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.

Impacted products
Name purl
pandasai

{
  "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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