Vulnerability-Lookup

BREW-AIDER-GHSA-4FX9-VC88-Q2XC (GHSA-4FX9-VC88-Q2XC)

Vulnerability from osv_homebrew – Published: 2026-08-13 16:35 – Updated: 2026-08-13 16:35 – Source website

Summary

Infinite loop in Pillow

Details

JpegImagePlugin may append an EOF marker to the end of a truncated file, so that the last segment of the data will still be processed by the decoder.

If the EOF marker is not detected as such however, this could lead to an infinite loop where JpegImagePlugin keeps trying to end the file.

References

URL

Type

	https://github.com/python-pillow/Pillow/commit/ba…	WEB
	https://github.com/python-pillow/Pillow	PACKAGE
	https://pillow.readthedocs.io/en/stable/releaseno…	WEB

JSON

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{
  "affected": [
    {
      "ecosystem_specific": {
        "fix": "bump",
        "range_state": "fixed",
        "resource": "pillow",
        "resource_purl": "pkg:pypi/pillow@12.1.1",
        "upstream_fixed_in": "9.0.0"
      },
      "package": {
        "ecosystem": "Homebrew",
        "name": "aider",
        "purl": "pkg:brew/aider"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.86.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "confidence": "high",
    "source": "matched",
    "strategy": "registry",
    "upstream_evidence": [
      {
        "ecosystem": "PyPI",
        "key": "pkg:pypi/pillow@12.1.1",
        "name": "pillow",
        "resource": "pillow",
        "strategy": "registry",
        "subject_version": "12.1.1"
      }
    ]
  },
  "details": "JpegImagePlugin may append an EOF marker to the end of a truncated file, so that the last segment of the data will still be processed by the decoder.\n\nIf the EOF marker is not detected as such however, this could lead to an infinite loop where JpegImagePlugin keeps trying to end the file.",
  "id": "BREW-aider-GHSA-4fx9-vc88-q2xc",
  "modified": "2026-08-13T16:35:12Z",
  "published": "2026-08-13T16:35:12Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/python-pillow/Pillow/commit/baae9ec4b67c68e3adaf1208cf54e8de5e38a6fd"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/python-pillow/Pillow"
    },
    {
      "type": "WEB",
      "url": "https://pillow.readthedocs.io/en/stable/releasenotes/9.0.0.html#ensure-jpegimageplugin-stops-at-the-end-of-a-truncated-file"
    }
  ],
  "schema_version": "1.7.3",
  "summary": "Infinite loop in Pillow",
  "upstream": [
    "GHSA-4fx9-vc88-q2xc"
  ]
}

GHSA-4FX9-VC88-Q2XC

Vulnerability from github – Published: 2022-03-11 23:39 – Updated: 2022-03-11 23:39

Summary

Infinite loop in Pillow

Details

JpegImagePlugin may append an EOF marker to the end of a truncated file, so that the last segment of the data will still be processed by the decoder.

If the EOF marker is not detected as such however, this could lead to an infinite loop where JpegImagePlugin keeps trying to end the file.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "Pillow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "9.0.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-03-11T23:39:27Z",
    "nvd_published_at": null,
    "severity": "LOW"
  },
  "details": "JpegImagePlugin may append an EOF marker to the end of a truncated file, so that the last segment of the data will still be processed by the decoder.\n\nIf the EOF marker is not detected as such however, this could lead to an infinite loop where JpegImagePlugin keeps trying to end the file.",
  "id": "GHSA-4fx9-vc88-q2xc",
  "modified": "2022-03-11T23:39:27Z",
  "published": "2022-03-11T23:39:27Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/python-pillow/Pillow/commit/baae9ec4b67c68e3adaf1208cf54e8de5e38a6fd"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/python-pillow/Pillow"
    },
    {
      "type": "WEB",
      "url": "https://pillow.readthedocs.io/en/stable/releasenotes/9.0.0.html#ensure-jpegimageplugin-stops-at-the-end-of-a-truncated-file"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [],
  "summary": "Infinite loop in Pillow"
}

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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.