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Vulnerability record · CVE-2024-23752 · published 22 January 2024

CVE-2024-23752: Gabrieleventuri pandasai missing authorization vulnerability

GGabrieleventuri · Pandasai

GenerateSDFPipeline in synthetic_dataframe in PandasAI (aka pandas-ai) through 1.5.17 allows attackers to trigger the generation of arbitrary Python code that is executed by SDFCodeExecutor. An attacker can create a dataframe that provides an English language specification of this Python code. NOTE: the vendor previously attempted to restrict code execution in response to a separate issue, CVE-2023-39660.

9.8 CVSS 3.1 Critical EPSS 1.0% · top 38.2% CWE-862 · Missing authorization
9.8CVSS 3.1 base score
1.0%EPSS exploitation probability, 30 days
NoNot in CISA KEV
1Affected product versions listed by NVD
2References, 2 tagged exploit
17 Jun 2026Last modified by NVD

Description

GenerateSDFPipeline in synthetic_dataframe in PandasAI (aka pandas-ai) through 1.5.17 allows attackers to trigger the generation of arbitrary Python code that is executed by SDFCodeExecutor. An attacker can create a dataframe that provides an English language specification of this Python code. NOTE: the vendor previously attempted to restrict code execution in response to a separate issue, CVE-2023-39660.

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Affected products

1 vulnerable configurations from NVD's CPE data, grouped by vendor and product.

References

LinkTags
https://github.com/gventuri/pandas-ai/issues/868 ExploitMailing ListVendor Advisory
https://github.com/gventuri/pandas-ai/issues/868 ExploitMailing ListVendor Advisory

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Related vulnerabilities

Same products first, then exploited flaws of the same weakness class.

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Source: NIST National Vulnerability Database (record CVE-2024-23752), CISA KEV, FIRST EPSS (scores of 2026-09-28). This page is refreshed as NVD updates the record.