Llama Cpp Python
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cpe:2.3:a:abetlen:llama-cpp-python:*:*:*:*:*:*:*:*
part: a version: * update: *
| Vendor | Abetlen (9c3adea2-2d0d-5278-81b4-562a3e1b96e9) |
|---|---|
| Product | Llama Cpp Python (6596b0e7-7251-5358-b7b3-811de477c477) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
| Notes | Imported from gcve-enriched-dumps CVE data |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
| No PURL mappings for this CPE yet. | ||
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2024-34359 |
vulnerable | 2026-06-03 14:55:53.924661 |
llama-cpp-python vulnerable to Remote Code Execution by Server-Side Template Injection in Model Metadata
CRITICAL (9.7)
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.
Published: 2024-05-10T17:07:18.850Z
Updated: 2024-08-02T02:51:10.739Z |
Imported from gcve-enriched-dumps CVE data |
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