GHSA-QXRV-GP6X-RC23

Vulnerability from github – Published: 2024-07-22 17:42 – Updated: 2024-09-11 16:08
VLAI?
Summary
SixLabors ImageSharp has Excessive Memory Allocation in Gif Decoder
Details

Impact

What kind of vulnerability is it? Who is impacted?

A vulnerability discovered in the ImageSharp library, where the processing of specially crafted files can lead to excessive memory usage in the Gif decoder. The vulnerability is triggered when ImageSharp attempts to process image files that are designed to exploit this flaw.

Patches

Has the problem been patched? What versions should users upgrade to?

The problem has been patched. All users are advised to upgrade to v3.1.5 or v2.1.9.

Workarounds

Is there a way for users to fix or remediate the vulnerability without upgrading?

Before calling Image.Decode(Async), use Image.Identify to determine the image dimensions in order to enforce a limit.

References

Are there any links users can visit to find out more? - https://github.com/SixLabors/ImageSharp/pull/2759 - https://github.com/SixLabors/ImageSharp/pull/2764 - https://github.com/SixLabors/ImageSharp/pull/2770 - ImageSharp: Security Considerations - ImageSharp.Web: Securing Processing Commands

Severity ?
5.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
6.9 (Medium)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
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{
  "affected": [
    {
      "package": {
        "ecosystem": "NuGet",
        "name": "SixLabors.ImageSharp"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.9"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "NuGet",
        "name": "SixLabors.ImageSharp"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.0.0"
            },
            {
              "fixed": "3.1.5"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-41132"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-770",
      "CWE-789"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-07-22T17:42:33Z",
    "nvd_published_at": "2024-07-22T15:15:04Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\n_What kind of vulnerability is it? Who is impacted?_\n\nA vulnerability discovered in the ImageSharp library, where the processing of specially crafted files can lead to excessive memory usage in the Gif decoder. The vulnerability is triggered when ImageSharp attempts to process image files that are designed to exploit this flaw.\n\n### Patches\n_Has the problem been patched? What versions should users upgrade to?_\n\nThe problem has been patched. All users are advised to upgrade to v3.1.5 or v2.1.9.\n\n### Workarounds\n_Is there a way for users to fix or remediate the vulnerability without upgrading?_\n\nBefore calling `Image.Decode(Async)`, use `Image.Identify` to determine the image dimensions in order to enforce a limit.\n\n### References\n_Are there any links users can visit to find out more?_\n- https://github.com/SixLabors/ImageSharp/pull/2759\n- https://github.com/SixLabors/ImageSharp/pull/2764\n- https://github.com/SixLabors/ImageSharp/pull/2770\n- ImageSharp: [Security Considerations](https://docs.sixlabors.com/articles/imagesharp/security.html)\n- ImageSharp.Web: [Securing Processing Commands](https://docs.sixlabors.com/articles/imagesharp.web/processingcommands.html#securing-processing-commands)",
  "id": "GHSA-qxrv-gp6x-rc23",
  "modified": "2024-09-11T16:08:19Z",
  "published": "2024-07-22T17:42:33Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/security/advisories/GHSA-qxrv-gp6x-rc23"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-41132"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/pull/2759"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/pull/2764"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/pull/2770"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/commit/59de13c8cc47f2b402e2c43aa7024511d029d515"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/commit/9816ca45016c5d3859986f3c600e8934bc450a56"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/commit/b496109051cc39feee1f6cde48fca6481de17f9a"
    },
    {
      "type": "WEB",
      "url": "https://docs.sixlabors.com/articles/imagesharp.web/processingcommands.html#securing-processing-commands"
    },
    {
      "type": "WEB",
      "url": "https://docs.sixlabors.com/articles/imagesharp/security.html"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/SixLabors/ImageSharp"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "SixLabors ImageSharp has Excessive Memory Allocation in Gif Decoder"
}


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Sightings

Author Source Type Date

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.