Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection

Phishing remains the most pervasive threat to the Web, enabling large-scale credential theft and financial fraud through deceptive webpages. While recent reference-based and generative-AI-driven phishing detectors achieve strong accuracy, their reliance on external knowledge bases, cloud services...

ARM C1-Pro 安全漏洞

The ARM C1-Pro is a high-precision gas detector developed by ARM Corporation. Previous versions of the ARM C1-Pro, such as r1p2-50eac0, had security vulnerabilities. These vulnerabilities stemmed from the fact that the TLBI+DSB component might not be able to ensure proper memory access related to...

MultiVer: Zero-Shot Multi-Agent Vulnerability Detection

We present MultiVer, a zero-shot multi-agent system for vulnerability detection that achieves state-of-the-art recall without fine-tuning. A four-agent ensemble security, correctness, performance, style with union voting achieves 82.7% recall on PyVul, exceeding fine-tuned GPT-3.5 81.3% by 1.4...

cyart-vapt-week-2

cyart-vapt-team This repository contains the Week 2 VAPT lab w...

Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks

Collaborative Intrusion Detection Systems CIDS are increasingly adopted to counter cyberattacks, as their collaborative nature enables them to adapt to diverse scenarios across heterogeneous environments. As distributed critical infrastructure operates in rapidly evolving environments, such as...

Rethinking Security of Diffusion-Based Generative Steganography

Generative image steganography is a technique that conceals secret messages within generated images, without relying on pre-existing cover images. Recently, a number of diffusion model-based generative image steganography DM-GIS methods have been introduced, which effectively combat traditional...

StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors

AI-text detectors face a critical robustness challenge: adversarial paraphrasing attacks that preserve semantics while evading detection. We introduce StealthRL, a reinforcement learning framework that stress-tests detector robustness under realistic adversarial conditions. StealthRL trains a...

Out-of-Bounds

Overview Affected versions of this package are vulnerable to Out-of-Bounds via the apriltagdetectordetect function. An attacker can cause memory corruption by providing crafted input to this function during local execution. Remediation A fix was pushed into the master branch but not yet published...

CVE-2026-2246

A security vulnerability has been detected in AprilRobotics apriltag up to 3.4.5. Affected by this vulnerability is the function apriltagdetectordetect of the file apriltag.c. The manipulation leads to memory corruption. The attack must be carried out locally. The exploit has been disclosed...

CVE-2026-2246

A security vulnerability has been detected in AprilRobotics apriltag up to 3.4.5. Affected by this vulnerability is the function apriltagdetectordetect of the file apriltag.c. The manipulation leads to memory corruption. The attack must be carried out locally. The exploit has been disclosed...

CVE-2026-2246

A security vulnerability has been detected in AprilRobotics apriltag up to 3.4.5. Affected by this vulnerability is the function apriltagdetectordetect of the file apriltag.c. The manipulation leads to memory corruption. The attack must be carried out locally. The exploit has been disclosed...

CVE-2026-2246

CVE-2026-2246 affects the apriltag library (AprilRobotics) up to version 3.4.5. The vulnerability targets function apriltag_detector_detect in apriltag.c and results in memory corruption when exploited locally. Publicly disclosed exploit details are available, and a patch is identified by the pat...

KRONE: Hierarchical and Modular Log Anomaly Detection

Log anomaly detection is crucial for uncovering system failures and security risks. Although logs originate from nested component executions with clear boundaries, this structure is lost when they are stored as flat sequences. As a result, state-of-the-art methods risk missing true dependencies...

Detecting backdoored language models at scale

Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a practical scanner designed to detect backdoored models at scale and improve overall trust in AI...

xss_detector

No d...

TrojanGYM: A Detector-In-The-Loop LLM for Adaptive RTL Hardware Trojan Insertion

Hardware Trojans HTs remain a critical threat because learning-based detectors often overfit to narrow trigger/payload patterns and small, stylized benchmarks. We introduce TrojanGYM, an agentic, LLM-driven framework that automatically curates HT insertions to expose detector blind spots while...

Exploit for CVE-2025-36911

This is not an exploit for CVE-20...

CVE-2020-12122

In Max Secure Max Spyware Detector 1.0.0.044, the driver file MaxProc64.sys allows local users to cause a denial of service BSOD or possibly have unspecified other impact because of not validating input values from IOCtl 0x2200019. This also extends to the various other products from Max Secure...

Exploit for Improper Handling of Length Parameter Inconsistency in Mongodb

Mongobleed-D...

vulnerability-detector-platform

No d...