CVE-2024-34359: abetlen llama-cpp-python, инжекция

Описание

Оригинално описание

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.

Засегнати продукти

• abetlen llama-cpp-python: >= 0.2.30, <= 0.2.71

Вид слабост

• CWE-76 Неправилна неутрализация на еквивалентни специални елементи

История

Първоизточници

• https://www.cve.org/CVERecord?id=CVE-2024-34359
• https://nvd.nist.gov/vuln/detail/CVE-2024-34359
• https://github.com/abetlen/llama-cpp-python/security/advisories/GHSA-56xg-wfcc-g829
• https://github.com/abetlen/llama-cpp-python/commit/b454f40a9a1787b2b5659cd2cb00819d983185df