PT-2026-29577

Name of the Vulnerable Software and Affected Versions ONNX versions prior to 1.21.0 Description The ExternalDataInfo class in ONNX used Python’s setattr function to load metadata from ONNX model files without validating the keys. This allowed an attacker to craft a malicious model that could...

Open Neural Network Exchange 安全漏洞

Open Neural Network Exchange is an open-source ecosystem developed by Open Neural Network Exchange. It enables AI developers to choose the appropriate tools as the project evolves. Versions of Open Neural Network Exchange prior to 1.21.0 contained a security vulnerability. This vulnerability...

Incorrect Authorization

Overview openclaw is a 🦞 OpenClaw — Personal AI Assistant Affected versions of this package are vulnerable to Incorrect Authorization via the /v1/models HTTP endpoint, which does not enforce the required operator read scope. An attacker can access and enumerate model metadata by sending...

GHSA-68F8-9MHJ-H2MP OpenClaw has a Gateway HTTP /v1/models Route Bypasses Operator Read Scope

Fixed in OpenClaw 2026.3.24, the current shipping release. Summary The OpenAI-compatible HTTP endpoint /v1/models accepts bearer auth but does not enforce operator method scopes. In contrast, the WebSocket RPC path enforces operator.read for models.list. A caller connected with operator.approvals...

llama.cpp 安全漏洞

llama.cpp is a LLaMA model for inferring Meta in pure C/C++. A security vulnerability exists in llama.cpp that stems from code that can be executed remotely via server-side template injection in the model metadata...

GHSA-56XG-WFCC-G829 llama-cpp-python vulnerable to Remote Code Execution by Server-Side Template Injection in Model Metadata

Description llama-cpp-python depends on class Llama in llama.py to load .gguf llama.cpp or Latency Machine Learning Models. The init constructor built in the Llama takes several parameters to configure the loading and running of the model. Other than NUMA, LoRa settings, loading tokenizers, and...

llama-cpp-python vulnerable to Remote Code Execution by Server-Side Template Injection in Model Metadata

Description llama-cpp-python depends on class Llama in llama.py to load .gguf llama.cpp or Latency Machine Learning Models. The init constructor built in the Llama takes several parameters to configure the loading and running of the model. Other than NUMA, LoRa settings, loading tokenizers, and...

CVE-2024-34359 llama-cpp-python vulnerable to Remote Code Execution by Server-Side Template Injection in Model Metadata

llama-cpp-python is the Python bindings for llama.cpp. llama-cpp-python depends on class Llama in llama.py to load .gguf llama.cpp or Latency Machine Learning Models. The init constructor built in the Llama takes several parameters to configure the loading and running of the model. Other than NUM...

CVE-2024-34359 llama-cpp-python vulnerable to Remote Code Execution by Server-Side Template Injection in Model Metadata

llama-cpp-python is the Python bindings for llama.cpp. llama-cpp-python depends on class Llama in llama.py to load .gguf llama.cpp or Latency Machine Learning Models. The init constructor built in the Llama takes several parameters to configure the loading and running of the model. Other than NUM...