peter bassill · operator
$ cve CVE-2024-34359 JSON

CVE-2024-34359

9.6
CRITICAL · CVSS 3.1 · EPSS 26% (pctl 98)

Patch early

EPSS 26% — above the 10% action threshold.

Description

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.

Scoring

CVSS9.6 (CRITICAL, v3.1)
VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
EPSS26% — more likely to be exploited than 98% of all CVEs
WeaknessCWE-76
On CISA KEVno
Public exploitnone known
Published2024-05-14
Last modified2026-06-17

References

→ the Explorer  ·  watch your stack  ·  NVD