PYSEC-2026-1870

Vulnerability from pysec - Published: 2026-07-07 14:34 - Updated: 2026-07-07 17:25
VLAI
Details

An arbitrary code execution vulnerability exists in versions 0.0.8 and newer of the Refuel Autolabel library because of the way its classification tasks handle provided CSV files. If a victim user creates a classification task using a maliciously crafted CSV file containing Python code, the code will be passed to an eval function which executes it.

Impacted products
Name purl
refuel-autolabel pkg:pypi/refuel-autolabel

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "refuel-autolabel",
        "purl": "pkg:pypi/refuel-autolabel"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.0.8"
            },
            {
              "last_affected": "0.0.16"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.10",
        "0.0.11",
        "0.0.12",
        "0.0.13",
        "0.0.14",
        "0.0.15",
        "0.0.16",
        "0.0.8",
        "0.0.9"
      ]
    }
  ],
  "aliases": [
    "CVE-2024-27320",
    "GHSA-g2m8-f3x2-qprw"
  ],
  "details": "An arbitrary code execution vulnerability exists in versions 0.0.8 and newer of the Refuel Autolabel library because of the way its classification tasks handle provided CSV files. If a victim user creates a classification task using a maliciously crafted CSV file containing Python code, the code will be passed to an eval function which executes it.",
  "id": "PYSEC-2026-1870",
  "modified": "2026-07-07T17:25:17.296896Z",
  "published": "2026-07-07T14:34:40.460948Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27320"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/refuel-ai/autolabel"
    },
    {
      "type": "WEB",
      "url": "https://github.com/refuel-ai/autolabel/blob/v0.0.16/src/autolabel/dataset/validation.py#L57-L79"
    },
    {
      "type": "WEB",
      "url": "https://hiddenlayer.com/sai-security-advisory/2024-09-autolabel"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/refuel-autolabel"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-g2m8-f3x2-qprw"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Refuel Autolab Eval Injection vulnerability"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…