abetlen llama-cpp-python up to 0.2.71 llama.py to_chat_handler equivalent special elements

Summaryinfo

A vulnerability identified as critical has been detected in abetlen llama-cpp-python up to 0.2.71. Affected is the function to_chat_handler of the file llama.py. The manipulation leads to improper neutralization of equivalent special elements. This vulnerability is uniquely identified as CVE-2024-34359. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in abetlen llama-cpp-python up to 0.2.71 and classified as critical. This issue affects the function to_chat_handler of the file llama.py. The manipulation with an unknown input leads to a improper neutralization of equivalent special elements vulnerability. Using CWE to declare the problem leads to CWE-76. The product correctly neutralizes certain special elements, but it improperly neutralizes equivalent special elements. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

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.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2024-34359 since 05/02/2024. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

• Programming Language Software

Vendor

• abetlen

Name

• llama-cpp-python

Version

• 0.2.0
• 0.2.1
• 0.2.2
• 0.2.3
• 0.2.4
• 0.2.5
• 0.2.6
• 0.2.7
• 0.2.8
• 0.2.9
• 0.2.10
• 0.2.11
• 0.2.12
• 0.2.13
• 0.2.14
• 0.2.15
• 0.2.16
• 0.2.17
• 0.2.18
• 0.2.19
• 0.2.20
• 0.2.21
• 0.2.22
• 0.2.23
• 0.2.24
• 0.2.25
• 0.2.26
• 0.2.27
• 0.2.28
• 0.2.29
• 0.2.30
• 0.2.31
• 0.2.32
• 0.2.33
• 0.2.34
• 0.2.35
• 0.2.36
• 0.2.37
• 0.2.38
• 0.2.39
• 0.2.40
• 0.2.41
• 0.2.42
• 0.2.43
• 0.2.44
• 0.2.45
• 0.2.46
• 0.2.47
• 0.2.48
• 0.2.49
• 0.2.50
• 0.2.51
• 0.2.52
• 0.2.53
• 0.2.54
• 0.2.55
• 0.2.56
• 0.2.57
• 0.2.58
• 0.2.59
• 0.2.60
• 0.2.61
• 0.2.62
• 0.2.63
• 0.2.64
• 0.2.65
• 0.2.66
• 0.2.67
• 0.2.68
• 0.2.69
• 0.2.70
• 0.2.71

Website

• Product: https://github.com/abetlen/llama-cpp-python/

CPE 2.3info

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CPE 2.2info

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