Xalgorix Autonomous AI Pentesting Agent 4.6.99

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...

Karma Pro 0.11

Karma Pro is an open source code review tool written in Swift that can assist code reviewers with a multitude of useful tools. Karma Pro is a macOS source-code security scanner AST base and Heuristics that statically analyses projects in multiple languages. It's backed by an ML classifier trained...

Specter NFC Reader / Skimmer Bug-Sweep 3.1.1

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...

Go x/crypto v0.51.0 SSH Authorization Bypass

Go golang.org/x/crypto versions before v0.52.0 contain an authorization bypass in certain SSH server configurations. This proof of concept creates a reachable SSH server path for vulnerability-scanner testing...

REDCap 13.3.0+ Survey Passthrough Scanner

REDCap versions 13.3.0 and higher contain an unauthenticated remote code execution vulnerability in survey passthrough routing and Data Import processing. This Python tool fingerprints candidate instances, evaluates version information and public survey hashes, and probes relevant routes...

WordPress 7.1.1 Path Traversal Checker

This diagnostic checker identifies whether WordPress versions 4.7.0 through 7.1.1 are exposed to an unauthenticated page-template path traversal issue and reports related compromise indicators...

Agentic Commerce Bench: Measuring Fraud Detection for Agents That Spend Money

AI agents now hold spend authority and settle payments without per-action human confirmation. The resulting loss is often not a security failure: a counterparty with the correct domain, the correct settlement address and a genuinely delivered service can charge more than it should, and no check...

Never Emitted: Reporter Attribution in GitHub’s Machine-Readable Vulnerability Records

The CVE record format defines a credits container that names who found or reported a vulnerability, with a typed role per entry. The OSV schema defines an equivalent field. GitHub, which assigns CVE identifiers for advisories in its ecosystems, collects this information from reporters, requires...

Backdoor in the Loop: Compromising Agentic Search Via Malicious Retrievers

Agentic retrieval-augmented generation RAG interleaves reasoning with repeated retrieval, giving the retriever influence over both the evidence an agent observes and its subsequent search decisions. We study retriever backdoors that exploit this feedback loop and repurpose weak backdoor...

Dual-Fit Imperative in Security Leadership: A Grounded Theory Investigation of CISO Role Enactment in Modern Organisations

The Chief Information Security Officer CISO has emerged as a strategically prominent executive role, confronting an adversarial environment, irreconcilable accountability tensions between security and business enablement, and a prevention paradox in which success remains invisible to resource...

Configuration, Not Conscience: A Large-Scale Empirical Study of LLM System Prompts

Leaked system prompts are often treated as windows into the hidden values of commercial language models, yet their composition is rarely studied at scale. We analyze a merged corpus of 407 leaked, reconstructed, or officially published system prompts from 62 vendors across four community...

Xalgorix Autonomous AI Pentesting Agent 4.6.95

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...

AgentXploit: Autonomous Repository-To-Runtime Red-Teaming for AI Agents

AI agents combine language models with external data and tools that can modify files, call APIs, or execute code. Security failures can arise when adversarial content changes an agent's tool use or when the surrounding software contains vulnerabilities such as path traversal or command injection...

A Three-Party W-State Quantum Secret Sharing Protocol with X-Gate Encoding and Forbidden-Outcome Detection

We develop a new three-party quantum secret-sharing QSS protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the...

Verifiable Randomness for Blockchain-Based Lottery Systems

As lotteries and other high-stakes decentralized applications increasingly depend on unpredictable randomness for their operations, the lack of a secure and transparent on-chain random number generator that is verifiable by all participants remains a critical open problem. Various approaches to...

FeatMark: Feature-Level Watermark Protection against Mimicry Attacks with Diffusion Models

Text-to-image diffusion models enable data-efficient "mimicry" attacks, wherein adversaries fine-tune the model on a handful of public photos to synthesize convincing forgeries of a target individual. A common countermeasure is to embed imperceptible, low-energy watermarks, yet recent studies sho...

AuthGuard-R: Safety-Compliant Mission Hijacking and Dual-Gate Defense for LLM-Controlled Robots

Large language models are increasingly used as high-level planners for mobile robots, robot manipulators, and autonomous vehicles. Recent studies show that these systems can be influenced through malicious text, speech, visual instructions, retrieved documents, and poisoned sensory context. Most...

Frame the Adversary: A Structure-Aware Attack Methodology

Frequency-based adversarial attacks have recently grown popular by exploiting spectral sensitivities shared across neural architectures. Unlike spatial perturbations, frequency-based attacks expose deeper vulnerabilities, making them especially valuable for robust evaluation of safety-critical an...

Resource-Optimized and Energy-Aware Agentic AI Framework Anchored on Blockchain for Secure Software Supply Chains

This paper proposes a blockchain-backed agentic security framework designed to safeguard the complete software development lifecycle SDLC while also securing the agentic AI components responsible for monitoring it. The framework coordinates a set of specialised security agents, covering source...

FARE: Forensic Acceptance Region Estimation for Catching Bait-And-Switch Image Generators

Modern AI image generators are increasingly deployed as opaque APIs, where customers can query the deployed service, but cannot inspect model weights or architecture. This creates a practical challenge: a provider may pass governance certification with one generator and later silently switch to a...

Crypto-Bound Identity-Verified Capability Tokens for Coordinating Distributed AI Agents: A Proposal

The prospect of fully autonomous transactional agents did not appear on the horizon until the advent of high capability language models. With such models, the operational benefits of adaptive task orchestration and independent but constrained decision making are tantalizing for enterprises and...

MetaPermit: Scalable and Auditable Access Control for AI Agents Via LLM-Inferred Meta-Attributes

The rise of autonomous AI agents equipped with tools has introduced significant security risks, ranging from unintended tool misuse to adversarial manipulation through Indirect Prompt Injection IPI attacks. In practice, deployed agent systems such as OpenAI Codex and Claude Code protect tool...

Towards Understanding LLM-Based Log Anomaly Detection: An Empirical Study of Performance, Efficiency, and Robustness

Large language models LLMs have demonstrated promising performance in log anomaly detection, yet how their adaptation strategies, architectures, and deployment configurations affect detection effectiveness remains insufficiently understood. To investigate these factors, we conduct a systematic...

Weaponizing Ground Truth: Data Poisoning Attacks by Exploiting Boundary Misalignment between Antivirus Software and Learning-Based Detectors

Machine-learning ML-based malware detectors are commonly trained using labels obtained from antivirus AV engines and aggregation services e.g., VirusTotal. This practice assumes AV-generated labels provide reliable supervision. However, small byte-level modifications can substantially alter AV...

Region-Level Black-Box Defense against Stealthy Embedding-Space Backdoors in CLIP

Contrastive Language--Image Pretraining CLIP has emerged as a dominant vision backbone due to its strong transferability and zero-shot capabilities. However, recent studies reveal a critical vulnerability: embedding-space backdoor attacks. By poisoning only a tiny fraction of image--text pairs,...

Joern 4.0.637

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...

How Much Must a Private Mempool Hide? Exact Leakage Thresholds for Sandwich Attacks

Private and encrypted mempools hide pending transactions to stop sandwich attacks and other forms of maximal extractable value MEV, but what they hide is rarely everything: a transaction's pair, direction, and a coarse range for its size can still leak. How much leakage makes sandwiching pay? We...

Breaking the Black Box: Byte-Level Boundary Inference of Real-World Antivirus Systems

Whitepaper called Breaking The Black Box: Byte-Level Boundary Inference Of Real-World Antivirus Systems...

GitHub Engagement Signals for CVE Prioritization: The GitHub Popularity Metric (GPM)

Whitepaper called GitHub Engagement Signals For CVE Prioritization: The GitHub Popularity Metric GPM...

TempQ-Jail: Query-Constrained Candidate Ranking for Text-To-Video Jailbreak Attacks

Existing text-to-video T2V jailbreak methods mainly seek more effective or stealthier attack candidates. In guarded T2V systems, however, video generation and security evaluation are costly, so an attacker often cannot test a large candidate pool. We therefore formulate T2V jailbreak as a...

How to Break the Miranda Signature Scheme over Matrix Gabidulin Codes

The Miranda signature scheme relies on masking a matrix code which disposes of a masked underlying structure, and the knowledge of which allows for efficient error decoding. We consider a Gabidulin code which is expanded into a matrix code, that is only \Fq-linear. An additional masking is then...

Short Paper: Prefix Count Limits Can Increase First-Hit Discovery in Card Reissuance

When a card number is compromised, an attacker may search for active numbers sharing its prefix. An issuer might respond by reissuing cards from heavily populated prefixes into less populated ones. We show that this intuitive count control can backfire. For fixed search regions, exposure weights,...

FragToken: Amplifying LLM Inference Costs through Noncanonical Token Generation

As large language model LLM inference becomes increasingly expensive, resource-consumption attacks pose a growing threat to model providers. Existing attacks typically amplify cost by inducing abnormally long or repetitive outputs on attacker-controlled or triggered requests, making them easier t...

Fast and Secure Simultaneous Authentication of Equals for WPA3

The Simultaneous Authentication of Equals SAE protocol, introduced in WPA3, provides robust protection against offline dictionary attacks against a network Pre-Shared Key PSK and also protection of session keys from other people knowing that PSK. However, its high computational cost for the...

AGATE: Provenance-Based Runtime Defense against Compositional Attacks on LLM Agents

LLM agents can produce harmful effects through sequences of ordinary operations. Judging such actions requires establishing both the authority that permits them and the origin of the data they carry. We present AGATE, an authorization and data-provenance gate at instrumented agent-harness...

Context-Aware Functional Modeling for Android Third-Party Library Detection

Third-party libraries TPLs are widely used in Android apps, but their reuse can introduce security risks and interfere with downstream program analyses. Existing Android TPL detection approaches face two key limitations: their hand-crafted features are fragile under aggressive code transformation...

XPhysICS: Cross-Physical-Domain Threat Grounding for Industrial Control Systems Security

Industrial control system ICS threats documented for one plant can express cyber-physical effects relevant to another, but semantic similarity alone does not establish whether those effects are structurally admissible or evaluable on a target. We present XPhysICS, a provenance-aware,...

JevAdvBench: A Benchmark and Black-Box Attacks for Reinforcement Learning for Calibrated Decisions Models

Models trained with reinforcement learning for calibrated decisions RLCD, such as Jev, answer a typed question about an input, the state, with a probability, a choice, or a score, and software acts on the answer without a person reading it. Their robustness has not been measured: adversarial...

LLM Agents Can Easily Tamper with Their Own Traces

Asynchronous monitoring, incident investigations, and compliance audits primarily rely on agent traces to reconstruct what happened. These analyses assume that LLM agents cannot tamper with their own execution traces. We show that local LLM agents such as Claude Code, Codex, Antigravity, Open Cod...

GNU Privacy Guard 2.5.24

GnuPG the GNU Privacy Guard or GPG is GNU's tool for secure communication and data storage. It can be used to encrypt data and to create digital signatures. It includes an advanced key management facility and is compliant with the proposed OpenPGP Internet standard as described in RFC2440. As suc...

REDCap 17.4.3 Survey Passthru Data Import Checker

REDCap versions 13.3.0 through 16.0.48, 17.0.0 through 17.3.9, and 17.4.0 through 17.4.3 contain an unauthenticated remote code execution vulnerability in survey passthrough routing and Data Import processing. This tool fingerprints instances and probes public-survey passthrough routes...

OllamaDrama: Designing and Deploying a Honeypot to Measure Attacks on Exposed LLM Infrastructure

Publicly exposed large language model LLM infrastructure creates a growing attack surface, yet real-world targeting remains poorly understood. We present Ollure, a low- and medium-interaction honeypot that emulates the Ollama API without a backend LLM. Spanning four deployments across cloud and...

Automated Abstraction Refinement for Information Flow Security in Embedded Systems

Information flow analysis IFA is a powerful technique for verifying confidentiality and integrity and is therefore highly desirable for security-sensitive embedded systems. However, as these systems are inherently concurrent and time-dependent, existing IFA for embedded systems tend to be either...

The Vulnerability of Neural Audio Watermarks under Speech Enhancement

Neural audio watermarks are increasingly deployed in commercial speech generation systems to make AI-generated speech traceable, yet their robustness has been studied mainly under conventional signal distortions. Since a watermark can be regarded as imperceptible noise added to the speech signal,...

Secure Polarization-Shift Backscatter Identification Applied to Battery-Free BLE Sensors Powered by Wireless Power Transfer

This paper presents a lightweight and protocolindependent security mechanism for battery-free Bluetooth Low Energy BLE sensor nodes operating in Simultaneous Wireless Information and Power Transfer SWIPT architecture. The proposed approach exploits polarization-shift backscattering of the wireles...

A Large-Scale Empirical Study of Modern Phishing Email Content

Phishing remains one of the most pervasive threats to Internet users, and email remains its predominant delivery channel. Email content is the attack surface of phishing: it is what the victim reads and what automated defenses inspect. Yet the composition of modern phishing content is poorly...

ClaimMirage: When Self-Claims in Domain Names Change LLM Threat Judgments

Short claims such as not-phishing or official can change how a large language model LLM judges a domain name, without explicit prompt-injection commands. We study this manipulation as ClaimMirage: a name under inspection claims its own safety or approval. We analyze 622,080 judgments across 64...

Wireshark Analyzer 4.6.9

Wireshark is a GTK+-based network protocol analyzer that lets you capture and interactively browse the contents of network frames. The goal of the project is to create a commercial-quality analyzer for Unix and Win32 and to give Wireshark features that are missing from closed-source sniffers. Thi...

Improving the Reliability of Anomaly Detection for Encrypted OPC UA Traffic over Private 5G

Open Platform Communications Unified Architecture OPC UA is increasingly deployed over private 5G networks in industrial environments, where end-to-end encryption prevents payload inspection by network-based intrusion detection systems IDSs. Although payload-agnostic statistical features extracte...

CISA: Recognizing and Addressing Threats to Statewide Voter Registration Databases

Recently declassified records revealed that China breached multiple state voter registration systems prior to the 2020 election. Unfortunately, this is not a new phenomenon. Unclassified reports from the last decade reveal that Statewide Voter Registration Databases VRDB are attractive targets fo...