CVE-2024-39722

Ollama CVE-2024-39722 利用工具 该工具旨在利用 CVE-2024-39722，这是 Ollama 版本 = 0.1.45 中的一个模型存在性泄露漏洞。它允许用户检查 Ollama 服务器是否存在漏洞，并尝试发现服务器上存在的模型。此外，它还可以爬取 Ollama 官方模型库以生成用于测试的潜在模型列表。 漏洞详情 CVE ID: CVE-2024-39722 描述: Ollama 版本 = 0.1.45 存在模型存在性泄露漏洞。通过向 /api/push 端点发送特制请求，攻击者可以确定特定模型（包括不在公共库中的自定义模型）是否存在于服务器上。 受影响版本: =...

CVE-2026-72629

Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...

CVE-2026-72629 Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models

Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...

EUVD-2026-58289

Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...

CVE-2026-72629

Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...

PT-2026-71751

Name of the Vulnerable Software and Affected Versions Kibana affected versions not specified Description An authorization bypass occurs due to a user-controlled key, allowing unauthorized cross-space access because functionality is not properly constrained by Access Control Lists ACLs. This issue...

Unveiling the Landscape of LLM Deployment in the Wild: an Empirical Study

Background: Large language models LLMs are increasingly deployed via open-source and commercial frameworks, enabling individuals and organizations to self-host advanced AI capabilities. However, insecure defaults and misconfigurations often expose LLM services to the public Internet, posing...

CVE-2023-38421

The issue was addressed with improved checks. This issue is fixed in macOS Ventura 13.5, macOS Monterey 12.6.8. Processing a 3D model may result in disclosure of process memory...

CVE-2023-32368

An out-of-bounds read was addressed with improved input validation. This issue is fixed in watchOS 9.5, tvOS 16.5, macOS Ventura 13.4, macOS Monterey 12.6.6, iOS 16.5 and iPadOS 16.5. Processing a 3D model may result in disclosure of process memory...

CVE-2023-32368

An out-of-bounds read was addressed with improved input validation. This issue is fixed in watchOS 9.5, tvOS 16.5, macOS Ventura 13.4, macOS Monterey 12.6.6, iOS 16.5 and iPadOS 16.5. Processing a 3D model may result in disclosure of process memory...