Описание
Langroid has a Code Injection vulnerability in LanceDocChatAgent through vector_store
Summary
LanceDocChatAgent uses pandas eval() through compute_from_docs():
https://github.com/langroid/langroid/blob/18667ec7e971efc242505196f6518eb19a0abc1c/langroid/vector_store/base.py#L136-L150
As a result, an attacker may be able to make the agent run malicious commands through QueryPlan.dataframe_calc compromising the host system.
Fix
Langroid 0.53.15 sanitizes input to the affected function by default to tackle the most common attack vectors, and added several warnings about the risky behavior in the project documentation.
Пакеты
langroid
< 0.53.15
0.53.15
Связанные уязвимости
Langroid is a Python framework to build large language model (LLM)-powered applications. Prior to version 0.53.15, `LanceDocChatAgent` uses pandas eval() through `compute_from_docs()`. As a result, an attacker may be able to make the agent run malicious commands through `QueryPlan.dataframe_calc]`) compromising the host system. Langroid 0.53.15 sanitizes input to the affected function by default to tackle the most common attack vectors, and added several warnings about the risky behavior in the project documentation.