lexmark

Lexmark printer stuff This repository contains all the work related to Lexmark printers I've released to the public. Most of you are probably here for the firmware decryption utilities; check the tools folder. The exploit folder contains an at the time 0day exploit I developed that apparently...

llm-council-vapt

LLM Council — VAPT Finding Validation A blind peer-review pipeline that validates a penetration-test finding before it reaches a client. Independent expert lenses assess the finding, blind-review each other, and a Chairman synthesizes one vetted verdict — is it worth reporting, and is the severit...

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Open-source security workflows in your browser or coding agent. Backed by Y Combinator · The Swiss Applied AI & Cybersecurity Research Lab 0.security · Documentation · FoxGuard Latest release Get started Install on Apple Silicon macOS or x64/ARM64 Linux: curl -fsSL...

CVE-2026-54076

ArcadeDB is a Multi-Model DBMS. Prior to 26.6.1, the fix for CVE-2026-44221 added an UPDATESCHEMA authorization check only to LocalDocumentType.createProperty, while the remaining public schema mutators in engine/src/main/java/com/arcadedb/schema/LocalDocumentType.java and...

CVE-2026-54076 ArcadeDB: Read-only users can mutate database schema (incomplete fix of CVE-2026-44221)

ArcadeDB is a Multi-Model DBMS. Prior to 26.6.1, the fix for CVE-2026-44221 added an UPDATESCHEMA authorization check only to LocalDocumentType.createProperty, while the remaining public schema mutators in engine/src/main/java/com/arcadedb/schema/LocalDocumentType.java and...

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Nanobot — Modular AI Agent Implementation Implement an open-s...

Johnny Still Receives Spam SMS: Assessing the Robustness of SMS Spam Detection

SMS spam detection systems often achieve high accuracy in controlled environments but struggle against adversarial attacks and increasingly sophisticated spam tactics in real-world deployments. In this paper, we evaluate the robustness of SMS anti-spam systems that end users actually rely on,...

NeuroSploit v4.0.0

🧠 NeuroSploit v4.0.0 Autonomous, multi-model penetration-testing harness — Rust, CLI-only. by Joas A Santos & Red Team Leaders ⭐ If this is useful, star the repo — it helps a lot. 📖 New here? Read thefull Tutorial & User Guide → — every mode, flag, config and example explained. Version-by-version...

onyx-agent

Onyx Agent v68 Multi-LLM agent framework for security testing...

[SECURITY] Fedora 43 Update: goose-1.36.0-1.fc43

Goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously...

[SECURITY] Fedora 44 Update: goose-1.36.0-1.fc44

Goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously...

Beyond the benchmark: Advancing security at AI speed

In this article 1. From the lab into the pipeline 2. This month’s set of discoveries 3. Beyond the headline: What the engineering work taught us 4. Where we go next 5. Defense at AI speed 6. Learn more Every vulnerability has two clocks running. One belongs to the defender racing to find it; the...

Improving IoT Intrusion Detection through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data

The detection of intrusions in IoT-based networks poses challenges that cannot be overcome using traditional machine learning methods. Perhaps the biggest of them is related to the presence of a class imbalance in the side-channel dataset, where the number of samples in the normal class compared ...

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models

While vision and multimodal foundation models underpin critical tasks from perception to complex reasoning, they remain highly vulnerable to adversarial attacks. However, traditional adversarial attacks are typically limited to single, predefined objectives, tightly coupling each attack to a...

Microsoft's MDASH AI System Finds 16 Windows Flaws Fixed in Patch Tuesday

Microsoft has unveiled a new multi-model artificial intelligence AI-driven system called MDASH to facilitate vulnerability discovery and remediation at scale, adding that it's being tested by some customers as part of a limited private preview. MDASH, short for m ulti-mod el a gentic s canning h...

CVE-2026-44221

ArcadeDB is a Multi-Model DBMS. Starting in version 21.10.1 and prior to version 26.4.2, authenticated users and API tokens scoped to a specific database could read, write, and mutate schema on any other database on the same server. Two distinct defects contributed: 1...

[SECURITY] Fedora 44 Update: goose-1.23.2-8.fc44

Goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously...

[SECURITY] Fedora 43 Update: goose-1.23.2-7.fc43

Goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously...

PT-2026-22468

CVE-2024-62819 Nexus AI Chatbot A production-grade AI chatbot platform, forked from Vercel's Chat SDK and extended with multi-model support, document management, RAG search, and custom AI agents. Live https://t.co/yWk2xxjelG...

Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply Chains

As AI agents become integral to enterprise workflows, their reliance on shared tool libraries and pre-trained components creates significant supply chain vulnerabilities. While previous work has demonstrated behavioral backdoor detection within individual LLM architectures, the critical question ...