PYSEC-2026-3611

Vulnerability from pysec - Published: 2026-08-04 11:34 - Updated: 2026-08-04 13:36
VLAI
Details

Impact

An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires loading images where the declared size values are much too large compared to the actual data.

Patches

This has been fixed in pypdf==6.14.0.

Workarounds

If you cannot upgrade yet, consider applying the changes from PR #3888.

Severity
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
Impacted products
Name purl
pypdf pkg:pypi/pypdf
Aliases
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pypdf",
        "purl": "pkg:pypi/pypdf"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "6.14.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.0",
        "1.1",
        "1.10",
        "1.11",
        "1.12",
        "1.13",
        "1.2",
        "1.3",
        "1.4",
        "1.5",
        "1.6",
        "1.7",
        "1.8",
        "1.9",
        "3.1.0",
        "3.10.0",
        "3.11.0",
        "3.11.1",
        "3.12.0",
        "3.12.1",
        "3.12.2",
        "3.13.0",
        "3.14.0",
        "3.15.0",
        "3.15.1",
        "3.15.2",
        "3.15.3",
        "3.15.4",
        "3.15.5",
        "3.16.0",
        "3.16.1",
        "3.16.2",
        "3.16.3",
        "3.16.4",
        "3.17.0",
        "3.17.1",
        "3.17.2",
        "3.17.3",
        "3.17.4",
        "3.2.0",
        "3.2.1",
        "3.3.0",
        "3.4.0",
        "3.4.1",
        "3.5.0",
        "3.5.1",
        "3.5.2",
        "3.6.0",
        "3.7.0",
        "3.7.1",
        "3.8.0",
        "3.8.1",
        "3.9.0",
        "3.9.1",
        "4.0.0",
        "4.0.1",
        "4.0.2",
        "4.1.0",
        "4.2.0",
        "4.3.0",
        "4.3.1",
        "5.0.0",
        "5.0.1",
        "5.1.0",
        "5.2.0",
        "5.3.0",
        "5.3.1",
        "5.4.0",
        "5.5.0",
        "5.6.0",
        "5.6.1",
        "5.7.0",
        "5.8.0",
        "5.9.0",
        "6.0.0",
        "6.1.0",
        "6.1.1",
        "6.1.2",
        "6.1.3",
        "6.10.0",
        "6.10.1",
        "6.10.2",
        "6.11.0",
        "6.12.0",
        "6.12.1",
        "6.12.2",
        "6.13.0",
        "6.13.1",
        "6.13.2",
        "6.13.3",
        "6.2.0",
        "6.3.0",
        "6.4.0",
        "6.4.1",
        "6.4.2",
        "6.5.0",
        "6.6.0",
        "6.6.1",
        "6.6.2",
        "6.7.0",
        "6.7.1",
        "6.7.2",
        "6.7.3",
        "6.7.4",
        "6.7.5",
        "6.8.0",
        "6.9.0",
        "6.9.1",
        "6.9.2"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-59938",
    "GHSA-5qjq-93h5-hrgp"
  ],
  "details": "### Impact\n\nAn attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires loading images where the declared size values are much too large compared to the actual data.\n\n### Patches\n\nThis has been fixed in [pypdf==6.14.0](https://github.com/py-pdf/pypdf/releases/tag/6.14.0).\n\n### Workarounds\n\nIf you cannot upgrade yet, consider applying the changes from PR [#3888](https://github.com/py-pdf/pypdf/pull/3888).",
  "id": "PYSEC-2026-3611",
  "modified": "2026-08-04T13:36:37.014036Z",
  "published": "2026-08-04T11:34:41.605981Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-5qjq-93h5-hrgp"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59938"
    },
    {
      "type": "WEB",
      "url": "https://github.com/py-pdf/pypdf/pull/3888"
    },
    {
      "type": "WEB",
      "url": "https://github.com/py-pdf/pypdf/commit/c64583be16b8e8763d8777075f8ecbf382014b7a"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/py-pdf/pypdf"
    },
    {
      "type": "WEB",
      "url": "https://github.com/py-pdf/pypdf/releases/tag/6.14.0"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/pypdf"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-5qjq-93h5-hrgp"
    }
  ],
  "severity": [
    {
      "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": "pypdf: Possible large memory usage for wrong image dimensions"
}



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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.


Detection rules are retrieved from Rulezet.