{"resultsPerPage":1,"startIndex":0,"totalResults":1,"format":"NVD_CVE","version":"2.0","timestamp":"2026-04-20T23:48:14.125","vulnerabilities":[{"cve":{"id":"CVE-2024-34359","sourceIdentifier":"security-advisories@github.com","published":"2024-05-14T15:38:45.093","lastModified":"2026-04-15T00:35:42.020","vulnStatus":"Deferred","cveTags":[],"descriptions":[{"lang":"en","value":"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."},{"lang":"es","value":"llama-cpp-python son los enlaces de Python para llama.cpp. `llama-cpp-python` depende de la clase `Llama` en `llama.py` para cargar `.gguf` llama.cpp o modelos de aprendizaje automático de latencia. El constructor `__init__` integrado en `Llama` toma varios parámetros para configurar la carga y ejecución del modelo. Además de `NUMA, configuración de LoRa`, `carga de tokenizadores` y `configuración de hardware`, `__init__` también carga la `plantilla de chat` desde los metadatos `.gguf` específicos y además la analiza en `llama_chat_format.Jinja2ChatFormatter.to_chat_handler ()` para construir el `self.chat_handler` para este modelo. Sin embargo, `Jinja2ChatFormatter` analiza la `plantilla de chat` dentro del Metadate con `jinja2.Environment` sin zona de pruebas, que además se representa en `__call__` para construir el `mensaje` de interacción. Esto permite la inyección de plantilla del lado del servidor `jinja2`, lo que conduce a la ejecución remota de código mediante un payload cuidadosamente construida."}],"metrics":{"cvssMetricV31":[{"source":"security-advisories@github.com","type":"Secondary","cvssData":{"version":"3.1","vectorString":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","baseScore":9.6,"baseSeverity":"CRITICAL","attackVector":"NETWORK","attackComplexity":"LOW","privilegesRequired":"NONE","userInteraction":"REQUIRED","scope":"CHANGED","confidentialityImpact":"HIGH","integrityImpact":"HIGH","availabilityImpact":"HIGH"},"exploitabilityScore":2.8,"impactScore":6.0}]},"weaknesses":[{"source":"security-advisories@github.com","type":"Secondary","description":[{"lang":"en","value":"CWE-76"}]}],"references":[{"url":"https://github.com/abetlen/llama-cpp-python/commit/b454f40a9a1787b2b5659cd2cb00819d983185df","source":"security-advisories@github.com"},{"url":"https://github.com/abetlen/llama-cpp-python/security/advisories/GHSA-56xg-wfcc-g829","source":"security-advisories@github.com"},{"url":"https://github.com/abetlen/llama-cpp-python/commit/b454f40a9a1787b2b5659cd2cb00819d983185df","source":"af854a3a-2127-422b-91ae-364da2661108"},{"url":"https://github.com/abetlen/llama-cpp-python/security/advisories/GHSA-56xg-wfcc-g829","source":"af854a3a-2127-422b-91ae-364da2661108"}]}}]}