Vulnerability · Published May 20, 2025 · Assigned by GitHub_M

CVE-2025-46725Langroid has a Code Injection vulnerability in LanceDocChatAgent through vector_store

High 8.1

In plain English

A high-severity code injection in langroid from langroid. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 45% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 4.0)8.1High
Exploit odds (30 days)0.5%top 54.7% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPIlangroid0.53.15GHSA-22c2-9gwg-mj59
PyPIlangroid0.53.15PYSEC-2026-1531

Affected products (as reported)

VendorProductVersions
langroid langroid < 0.53.15

Weakness: CWE-94 · Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:U

References