| Advisory ID | pypa/pandasai/PYSEC-2026-446 |
| Aliases |
CVE-2024-23752
GHSA-5g73-69p4-7gvx PYSEC-2026-446 |
| Summary | Code execution in 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. |
| Status | Published |
| Exploitability | 0.5 |
| Weighted Severity | 8.8 |
| Risk | 4.4 |
| Affected and Fixed Packages | Package Details |
| Introduced and Fixed Package Commit Patches | Package Commit Patches Details |
| There are no known CWE. |
| System | Score | Found at |
|---|---|---|
| cvssv3.1 | 9.8 | https://github.com/pypa/advisory-database/blob/main/vulns/pandasai/PYSEC-2026-446.yaml |
| Reference id | Reference type | URL |
|---|---|---|
| https://github.com/gventuri/pandas-ai | ||
| https://github.com/gventuri/pandas-ai/issues/868 | ||
| https://pypi.org/project/pandasai | ||
| CVE-2024-23752 | https://nvd.nist.gov/vuln/detail/CVE-2024-23752 | |
| GHSA-5g73-69p4-7gvx | https://github.com/advisories/GHSA-5g73-69p4-7gvx |
No EPSS data available for this advisory.
| Patch URL | |
|---|---|
| There are no known patches. | |
| Attack Vector (AV) | Attack Complexity (AC) | Privileges Required (PR) | User Interaction (UI) | Scope (S) | Confidentiality Impact (C) | Integrity Impact (I) | Availability Impact (A) |
|---|---|---|---|---|---|---|---|
network adjacent_network local physical |
low high |
none low high |
none required |
unchanged changed |
high low none |
high low none |
high low none |
Vector: SSVCv2/E:P/A:Y/T:T/P:M/B:A/M:M/D:R/2025-05-08T15:59:19Z/
Decision: Track*
Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2024/23xxx/CVE-2024-23752.json
Source Advisory: vulnrichment/CVE-2024-23752
[{'Exploitation': 'poc'},
{'Automatable': 'yes'},
{'Technical Impact': 'total'},
{'Mission Prevalence': 'minimal'},
{'Public Well-being Impact': 'material'},
{'Mission & Well-being': 'medium'}]