersecurity benchmarks focus on pre-compromise settin...

Microsoft SharePoint CVE-2026-50522 Post-Exploitation Payload Collection

A collection of payloads, webshells, and HTTP request artifacts observed following exploitation of the Microsoft SharePoint CVE-2026-50522 vulnerability. The repository documents real-world payloads deployed by multiple threat actors rather than providing an exploit for the underlying vulnerabili...

FreeBSD Security Advisory - FreeBSD-SA-26:54.sysvsem

FreeBSD Security Advisory - The GETALL and SETALL commands in semctl2 recorded the number of semaphores in the target set, dropped the lock protecting the set, allocated a buffer sized for that count, and reacquired the lock. A sequence-number check was used to verify that the set had not been...

Enhancing the Security of Coherent One-Way Quantum Key Distribution Using CHSH Correlations

The coherent one-way COW protocol is a quantum key distribution scheme that has attracted significant attention, leading to the development and commercialization of practical implementations. Despite this progress, the security of the COW protocol has remained a fundamental challenge since its...

Nimux 1.0.3

Nimux is a native command surface for authorized security assessments. It combines network enumeration, credential validation, Active Directory operations, Kerberos workflows, remote execution, file movement, secrets collection, DCSync, GPO operations, database clients, and SOCKS routing into one...

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping

Threat modeling is essential for secure software development, yet manual analysis of cloud-native architectures is slow and demands scarce security expertise. We present ThreatForest, a multi-agent system that generates structured attack trees from source code repositories, maps attack steps to...

Targeted Quarantine Strategies Mitigate SIS-Model Cyber Epidemics on Complex Networks

The rapid expansion of highly connected and heterogeneous digital infrastructures has fundamentally altered the dynamics of cyber epidemics, making it increasingly important to understand how malware propagates under realistic structural and policy conditions. In this study, we employ an SIS...

Quantum Random Number Generation Using Spatial Quantum Noise of Light

Generating high-speed, verifiable random numbers is a fundamental requirement for cryptography, large-scale stochastic simulations, and secure quantum communication. Here, we present a robust quantum random number generator that utilizes the spatial distribution of quantum fluctuations captured b...

From Backlog Items to Security Guidance: Towards Continuous Security Compliance

Continuous software engineering in regulated domains requires engineering teams to address security throughout the development lifecycle. Yet making security requirements explicit in backlog items is still problematic. Engineers must instead infer security relevance of backlog items from brief,...

Xalgorix Autonomous AI Pentesting Agent 4.5.100

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...

Send and Pretend: Exploiting Transcript Consistency Issues in End-To-End Encrypted Group Chats

End-to-end encrypted E2EE messaging apps are widely praised for their security and thus also used for sensitive coordination in group chats e.g., by political decision makers. After Threema and WhatsApp, also Signal and iMessage have recently introduced polls to aid agreement processes in groups...

FreeBSD Security Advisory - FreeBSD-SA-26:50.kqueue

FreeBSD Security Advisory - While the kernel was copying knotes during fork, a knote with a timer-based filter could fire and be enqueued on the kqueue's active list before the copy was complete. The copy routine did not account for this and could enqueue the new knote a second time, corrupting t...

Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection

Real-world vulnerabilities often span multiple functions, yet most learning-based detectors classify each function in isolation: on a sample of real CVEs, we find that 71.7% of vulnerable functions require evidence from outside the function to be classified correctly. Agentic reinforcement learni...

CVE-2026-51302 Appears Hallucinated

This write-up argues that CVE-2026-51302 is invalid and that the published advisory is based on incorrect analysis rather than an actual SQLite vulnerability...

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents

Large language model LLM agents automate penetration testing through an observation-action loop, selecting actions based on observations returned by tools. This dependence allows defenders to inject deceptive observations that can mislead the agent's decision-making process. However, existing...

CDN Tsunami: Exploiting HTTP/3-HTTP/1.1 Conversion for DoS Attacks

Content Delivery Networks CDNs provide high availability, accelerate content delivery for their host websites, but are also vulnerable to different types of Denial-of-Service DoS attacks. Prior works have studied a variety of DoS attacks with HTTP/1.1 or HTTP/2 connections, but most of them are...

A Controlled Candidate-Set Benchmark for Offline Satellite-Security Plan Decomposition

Some security-development settings require local models that map an objective to an ordered, checkable plan. We present a low-rank decomposition adapter and release a case-disjoint corpus with 24 authored decompositions and 83 derived next-step examples across 24 satellite-security cases. To...

AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis

The intersection of artificial intelligence adoption, cybersecurity governance, and public sector institutional constraints has not been examined as a unified analytical problem in the existing literature. Studies address AI cybersecurity risks generically, public sector governance independently,...

Impossible to Hide Secret ...: Uncovering Security and Privacy Issues in LLM-Native IDEs

LLM-native IDEs Integrated Development Environments, aka LIDEs, are designed from the ground up to work with Large Language Models LLMs. LIDEs have found remarkable success in Software Engineering SE tasks such as coding, debugging, and program comprehension. LIDEs are software systems, and, like...

Joern 4.0.590

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...

Benchmarking Optical Receivers for Quantum Communication and Randomness Certification

The choice of optical receiver determines which properties of the transmitted states remain visible in the observed data and therefore affects the performance of different quantum protocols. We compare continuous-variable, photon-counting and hybrid receivers within the same prepare-and-measure...

HiTMS: A High-Throughput Multi-Stream Linguistic Steganography Framework

Research code for linguistic steganography over LLM chat dialogues, with a single-stream baseline and a batched multi-stream HiTMS protocol that hides several independent secret messages at once and exploits GPU batching for much higher throughput. A Bob model asks questions; an Alice model...

tcpreplay 4.6.0

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...

The Disruptive Impact of Large Language Models on Capture the Flag Competitions and the Path toward Fair Play

Capture the Flag CTF competitions are among cybersecurity's most effective training grounds, developing practical skill across cryptography, web exploitation, and binary exploitation. Large language models LLMs can now solve a growing share of challenges with minimal human input, raising urgent...

Xalgorix Autonomous AI Pentesting Agent 4.5.89

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...

(EC)2: Event-Centric Explainability for Cybersecurity through Multi-Agent LLM Investigations

Security operations centers rely on anomaly detection systems to flag suspicious events. Feature-level explanations for anomaly detectors offer limited value for operational investigations. To effectively handle alerts, analysts need to know contextual relationships and need actionable...

Distributing Security Controls through Harness Engineering

AI coding agents are being adopted at historic speed, yet security and risk concerns remain the primary barrier to scaling agentic AI across organizations. Existing security controls for coding agents are not systematically distributed to engineering teams, and vendor-native solutions introduce...

C-RE-ACT: Causal RE-ACTing Agent for O-RAN Forensic Triage

The shift to O-RAN architectures marks a turning point in cellular security, where increased openness and modularity directly translate into a broader attack surface. Among the security threats cataloged by the O-RAN Alliance Working Group 11, performance-degradation attacks constitute the larges...

StealthBench: Measuring Operational Stealth in Autonomous Offensive-Security Agents

Stealth, the discipline of achieving an objective without revealing your presence, capabilities, or collected intelligence, is what separates sophisticated operators from detectable ones. Elite security researchers and advanced persistent threats achieve their objectives unnoticed; autonomous...

QUIC-TRIP: A Triple-Redundant Journey toward Secure Substation Communications

Modern power systems rely on real-time substation communication protocols, such as the Routable Generic Object-Oriented Substation Event R-GOOSE, for critical control and protection functions. However, these protocols often lack built-in security features and prioritize availability over...

Does Runtime Topology Context Improve LLM-Generated Kubernetes Security Patches?

Kubernetes is central to the cloud-native ecosystem, orchestrating containerised workloads. Recent work suggests that large language models LLMs can automate cluster security remediation, generating configuration patches from Kubernetes Security Posture Management KSPM findings without human...

A Structuration Approach to Theorizing Cybersecurity Practice: The STARC Model

The problem: Cybersecurity practice runs simultaneously across analysts, teams, organizations, sectors, and regulators, co-evolves with adversaries, and increasingly blends human and algorithmic decision-making. The theories applied to it operate at single organizational levels and cannot explain...

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response

Cyber-capable AI agents combine language models with tools, memory, and execution en- vironments to perform multi-step offensive-security tasks. Existing work separately measures cyber capability and catalogs attacks against agent components, but provides less guidance on containing a capable age...

Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion

We present a reproducible pipeline for mapping Common Vulnerabilities and Exposures CVEs to MITRE ATT&CK Enterprise techniques from free-text vulnerability descriptions. Rather than relying on the CWE-CAPEC-ATT&CK derivation chain, whose table-expansion artifacts we quantify, we train a multi-lab...

RedAmon 6.2.5

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...

Network Reciprocity Shapes Evolutionary Cybersecurity Dynamics

AI-assisted cybersecurity systems are characterised by continuous adaptation between attackers and defenders, making evolutionary game theory a natural framework for studying their long-term behaviour. However, existing evolutionary cybersecurity models have primarily focused on homogeneous...

From Profiling to Parameterization: Physics-Guided Acoustic Eavesdropping Via Smartphone Accelerometers

We present LEAKFORGE, a device-agnostic framework that converts cross-device accelerometer eavesdropping into a physics-guided data-generation problem. Crucially, device-specific leakage is not arbitrary; its dominant variation lies within a constrained family of audio-to-accelerometer transfer...

SkillGate: Cost Efficient Runtime Malicious Skill File Detection in Coding Agents

Software engineering teams now deploy AI coding agents Cursor, Claude Code, GitHub Copilot as first-class productivity tools, installing domain-specific skill files to tailor agent behavior to project APIs, framework conventions, and organizational workflows. These complex Markdown files are easi...

Specter 2.1 NFC Reader / Skimmer Bug-Sweep FlipperZero

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...

Communication Security Via Temporal Dependency

Communication security has traditionally been built upon one of two external resources: shared secret keys or a communication advantage over the eavesdropper. However, many practical wireless scenarios, including infrastructure-less, emergency, and highly dynamic networks, cannot guarantee either...

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...

Just Testing, Move Along: Evasion of LLM-Based System Log Interpretation by Prompt Injection

Large Language Models LLMs are increasingly integrated into Security Operations Center SOC workflows, where they support analysts in tasks such as the interpretation of system logs. However, the ability of LLMs to directly process untrusted textual input also introduces new attack surfaces. In...

Microsoft Active Directory Certificate Services CVE-2026-54121 Detection Tool

Microsoft Active Directory Certificate Services AD CS is affected by a privilege escalation vulnerability that allows an authenticated domain user to obtain a certificate capable of impersonating a Domain Controller, potentially leading to complete Active Directory compromise. This repository...

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors Via Adversarial Code Comments

Large language models are increasingly deployed for security-sensitive tasks such as vulnerability detection and code review. Their reliance on natural-language context embedded in source code exposes a previously underexplored attack surface: adversarial comments that can influence a detector's...

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...

VulnGym: Evaluating Vulnerability Management Strategies against Advanced Persistent Threats

Enterprise networks are continuously targeted by Advanced Persistent Threats APTs, attack campaigns exploiting software vulnerabilities to compromise critical assets over time. As disclosed vulnerabilities grow, resource-constrained organizations must prioritize which ones to patch. Existing...

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation

Cloud telemetry arrives at a scale that, paradoxically, makes intrusion understanding harder rather than easier. Attackers operate through legitimate identity, federated session tokens, and cloud native APIs indistinguishable from routine administration, and analysts spend an incident...