fkie_cve-2026-105748

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.16.0 until 2.131.0, the InputFormat.JSON_DOCLING backend in docling/backend/json/docling_json_backend.py validates serialized DoclingDocument input without rejecting picture image references that contain local paths or file URIs. When the document is enriched or exported with ImageRefMode.EMBEDDED, the DoclingDocument._with_embedded_pictures and ImageRef.pil_image methods can open those references and place readable image bytes in Markdown or HTML output. Disclosure is limited to files Pillow can decode as images, while differing decode behavior can also reveal whether a path exists. Direct untrusted loading through docling-core is outside this Docling fix. This issue is fixed in 2.131.0.

GHSA-p944-4xh2-x776 — Docling: Crafted DoclingDocument JSON embeds local image files into converted output

Affected: PyPI: docling, PyPI: docling-slim

### Summary

docling accepts serialized `DoclingDocument` JSON as an input format (`InputFormat.JSON_DOCLING`, enabled by default). A crafted JSON file can set a picture's image `uri` to a local file path. When the converted document is exported with embedded images (`ImageRefMode.EMBEDDED`, the CLI default for Markdown and HTML), the referenced file is read and embedded as base64 in the output.

### Details

`docling/backend/json/docling_json_backend.py` validates the JSON into a `DoclingDocument` without checking image references. The file is then read by docling-core:

- `DoclingDocument._with_embedded_pictures` opens `file://` and plain-path URIs with PIL. - `ImageRef.pil_image` checks `allow_image_file_uri` for `file://` URIs but not for plain `Path` values. docling's picture enrichment models load images through this property.

Only files that PIL can decode as an image are disclosed. Other files, such as text files or keys, fail to decode and are not embedded. The different error behaviour does reveal whether a path exists.

### Impact

Disclosure of image files readable by the converting process (for example other users' uploads or page images in a shared service), and disclosure of whether a local path exists.

### Proof of concept

```python from pathlib import Path from docling_core.types.doc import DoclingDocument, ImageRef from docling_core.types.doc.base import Size

doc = DoclingDocument(name="poc") doc.add_picture(image=ImageRef(mimetype="image/png", dpi=72,…

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fkie_cve-2026-105748

GHSA-p944-4xh2-x776 — Docling: Crafted DoclingDocument JSON embeds local image files into converted output