Vulnerability-Lookup

GHSA-F4CH-VXWC-3P2M

Vulnerability from github – Published: 2026-10-06 00:32 – Updated: 2026-10-06 13:43

Withdrawn 2026-10-06

Summary

Duplicate Advisory: Docling: METS-GBS archive member limit enforced after full member enumeration (memory exhaustion during format detection)

Details

Duplicate Advisory

This advisory has been withdrawn because it is a duplicate of GHSA-3cr3-8m4c-fpxw. This link is maintained to preserve external references.

Original Description

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.45.0 until 2.131.0, METS-GBS format detection in docling/datamodel/document.py and the backend in docling/backend/mets_gbs_backend.py call tarfile.TarFile.getmembers() before enforcing the max_member_count limit, causing the full archive member list to be allocated before the limit can stop processing. A small gzip-compressed tar archive with a very large number of empty members can therefore consume memory proportional to the declared member count, including during format detection before the allowed_formats restriction is applied. This issue is a residual weakness in the member-count protection added for CVE-2026-44018. This issue is fixed in 2.131.0.

Severity

4.3 (Medium)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "docling"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.45.0"
            },
            {
              "fixed": "2.131.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-409"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-10-06T13:43:11Z",
    "nvd_published_at": "2026-10-05T22:16:57Z",
    "severity": "MODERATE"
  },
  "details": "## Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of\u00a0GHSA-3cr3-8m4c-fpxw. This link is maintained to preserve external references.\n\n## Original Description\nDocling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.45.0 until 2.131.0, METS-GBS format detection in docling/datamodel/document.py and the backend in docling/backend/mets_gbs_backend.py call tarfile.TarFile.getmembers() before enforcing the max_member_count limit, causing the full archive member list to be allocated before the limit can stop processing. A small gzip-compressed tar archive with a very large number of empty members can therefore consume memory proportional to the declared member count, including during format detection before the allowed_formats restriction is applied. This issue is a residual weakness in the member-count protection added for CVE-2026-44018. This issue is fixed in 2.131.0.",
  "id": "GHSA-f4ch-vxwc-3p2m",
  "modified": "2026-10-06T13:43:11Z",
  "published": "2026-10-06T00:32:49Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/docling-project/docling/security/advisories/GHSA-3cr3-8m4c-fpxw"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-105747"
    },
    {
      "type": "WEB",
      "url": "https://github.com/docling-project/docling/pull/4412"
    },
    {
      "type": "WEB",
      "url": "https://github.com/docling-project/docling/commit/ebae65cd71c37c88b36185b406a449b92d8f7ffa"
    },
    {
      "type": "WEB",
      "url": "https://github.com/docling-project/docling/releases/tag/v2.131.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Duplicate Advisory:  Docling: METS-GBS archive member limit enforced after full member enumeration (memory exhaustion during format detection)",
  "withdrawn": "2026-10-06T13:43:11Z"
}

CVE-2026-105747 (GCVE-0-2026-105747)

Vulnerability from cvelistv5 – Published: 2026-10-05 21:32 – Updated: 2026-10-06 14:48

Title

Docling: METS-GBS archive member limit enforced after full member enumeration (memory exhaustion during format detection)

Summary

Severity

4.3 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-10-06 14:34 UTC

CWE

CWE-409 - Improper Handling of Highly Compressed Data (Data Amplification)
CWE-770 - Allocation of Resources Without Limits or Throttling

Assigner

GitHub_M mitre root Scorecard

References

4 references

URL	Tags
https://github.com/docling-project/docling/securi…	x_refsource_CONFIRM
https://github.com/docling-project/docling/pull/4412	x_refsource_MISC
https://github.com/docling-project/docling/commit…	x_refsource_MISC
https://github.com/docling-project/docling/releas…	x_refsource_MISC

Impacted products

2 products

Vendor	Product	Version
docling-project	docling	Affected: >= 2.45.0, < 2.131.0
docling-project	docling-slim	Affected: >= 2.45.0, < 2.131.0

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-105747",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-10-06T14:34:13.770203Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-10-06T14:48:33.056Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "docling",
          "vendor": "docling-project",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 2.45.0, \u003c 2.131.0"
            }
          ]
        },
        {
          "product": "docling-slim",
          "vendor": "docling-project",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 2.45.0, \u003c 2.131.0"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.45.0 until 2.131.0, METS-GBS format detection in docling/datamodel/document.py and the backend in docling/backend/mets_gbs_backend.py call tarfile.TarFile.getmembers() before enforcing the max_member_count limit, causing the full archive member list to be allocated before the limit can stop processing. A small gzip-compressed tar archive with a very large number of empty members can therefore consume memory proportional to the declared member count, including during format detection before the allowed_formats restriction is applied. This issue is a residual weakness in the member-count protection added for CVE-2026-44018. This issue is fixed in 2.131.0."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 4.3,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-409",
              "description": "CWE-409: Improper Handling of Highly Compressed Data (Data Amplification)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-770",
              "description": "CWE-770: Allocation of Resources Without Limits or Throttling",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-10-05T21:32:34.438Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/docling-project/docling/security/advisories/GHSA-3cr3-8m4c-fpxw",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/docling-project/docling/security/advisories/GHSA-3cr3-8m4c-fpxw"
        },
        {
          "name": "https://github.com/docling-project/docling/pull/4412",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/docling-project/docling/pull/4412"
        },
        {
          "name": "https://github.com/docling-project/docling/commit/ebae65cd71c37c88b36185b406a449b92d8f7ffa",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/docling-project/docling/commit/ebae65cd71c37c88b36185b406a449b92d8f7ffa"
        },
        {
          "name": "https://github.com/docling-project/docling/releases/tag/v2.131.0",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/docling-project/docling/releases/tag/v2.131.0"
        }
      ],
      "source": {
        "advisory": "GHSA-3cr3-8m4c-fpxw",
        "discovery": "UNKNOWN"
      },
      "title": "Docling: METS-GBS archive member limit enforced after full member enumeration (memory exhaustion during format detection)"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-105747",
    "datePublished": "2026-10-05T21:32:34.438Z",
    "dateReserved": "2026-10-05T19:11:07.947Z",
    "dateUpdated": "2026-10-06T14:48:33.056Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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.

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.

Action not permitted