Botpress Chatbot Detected

This is an informational plugin to inform the user that the scanner has detected a publicly accessible Botpress chatbot on the target application. Botpress is an open-source visual framework to build & deploy GPT/LLM Agents. This detection is included in the AI and LLM category. No source data...

Typebot Chatbot Detected

This is an informational plugin to inform the user that the scanner has detected a publicly accessible Typebot chatbot on the target application. Typebot is an open-source chatbot builder. This detection is included in the AI and LLM category. No source data...

Client-Side Zero-Shot LLM Inference for Comprehensive In-Browser URL Analysis

Malicious websites and phishing URLs pose an ever-increasing cybersecurity risk, with phishing attacks growing by 40% in a single year. Traditional detection approaches rely on machine learning classifiers or rule-based scanners operating in the cloud, but these face significant challenges in...

CVE-2024-57783

The desktop application in Dot through 0.9.3 allows XSS and resultant command execution because user input and LLM output are appended to the DOM with innerHTML in render.js, and because the Electron window can access Node.js APIs...

Assessing and Enhancing Quantum Readiness in Mobile Apps

Quantum computers threaten widely deployed cryptographic primitives such as RSA, DSA, and ECC. While NIST has released post-quantum cryptographic PQC standards e.g., Kyber, Dilithium, mobile app ecosystems remain largely unprepared for this transition. We present a large-scale binary analysis of...

vLLM 安全漏洞

vLLM is a vLLM open source high throughput and memory efficient inference and service engine for LLM. A security vulnerability exists in vLLM versions prior to 0.9.0 that stems from a timing difference in the PageAttention mechanism that could be exploited...

CVE-2024-3166

A Cross-Site Scripting XSS vulnerability exists in mintplex-labs/anything-llm, affecting both the desktop application version 1.2.0 and the latest version of the web application. The vulnerability arises from the application's feature to fetch and embed content from websites into workspaces, whic...

CVE-2021-30348

Improper validation of LLM utility timers availability can lead to denial of service in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music...

Label Studio < 1.18.0 Reflected Cross-Site Scripting

Label Studio versions prior to 1.18.0 are vulnerable to a Reflected Cross-Site Scripting on '/projects/upload-example/' endpoint. This detection is included in the AI and LLM category. No source data...

The Rise of the LLM AI Scrapers: What It Means for Bot Management

Explore the rise of LLM AI scrapers and learn how to adapt to growing bot traffic with data-backed insights from our research...

The Rise of the LLM AI Scrapers: What It Means for Bot Management

Explore the rise of LLM AI scrapers and learn how to adapt to growing bot traffic with data-backed insights from our research...

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems

The increasing complexity and scale of the Internet of Things IoT have made security a critical concern. This paper presents a novel Large Language Model LLM-based framework for comprehensive threat detection and prevention in IoT environments. The system integrates lightweight LLMs fine-tuned on...

A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network

Large Language Models LLMs have achieved remarkable success across a wide range of applications. However, individual LLMs often produce inconsistent, biased, or hallucinated outputs due to limitations in their training corpora and model architectures. Recently, collaborative frameworks such as th...

NVIDIA TensorRT-LLM python executor code issue vulnerability

NVIDIA TensorRT-LLM is a high-performance inference acceleration library from NVIDIA for defining, optimizing, and executing inference in production environments for large language models LLMs. A code issue vulnerability exists in NVIDIA TensorRT-LLM that stems from insufficient data validation a...

xAI Dev Leaks API Key for Private SpaceX, Tesla LLMs

An employee at Elon Musk's artificial intelligence company xAI leaked a private key on GitHub that for the past two months could have allowed anyone to query private xAI large language models LLMs which appear to have been custom made for working with internal data from Musk's companies, includin...

Deserialization of Untrusted Data

Overview tensorrt-llm is a TensorRT-LLM: A TensorRT Toolbox for Large Language Models Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the ZeroMqQueue class in executor.py. An attacker can execute code, disclose information, and tamper with data by gaining...

CVE-2025-23254

NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering...

CVE-2025-23254

NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering...

CVE-2025-23254

NVIDIA TensorRT-LLM (TensorRT-LLM Python executor) contains a data-validation vulnerability that can be exploited with local access to the TRTLLM server to achieve code execution, information disclosure, and data tampering. The CVE-2025-23254 entries across NVD/CVE lists describe a Python-executo...

CVE-2025-23254

NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering...