CVE-2025-46725

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.

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.

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.

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.

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.

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.

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.