CVE-2024-39722

Ollama CVE-2024-39722 익스플로잇 도구 이 도구는 Ollama 버전 0.1.45 이하에서 발생하는 모델 존재 여부 노출 취약점인 CVE-2024-39722를 익스플로잇하기 위해 설계되었습니다. 사용자는 Ollama 서버가 취약한지 확인하고 서버에 존재하는 모델을 발견하려 시도할 수 있습니다. 또한 공식 Ollama 모델 라이브러리를 크롤링하여 테스트할 잠재적 모델 목록을 생성할 수 있습니다. 中文 취약점 세부 정보 CVE ID: CVE-2024-39722 설명: Ollama 버전 0.1.45 이하는 모델 존재 ...

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...

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...

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...

PT-2026-71751

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...

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...