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2 vulnerabilities found for llama-cpp-python by abetlen

CVE-2024-34359 (GCVE-0-2024-34359)

Vulnerability from cvelistv5 – Published: 2024-05-10 17:07 – Updated: 2024-08-02 02:51
VLAI?
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.
Severity ?
9.7 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
CWE
  • CWE-76 - Improper Neutralization of Equivalent Special Elements
Assigner
References
Impacted products
Vendor Product Version
abetlen llama-cpp-python Affected: >= 0.2.30, <= 0.2.71
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Show details on NVD website
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CVE-2024-34359 (GCVE-0-2024-34359)

Vulnerability from nvd – Published: 2024-05-10 17:07 – Updated: 2024-08-02 02:51
VLAI?
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.
Severity ?
9.7 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
CWE
  • CWE-76 - Improper Neutralization of Equivalent Special Elements
Assigner
References
Impacted products
Vendor Product Version
abetlen llama-cpp-python Affected: >= 0.2.30, <= 0.2.71
Create a notification for this product.
Show details on NVD website
To clipboard 

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