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LLMHigh

CVE-2024-34359: llama-cpp-python is the Python bindings for llama.cpp. `llama-cpp-python` depends on class `Llama` i…

Occurred
May 14, 2024
Published
May 14, 2024
Source
NVD CVE

Summary

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 `NUMA, LoRa settings`, `loading tokenizers,` and `hardware settings`, `__init__` also loads the `chat template` from targeted `.gguf` 's Metadata and furtherly parses it to `llama_chat_format.Jinja2ChatFormatter.to_chat_handler()` to construct the `self.chat_handler` for this model. Nevertheless, `Jinja2ChatFormatter` parse the `chat template` within the Metadate with sandbox-less `jinja2.Environment`, which is furthermore rendered in `__call__` to construct the `prompt` of interaction. This allows `jinja2` Server Side Template Injection which leads to remote code execution by a carefully constructed payload.

Tags

  • CVE
  • CVE-2024-34359
  • cvss:CRITICAL

Classification

Category confidence: 95%
Severity confidence: 90%

Rationale: CVE describes a Server Side Template Injection vulnerability in LLM library enabling remote code execution.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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