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SUSE-SU-2026:22626-1

Vulnerability from csaf_suse - Published: 2026-07-10 09:37 - Updated: 2026-09-16 20:03
Summary
Security update for python-Pillow
Severity
Important
Notes
Title of the patch: Security update for python-Pillow
Description of the patch: This update for python-Pillow fixes the following issues - CVE-2026-42311: malicious PSD file processing can lead to arbitrary code execution (bsc#1270404). - CVE-2026-54059: crafted PCF font data can cause excessive memory allocation (bsc#1270409). - CVE-2026-54060: fonts can trigger excessive memory allocation during conversion or saving (bsc#1270410). - CVE-2026-55379: bypass of decompression bomb protection allows excessive memory allocation (bsc#1270411). - CVE-2026-55380: crafted `.gd` file can trigger excessive C-heap allocation when loaded (bsc#1270412).
Patchnames: SUSE-SLES-16.0-1207
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
CVE-2026-42311
7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Affected products
Product Identifier Version Remediation
Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-Pillow-11.3.0-160000.6.1.aarch64 —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-Pillow-11.3.0-160000.6.1.ppc64le —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-Pillow-11.3.0-160000.6.1.s390x —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-Pillow-11.3.0-160000.6.1.x86_64 —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-Pillow-tk-11.3.0-160000.6.1.aarch64 —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-Pillow-tk-11.3.0-160000.6.1.ppc64le —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-Pillow-tk-11.3.0-160000.6.1.s390x —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-Pillow-tk-11.3.0-160000.6.1.x86_64 —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-11.3.0-160000.6.1.aarch64 —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-11.3.0-160000.6.1.ppc64le —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-11.3.0-160000.6.1.s390x —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-11.3.0-160000.6.1.x86_64 —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-tk-11.3.0-160000.6.1.aarch64 —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-tk-11.3.0-160000.6.1.ppc64le —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-tk-11.3.0-160000.6.1.s390x —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-tk-11.3.0-160000.6.1.x86_64 —
Vendor Fix
Threats
Impact important
CVE-2026-54059
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Affected products
Recommended 16 products, the same list as for CVE-2026-42311
Threats
Impact important
CVE-2026-54060
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Affected products
Recommended 16 products, the same list as for CVE-2026-42311
Threats
Impact important
CVE-2026-55379
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Affected products
Recommended 16 products, the same list as for CVE-2026-42311
Threats
Impact important
CVE-2026-55380
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Affected products
Recommended 16 products, the same list as for CVE-2026-42311
Threats
Impact important
References
To clipboard 

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          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "date": "2026-07-10T09:37:56Z",
          "details": "important"
        }
      ],
      "title": "CVE-2026-54060"
    },
    {
      "cve": "CVE-2026-55379",
      "ids": [
        {
          "system_name": "SUSE CVE Page",
          "text": "https://www.suse.com/security/cve/CVE-2026-55379"
        }
      ],
      "notes": [
        {
          "category": "general",
          "text": "Pillow is a Python imaging library. Prior to 12.3.0, PIL/BdfFontFile.py bdf_char() read the BBX width and height field from a BDF font file and passed attacker-controlled dimensions to Image.new() without calling Image._decompression_bomb_check(), bypassing Pillow\u0027s documented decompression bomb protection and allowing excessive memory allocation. This issue is fixed in version 12.3.0.",
          "title": "CVE description"
        }
      ],
      "product_status": {
        "recommended": [
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          "SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-tk-11.3.0-160000.6.1.ppc64le",
          "SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-tk-11.3.0-160000.6.1.s390x",
          "SUSE Linux Enterprise Server for SAP applications 16.0:python313-Pillow-tk-11.3.0-160000.6.1.x86_64"
        ]
      },
      "references": [
        {
          "category": "external",
          "summary": "CVE-2026-55379",
          "url": "https://www.suse.com/security/cve/CVE-2026-55379"
        },
        {
          "category": "external",
          "summary": "SUSE Bug 1270411 for CVE-2026-55379",
          "url": "https://bugzilla.suse.com/1270411"
        }
      ],
      "remediations": [
        {
          "category": "vendor_fix",
          "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n",
          "product_ids": [
            "SUSE Linux Enterprise Server 16.0:python313-Pillow-11.3.0-160000.6.1.aarch64",
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        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
          },
          "products": [
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          ]
        }
      ],
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        {
          "category": "impact",
          "date": "2026-07-10T09:37:56Z",
          "details": "important"
        }
      ],
      "title": "CVE-2026-55379"
    },
    {
      "cve": "CVE-2026-55380",
      "ids": [
        {
          "system_name": "SUSE CVE Page",
          "text": "https://www.suse.com/security/cve/CVE-2026-55380"
        }
      ],
      "notes": [
        {
          "category": "general",
          "text": "Pillow is a Python imaging library. Prior to 12.3.0, PIL/GdImageFile.py GdImageFile._open() read image dimensions from the GD 2.x header and stored them in self._size without calling Image._decompression_bomb_check(), allowing a crafted .gd file to trigger excessive C-heap allocation when loaded. This issue is fixed in version 12.3.0.",
          "title": "CVE description"
        }
      ],
      "product_status": {
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          "category": "external",
          "summary": "CVE-2026-55380",
          "url": "https://www.suse.com/security/cve/CVE-2026-55380"
        },
        {
          "category": "external",
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        }
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          },
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        {
          "category": "impact",
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          "details": "important"
        }
      ],
      "title": "CVE-2026-55380"
    }
  ]
}



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Tags
Taxonomy of the tags.





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.


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.