Integer Overflow lead to DOS in handling Accept-Encoding header in API /v2/models/<model-name>/generate

This report is not public...

Proactively Detecting Threats: A Novel Approach Using LLMs

Enterprise security faces escalating threats from sophisticated malware, compounded by expanding digital operations. This paper presents the first systematic evaluation of large language models LLMs to proactively identify indicators of compromise IOCs from unstructured web-based threat...

PT-2026-3193

Name of the Vulnerable Software and Affected Versions AVEVA Process Optimization affected versions not specified Description A flaw exists that could allow an attacker to execute code remotely on the system with operating system level privileges through the taoimr service. Successful exploitation...

PT-2026-3195

Name of the Vulnerable Software and Affected Versions versions prior to 2025 affected versions not specified Description An authenticated user with standard operating system privileges could modify TCL Macro scripts. Successful exploitation may lead to privilege escalation to the operating system...

Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware

As zero-day Android malware attacks grow more sophisticated, recent research highlights the effectiveness of using image-based representations of malware bytecode to detect previously unseen threats. However, existing studies often overlook how image type and resolution affect detection and ignor...

Microsoft Inbox COM Objects 资源管理错误漏洞

Microsoft Inbox COM Objects is a built-in COM component for the Windows operating system from Microsoft Corporation USA. A resource management error vulnerability exists in Microsoft Inbox COM Objects. An attacker can exploit this vulnerability to remotely execute code...

A Decompilation-Driven Framework for Malware Detection with Large Language Models

The parallel evolution of Large Language Models LLMs with advanced code-understanding capabilities and the increasing sophistication of malware presents a new frontier for cybersecurity research. This paper evaluates the efficacy of state-of-the-art LLMs in classifying executable code as either...

Mozilla Firefox和Mozilla Firefox ESR 安全漏洞

Mozilla Firefox is an open source web browser from the Mozilla Foundation.Mozilla Firefox ESR is an extended support version of Firefox web browser from the Mozilla Foundation.Mozilla Thunderbird is a suite of e-mail client software from the Mozilla Foundation that is separate from the Mozilla...

CVE-2024-58340

LangChain

CVE-2025-15514 Ollama Multi-Modal Model Image Processing NULL Pointer Dereference

Ollama 0.11.5-rc0 through current version 0.13.5 contain a null pointer dereference vulnerability in the multi-modal model image processing functionality. When processing base64-encoded image data via the /api/chat endpoint, the application fails to validate that the decoded data represents valid...

aiptx-cyber-mcp

Cyber MCPs - Security Tools for AI !MCP Securityhttps://...

Corrupting LLMs Through Weird Generalizations

Fascinating research: Weird Generalization and Inductive Backdoors: New Ways to Corrupt LLMs. Abstract LLMs are useful because they generalize so well. But can you have too much of a good thing? We show that a small amount of finetuning in narrow contexts can dramatically shift behavior outside...

CVE-2025-69275 Spectrum outdated java library in class-path

Dependency on Vulnerable Third-Party Component vulnerability in Broadcom DX NetOps Spectrum on Windows, Linux allows DOM-Based XSS.This issue affects DX NetOps Spectrum: 24.3.9 and earlier...

opencode 安全漏洞

opencode is an AI programming intelligence open-sourced by Anomaly. A security vulnerability exists in versions prior to opencode 1.1.10, which stems from the Markdown renderer not cleaning up the LLM response, and could lead to the execution of JavaScript via HTML injection...

📄 LibreChat MCP Remote Command Execution

LibreChat's Model Context Protocol MCP implementation contained a remote command execution vulnerability that allowed any authenticated user to execute commands as root on the Docker container. A single API request could trigger the exploit by taking advantage of the exposure of the stdio transpo...

Allocation of Resources Without Limits or Throttling

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling in the processimageinput in the idefics3 model implementation. An attacker can cause the server...

PYSEC-2026-143

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...

PYSEC-2026-143

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...

CVE-2026-22773

CVE-2026-22773 affects vLLM (inference/serving engine) versions 0.6.4 through before 0.12.0 that serve multimodal models using the Idefics3 vision model. A crafted 1x1 pixel image triggers a tensor dimension mismatch in the image input processing, causing an unhandled runtime error and enabling a...

CVE-2026-22773 vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...