10 matches found
CVE-2024-39722
Ollama CVE-2024-39722 Exploit Tool This tool is designed to exploit CVE-2024-39722, a model existence disclosure vulnerability in Ollama versions up to and including 0.1.45. It allows users to check if an Ollama server is vulnerable and attempt to discover existing models on the server...
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...