PYSEC-2026-446
Vulnerability from pysec - Published: 2026-06-29 11:50 - Updated: 2026-06-29 12:05
VLAI
Details
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.
Severity
9.8 (Critical)
Impacted products
| Name | purl | pandasai |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "pandasai"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "1.5.17"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.1",
"0.0.2",
"0.0.3",
"0.1.0",
"0.1.1",
"0.2.0",
"0.2.1",
"0.2.10",
"0.2.11",
"0.2.12",
"0.2.13",
"0.2.14",
"0.2.15",
"0.2.16",
"0.2.2",
"0.2.3",
"0.2.4",
"0.2.5",
"0.2.6",
"0.2.7",
"0.2.8",
"0.2.9",
"0.3.0",
"0.4.0",
"0.4.1",
"0.4.2",
"0.5.0",
"0.5.1",
"0.5.2",
"0.5.3",
"0.5.4",
"0.5.5",
"0.6.0",
"0.6.1",
"0.6.10",
"0.6.11",
"0.6.12",
"0.6.2",
"0.6.3",
"0.6.4",
"0.6.5",
"0.6.6",
"0.6.7",
"0.6.8",
"0.6.9",
"0.7.0",
"0.7.1",
"0.7.2",
"0.8.0",
"0.8.1",
"0.8.2",
"0.8.3",
"0.8.4",
"1.0",
"1.0.1",
"1.0.10",
"1.0.11",
"1.0.2",
"1.0.3",
"1.0.4",
"1.0.5",
"1.0.6",
"1.0.7",
"1.0.8",
"1.0.9",
"1.0a1",
"1.0a2",
"1.0b1",
"1.1",
"1.1.1",
"1.1.2",
"1.1.3",
"1.2",
"1.2.1",
"1.2.10",
"1.2.2",
"1.2.3",
"1.2.4",
"1.2.5",
"1.2.6",
"1.2.7",
"1.2.8",
"1.3",
"1.3.1",
"1.3.2",
"1.3.3",
"1.3b1",
"1.3b2",
"1.4",
"1.4.1",
"1.4.10",
"1.4.2",
"1.4.3",
"1.4.4",
"1.4.5",
"1.4.6",
"1.4.7",
"1.4.8",
"1.4.9",
"1.5.0",
"1.5.0a1",
"1.5.1",
"1.5.10",
"1.5.11",
"1.5.12",
"1.5.13",
"1.5.14",
"1.5.15",
"1.5.15a0",
"1.5.16",
"1.5.17",
"1.5.2",
"1.5.3",
"1.5.4",
"1.5.5",
"1.5.6",
"1.5.7",
"1.5.8",
"1.5.9",
"1.5a2"
]
}
],
"aliases": [
"CVE-2024-23752",
"GHSA-5g73-69p4-7gvx"
],
"details": "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.",
"id": "PYSEC-2026-446",
"modified": "2026-06-29T12:05:39.448249Z",
"published": "2026-06-29T11:50:41.468092Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-23752"
},
{
"type": "WEB",
"url": "https://github.com/gventuri/pandas-ai/issues/868"
},
{
"type": "PACKAGE",
"url": "https://github.com/gventuri/pandas-ai"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/pandasai"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-5g73-69p4-7gvx"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Code execution in pandasai"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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