GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CVE-2026-59198 (GCVE-0-2026-59198)

Vulnerability from cvelistv5 – Published: 2026-07-14 16:07 – Updated: 2026-07-14 19:55
VLAI
Title
Pillow TGA RLE encoder can serialize up to ~57 KB of adjacent heap data into generated images
Summary
Pillow is a Python imaging library. From 5.2.0 until 12.3.0, Pillow's TGA RLE encoder reads past its packed row buffer when saving a mode 1 image with TGA RLE compression, allowing adjacent process heap bytes to be copied into the generated TGA file. This issue is fixed in version 12.3.0.
Severity
6.5 (Medium)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:L
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-14 19:44 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
python-pillow Pillow Affected: >= 5.2.0, < 12.3.0
guessed Create a notification for this product.
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-59198",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-07-14T19:44:23.310384Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-07-14T19:55:56.380Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
              "exploit"
            ],
            "url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "Pillow",
          "vendor": "python-pillow",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 5.2.0, \u003c 12.3.0"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Pillow is a Python imaging library. From 5.2.0 until 12.3.0, Pillow\u0027s TGA RLE encoder reads past its packed row buffer when saving a mode 1 image with TGA RLE compression, allowing adjacent process heap bytes to be copied into the generated TGA file. This issue is fixed in version 12.3.0."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 6.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:L",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-125",
              "description": "CWE-125: Out-of-bounds Read",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-07-14T16:07:56.562Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq"
        },
        {
          "name": "https://github.com/python-pillow/Pillow/pull/9709",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/python-pillow/Pillow/pull/9709"
        },
        {
          "name": "https://github.com/python-pillow/Pillow/commit/eada3cbd7fb9963ee90673fb7b5270124a0d5f4b",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/python-pillow/Pillow/commit/eada3cbd7fb9963ee90673fb7b5270124a0d5f4b"
        },
        {
          "name": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
        }
      ],
      "source": {
        "advisory": "GHSA-fj7v-r99m-22gq",
        "discovery": "UNKNOWN"
      },
      "title": "Pillow TGA RLE encoder can serialize up to ~57 KB of adjacent heap data into generated images"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-59198",
    "datePublished": "2026-07-14T16:07:56.562Z",
    "dateReserved": "2026-07-02T19:53:48.831Z",
    "dateUpdated": "2026-07-14T19:55:56.380Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-59198",
      "date": "2026-09-16",
      "epss": "0.00325",
      "percentile": "0.25556"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2026-59198\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-07-14T16:17:01.797\",\"lastModified\":\"2026-07-14T20:18:43.410\",\"vulnStatus\":\"Analyzed\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Pillow is a Python imaging library. From 5.2.0 until 12.3.0, Pillow\u0027s TGA RLE encoder reads past its packed row buffer when saving a mode 1 image with TGA RLE compression, allowing adjacent process heap bytes to be copied into the generated TGA file. This issue is fixed in version 12.3.0.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"python-pillow\",\"product\":\"Pillow\",\"versions\":[{\"version\":\"\u003e= 5.2.0, \u003c 12.3.0\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:L\",\"baseScore\":6.5,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"LOW\"},\"exploitabilityScore\":2.2,\"impactScore\":4.2},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":3.9,\"impactScore\":3.6}],\"ssvcV203\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"ssvcData\":{\"timestamp\":\"2026-07-14T19:44:23.310384Z\",\"id\":\"CVE-2026-59198\",\"options\":[{\"exploitation\":\"poc\"},{\"automatable\":\"no\"},{\"technicalImpact\":\"partial\"}],\"role\":\"CISA Coordinator\",\"version\":\"2.0.3\"}}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-125\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:python:pillow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"5.2.0\",\"versionEndExcluding\":\"12.3.0\",\"matchCriteriaId\":\"71FC37FA-5F2C-493F-B29E-6FEFAF36680F\"}]}]}],\"references\":[{\"url\":\"https://github.com/python-pillow/Pillow/commit/eada3cbd7fb9963ee90673fb7b5270124a0d5f4b\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Patch\"]},{\"url\":\"https://github.com/python-pillow/Pillow/pull/9709\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Issue Tracking\",\"Patch\"]},{\"url\":\"https://github.com/python-pillow/Pillow/releases/tag/12.3.0\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Release Notes\"]},{\"url\":\"https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Exploit\",\"Vendor Advisory\"]},{\"url\":\"https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq\",\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"tags\":[\"Exploit\",\"Vendor Advisory\"]}]}}",
    "redhat_vex": {
      "aggregate_severity": "Moderate",
      "current_release_date": "2026-07-21T09:42:17+00:00",
      "cve": "CVE-2026-59198",
      "id": "CVE-2026-59198",
      "initial_release_date": "2026-07-14T16:07:56.562000+00:00",
      "product_status:known_affected": "69",
      "product_status:under_investigation": "22",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Pillow: Pillow: Information disclosure via TGA RLE encoder out-of-bounds read",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-59198.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "moderate",
      "current_release_date": "2026-08-11T00:03:11Z",
      "cve": "CVE-2026-59198",
      "id": "CVE-2026-59198",
      "initial_release_date": "2026-07-15T18:48:16Z",
      "product_status:first_fixed": "4",
      "product_status:recommended": "37",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2026-59198",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-59198.json",
      "version": "5"
    },
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2026-59198\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"poc\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2026-07-14T19:44:23.310384Z\"}}}], \"references\": [{\"url\": \"https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq\", \"tags\": [\"exploit\"]}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2026-07-14T19:44:53.117Z\"}}], \"cna\": {\"title\": \"Pillow TGA RLE encoder can serialize up to ~57 KB of adjacent heap data into generated images\", \"source\": {\"advisory\": \"GHSA-fj7v-r99m-22gq\", \"discovery\": \"UNKNOWN\"}, \"metrics\": [{\"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 6.5, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"MEDIUM\", \"vectorString\": \"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:L\", \"integrityImpact\": \"NONE\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"HIGH\", \"availabilityImpact\": \"LOW\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"HIGH\"}}], \"affected\": [{\"vendor\": \"python-pillow\", \"product\": \"Pillow\", \"versions\": [{\"status\": \"affected\", \"version\": \"\u003e= 5.2.0, \u003c 12.3.0\"}]}], \"references\": [{\"url\": \"https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq\", \"name\": \"https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq\", \"tags\": [\"x_refsource_CONFIRM\"]}, {\"url\": \"https://github.com/python-pillow/Pillow/pull/9709\", \"name\": \"https://github.com/python-pillow/Pillow/pull/9709\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/python-pillow/Pillow/commit/eada3cbd7fb9963ee90673fb7b5270124a0d5f4b\", \"name\": \"https://github.com/python-pillow/Pillow/commit/eada3cbd7fb9963ee90673fb7b5270124a0d5f4b\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/python-pillow/Pillow/releases/tag/12.3.0\", \"name\": \"https://github.com/python-pillow/Pillow/releases/tag/12.3.0\", \"tags\": [\"x_refsource_MISC\"]}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"Pillow is a Python imaging library. From 5.2.0 until 12.3.0, Pillow\u0027s TGA RLE encoder reads past its packed row buffer when saving a mode 1 image with TGA RLE compression, allowing adjacent process heap bytes to be copied into the generated TGA file. This issue is fixed in version 12.3.0.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-125\", \"description\": \"CWE-125: Out-of-bounds Read\"}]}], \"providerMetadata\": {\"orgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"shortName\": \"GitHub_M\", \"dateUpdated\": \"2026-07-14T16:07:56.562Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2026-59198\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-07-14T19:55:56.380Z\", \"dateReserved\": \"2026-07-02T19:53:48.831Z\", \"assignerOrgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"datePublished\": \"2026-07-14T16:07:56.562Z\", \"assignerShortName\": \"GitHub_M\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



Log in or create an account to share your comment.




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.