Vulnerability-Lookup

PYSEC-2026-4195

Vulnerability from pysec - Published: 2026-10-05 22:16 - Updated: 2026-10-08 09:43

Details

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.0.0 until 2.131.0, the HTML, JATS, OpenDocument spreadsheet, and BoxNote backends, including docling/backend/html_backend.py, docling/backend/jats_backend.py, and docling/backend/boxnote_backend.py, accept the rowspan and colspan attribute values without an upper bound and execute loops or allocate a table grid proportional to the declared span. A very small document can therefore cause sustained CPU use or multi-gigabyte memory allocation, and the document_timeout setting does not interrupt the single backend conversion call. Export through the TableData.grid property can further materialize the oversized grid. This issue is fixed in 2.131.0.

Severity

6.5 (Medium)


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

Impacted products

Name	purl
docling	pkg:pypi/docling

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {},
      "package": {
        "ecosystem": "PyPI",
        "name": "docling",
        "purl": "pkg:pypi/docling"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.0.0"
            },
            {
              "fixed": "2.131.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.0.0",
        "2.1.0",
        "2.10.0",
        "2.100.0",
        "2.101.0",
        "2.102.0",
        "2.102.1",
        "2.102.2",
        "2.103.0",
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        "2.106.0",
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        "2.108.0",
        "2.109.0",
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        "2.110.0",
        "2.111.0",
        "2.112.0",
        "2.113.0",
        "2.114.0",
        "2.115.0",
        "2.116.0",
        "2.117.0",
        "2.118.0",
        "2.118.1",
        "2.119.0",
        "2.12.0",
        "2.120.1",
        "2.120.2",
        "2.120.3",
        "2.121.0",
        "2.122.0",
        "2.123.0",
        "2.123.1",
        "2.124.0",
        "2.125.0",
        "2.126.0",
        "2.127.0",
        "2.128.0",
        "2.129.0",
        "2.13.0",
        "2.130.0",
        "2.14.0",
        "2.15.0",
        "2.15.1",
        "2.16.0",
        "2.17.0",
        "2.18.0",
        "2.19.0",
        "2.2.0",
        "2.2.1",
        "2.20.0",
        "2.21.0",
        "2.22.0",
        "2.23.0",
        "2.23.1",
        "2.24.0",
        "2.25.0",
        "2.25.1",
        "2.25.2",
        "2.26.0",
        "2.27.0",
        "2.28.0",
        "2.28.1",
        "2.28.2",
        "2.28.3",
        "2.28.4",
        "2.29.0",
        "2.3.0",
        "2.3.1",
        "2.30.0",
        "2.31.0",
        "2.31.1",
        "2.31.2",
        "2.32.0",
        "2.33.0",
        "2.34.0",
        "2.35.0",
        "2.36.0",
        "2.36.1",
        "2.37.0",
        "2.38.0",
        "2.38.1",
        "2.39.0",
        "2.4.0",
        "2.4.1",
        "2.4.2",
        "2.40.0",
        "2.41.0",
        "2.42.0",
        "2.42.1",
        "2.42.2",
        "2.43.0",
        "2.44.0",
        "2.45.0",
        "2.46.0",
        "2.47.0",
        "2.47.1",
        "2.48.0",
        "2.49.0",
        "2.5.0",
        "2.5.1",
        "2.5.2",
        "2.50.0",
        "2.51.0",
        "2.52.0",
        "2.53.0",
        "2.54.0",
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        "2.60.1",
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        "2.64.1",
        "2.65.0",
        "2.66.0",
        "2.67.0",
        "2.68.0",
        "2.69.0",
        "2.69.1",
        "2.7.0",
        "2.7.1",
        "2.70.0",
        "2.71.0",
        "2.72.0",
        "2.73.0",
        "2.73.1",
        "2.74.0",
        "2.75.0",
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        "2.77.0",
        "2.78.0",
        "2.79.0",
        "2.8.0",
        "2.8.1",
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        "2.96.0",
        "2.96.1",
        "2.97.0",
        "2.98.0",
        "2.99.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-105749",
    "GHSA-cgc7-9qp3-86m3"
  ],
  "details": "Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.0.0 until 2.131.0, the HTML, JATS, OpenDocument spreadsheet, and BoxNote backends, including docling/backend/html_backend.py, docling/backend/jats_backend.py, and docling/backend/boxnote_backend.py, accept the rowspan and colspan attribute values without an upper bound and execute loops or allocate a table grid proportional to the declared span. A very small document can therefore cause sustained CPU use or multi-gigabyte memory allocation, and the document_timeout setting does not interrupt the single backend conversion call. Export through the TableData.grid property can further materialize the oversized grid. This issue is fixed in 2.131.0.",
  "id": "PYSEC-2026-4195",
  "modified": "2026-10-08T09:43:12.609211Z",
  "published": "2026-10-05T22:16:57.943Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/docling-project/docling/releases/tag/v2.131.0"
    },
    {
      "type": "FIX",
      "url": "https://github.com/docling-project/docling/commit/c5b4429cc6500a344c13edeb22e67610c2159b09"
    },
    {
      "type": "FIX",
      "url": "https://github.com/docling-project/docling/pull/4414"
    },
    {
      "type": "FIX",
      "url": "https://github.com/docling-project/docling/security/advisories/GHSA-cgc7-9qp3-86m3"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-105749 (GCVE-0-2026-105749)

Vulnerability from cvelistv5 – Published: 2026-10-05 21:36 – Updated: 2026-10-08 02:29

Title

Docling: Unbounded table rowspan/colspan in HTML, JATS, ODS and BoxNote backends causes CPU/memory exhaustion

Summary

Severity

6.5 (Medium)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-10-08 02:28 UTC

CWE

CWE-400 - Uncontrolled Resource Consumption
CWE-789 - Memory Allocation with Excessive Size Value

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/4414	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: >= 2.0.0, < 2.131.0
docling-project	docling-slim	Affected: >= 2.92.0, < 2.131.0

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-105749",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-10-08T02:28:41.797887Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-10-08T02:29:09.184Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
              "exploit"
            ],
            "url": "https://github.com/docling-project/docling/security/advisories/GHSA-cgc7-9qp3-86m3"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "docling",
          "vendor": "docling-project",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 2.0.0, \u003c 2.131.0"
            }
          ]
        },
        {
          "product": "docling-slim",
          "vendor": "docling-project",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 2.92.0, \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 2.0.0 until 2.131.0, the HTML, JATS, OpenDocument spreadsheet, and BoxNote backends, including docling/backend/html_backend.py, docling/backend/jats_backend.py, and docling/backend/boxnote_backend.py, accept the rowspan and colspan attribute values without an upper bound and execute loops or allocate a table grid proportional to the declared span. A very small document can therefore cause sustained CPU use or multi-gigabyte memory allocation, and the document_timeout setting does not interrupt the single backend conversion call. Export through the TableData.grid property can further materialize the oversized grid. This issue is fixed in 2.131.0."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 6.5,
            "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:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-400",
              "description": "CWE-400: Uncontrolled Resource Consumption",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-789",
              "description": "CWE-789: Memory Allocation with Excessive Size Value",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-10-05T21:36:53.431Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/docling-project/docling/security/advisories/GHSA-cgc7-9qp3-86m3",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/docling-project/docling/security/advisories/GHSA-cgc7-9qp3-86m3"
        },
        {
          "name": "https://github.com/docling-project/docling/pull/4414",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/docling-project/docling/pull/4414"
        },
        {
          "name": "https://github.com/docling-project/docling/commit/c5b4429cc6500a344c13edeb22e67610c2159b09",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/docling-project/docling/commit/c5b4429cc6500a344c13edeb22e67610c2159b09"
        },
        {
          "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-cgc7-9qp3-86m3",
        "discovery": "UNKNOWN"
      },
      "title": "Docling: Unbounded table rowspan/colspan in HTML, JATS, ODS and BoxNote backends causes CPU/memory exhaustion"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-105749",
    "datePublished": "2026-10-05T21:36:53.431Z",
    "dateReserved": "2026-10-05T19:11:07.947Z",
    "dateUpdated": "2026-10-08T02:29:09.184Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

GHSA-CGC7-9QP3-86M3

Vulnerability from github – Published: 2026-10-07 20:41 – Updated: 2026-10-07 20:41

Summary

Docling: Unbounded table rowspan/colspan in HTML, JATS, ODS and BoxNote backends causes CPU/memory exhaustion

Details

Summary

The HTML, JATS, ODS (OpenDocument spreadsheet) and BoxNote backends accept table rowspan / colspan values without an upper bound. A few bytes of input, such as <td rowspan="100000000">, make docling run loops proportional to the declared span and allocate a table grid of the declared size. The result is CPU and memory exhaustion.

Details

docling/backend/html_backend.py (_get_cell_spans) parses span attributes with no upper limit. The cell-filling loop then iterates row_span × col_span times.
docling/backend/jats_backend.py and docling/backend/boxnote_backend.py fill their tables the same way.
The OpenDocument spreadsheet path scans the declared span range.
Export (for example export_to_markdown()) materialises the full grid through TableData.grid in docling-core.

document_timeout does not bound this. It is checked between pipeline stages, and these backends convert the whole document in a single call. max_file_size and max_num_pages do not help because the payload is tiny.

Measured on 2.130.0: a 54-byte HTML file with rowspan="1e8" takes about 4.4 s of CPU, and the time grows linearly with the value. A 52-byte file with colspan="3000000" takes about 23 s and reaches 4.5 GB peak memory during Markdown export.

Impact

Denial of service of the converting process from a very small input document. Confidentiality and integrity are not affected.

Proof of concept

<table><tr><td colspan="3000000">x</td></tr></table>

from docling.document_converter import DocumentConverter
DocumentConverter().convert("span.html").document.export_to_markdown()

Patches

Fixed in docling 2.131.0 by #4414. Table spans are clamped to the HTML limits (colspan 1000, rowspan 65534) and to the actual size of the table in the HTML, JATS, BoxNote and OpenDocument spreadsheet backends, so conversion time and memory grow with the real table only.

Workarounds

Upgrade to 2.131.0. For older versions:

Run conversions of untrusted documents in a separate process with memory and CPU-time limits, or restrict allowed_formats to formats that are not affected.

Severity

6.5 (Medium)


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

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "docling"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.0.0"
            },
            {
              "fixed": "2.131.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "docling-slim"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.92.0"
            },
            {
              "fixed": "2.131.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-105749"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-789"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-10-07T20:41:02Z",
    "nvd_published_at": "2026-10-05T22:16:57Z",
    "severity": "MODERATE"
  },
  "details": "### Summary\n\nThe HTML, JATS, ODS (OpenDocument spreadsheet) and BoxNote backends accept table `rowspan` / `colspan` values without an upper bound. A few bytes of input, such as `\u003ctd rowspan=\"100000000\"\u003e`, make docling run loops proportional to the declared span and allocate a table grid of the declared size. The result is CPU and memory exhaustion.\n\n### Details\n\n- `docling/backend/html_backend.py` (`_get_cell_spans`) parses span attributes with no upper limit. The cell-filling loop then iterates `row_span \u00d7 col_span` times.\n- `docling/backend/jats_backend.py` and `docling/backend/boxnote_backend.py` fill their tables the same way.\n- The OpenDocument spreadsheet path scans the declared span range.\n- Export (for example `export_to_markdown()`) materialises the full grid through `TableData.grid` in docling-core.\n\n`document_timeout` does not bound this. It is checked between pipeline stages, and these backends convert the whole document in a single call. `max_file_size` and `max_num_pages` do not help because the payload is tiny.\n\nMeasured on 2.130.0: a 54-byte HTML file with `rowspan=\"1e8\"` takes about 4.4 s of CPU, and the time grows linearly with the value. A 52-byte file with `colspan=\"3000000\"` takes about 23 s and reaches 4.5 GB peak memory during Markdown export.\n\n### Impact\n\nDenial of service of the converting process from a very small input document. Confidentiality and integrity are not affected.\n\n### Proof of concept\n\n```html\n\u003ctable\u003e\u003ctr\u003e\u003ctd colspan=\"3000000\"\u003ex\u003c/td\u003e\u003c/tr\u003e\u003c/table\u003e\n```\n\n```python\nfrom docling.document_converter import DocumentConverter\nDocumentConverter().convert(\"span.html\").document.export_to_markdown()\n```\n\n### Patches\n\nFixed in docling 2.131.0 by [#4414](https://github.com/docling-project/docling/pull/4414). Table spans are clamped to the HTML limits (colspan 1000, rowspan 65534) and to the actual size of the table in the HTML, JATS, BoxNote and OpenDocument spreadsheet backends, so conversion time and memory grow with the real table only.\n\n### Workarounds\n\nUpgrade to 2.131.0. For older versions:\n\nRun conversions of untrusted documents in a separate process with memory and CPU-time limits, or restrict `allowed_formats` to formats that are not affected.",
  "id": "GHSA-cgc7-9qp3-86m3",
  "modified": "2026-10-07T20:41:02Z",
  "published": "2026-10-07T20:41:02Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/docling-project/docling/security/advisories/GHSA-cgc7-9qp3-86m3"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-105749"
    },
    {
      "type": "WEB",
      "url": "https://github.com/docling-project/docling/pull/4414"
    },
    {
      "type": "WEB",
      "url": "https://github.com/docling-project/docling/commit/c5b4429cc6500a344c13edeb22e67610c2159b09"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/docling-project/docling"
    },
    {
      "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:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Docling: Unbounded table rowspan/colspan in HTML, JATS, ODS and BoxNote backends causes CPU/memory exhaustion"
}

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

PYSEC-2026-4195

CVE-2026-105749 (GCVE-0-2026-105749)

GHSA-CGC7-9QP3-86M3

Summary

Details

Impact

Proof of concept

Patches

Workarounds

Tags

Sightings

Nomenclature

Related by attack behaviour