Octobre 2026

docling-project docling-core

docling-core 2.5.0 before 2.103.0 contains a local file disclosure vulnerability that allows attackers to read local images by supplying plain filesystem paths in ImageRef URIs, bypassing the allow_image_file_uri gate. Attackers can submit crafted DoclingDocument JSON or YAML that, when exported with ImageRefMode.EMBEDDED or rendered to HTML, embeds readable local image files as base64 and reveals path existence.

Apache Software Foundation Apache Camel

Server-Side Request Forgery (SSRF), Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') and Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Camel Docling component. This issue affects Apache Camel: from 4.15.0 before 4.18.5, from 4.19.0 before 4.22.1. DoclingProducer decided what a String message body meant by inspecting its prefix. A body starting with http:// or https:// was handed to Docling as a remote URL to fetch, a body starting with / or containing a backslash was read from the local filesystem, and anything else was written to a temporary file and converted as document content. The mode was chosen implicitly and no endpoint option allowed a route author to pin the component to a single interpretation, so a route that means convert whatever text arrives in the body silently became a fetcher of remote resources or a reader of local files whenever the text happened to begin with one of those prefixes. The only guard applied to the derived value was a size check, and that check was wrapped in an existence test, so a path that resolved to nothing, or to a pseudo-file reporting a size of zero, passed without being checked at all. Five call sites reached the two sinks: the CLI mode appended the value as the final positional argument of the docling subprocess, and the docling-serve mode passed it either to HttpSource for the backend to fetch or to Files.readAllBytes so that the content could be base64-encoded and uploaded. Because the exchange body is never filtered by a HeaderFilterStrategy, unlike the Camel header namespace, a sender able to place text in a message that a route forwards into a docling endpoint could reach both sinks without any opt-in from the deployment. Users are recommended to upgrade to version 4.23.0, which fixes the issue. If users are on the 4.22.x releases stream, then they are suggested to upgrade to 4.22.1. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.5. The 4.14.x releases stream and earlier reached end of life before this issue was resolved and will not receive a fix, so deployments on those lines must move to a supported release. For deployments that cannot upgrade immediately, do not route message bodies that originate outside the deployment into a docling endpoint, and pass the document through a typed body such as File, byte[] or InputStream, or through the CamelDoclingInputFilePath header, so that the body is never subject to prefix interpretation.

docling-project docling · docling-project docling-slim · Docling docling

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.

docling-project docling · docling-project docling-slim · Docling docling

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.

docling-project docling · docling-project docling-slim · Docling docling

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.

docling-project docling · docling-project docling-slim · Docling docling

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.83.0 until 2.131.0, the KServeV2OcrModel class defined in docling/models/stages/ocr/kserve_v2_ocr_model.py sends page images to its configured endpoint without checking the pipeline_options.enable_remote_services setting, even when the caller sets that policy control to false. The StandardPdfPipeline._make_ocr_model method also fails to pass the flag into the OCR factory, allowing remote OCR processing in configurations that rely on remote services being disabled. The destination is configured by the caller rather than selected by an attacker. This issue is fixed in 2.131.0.

docling-project docling · docling-project docling-slim · Docling docling

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.91.0 until 2.132.0, validate_url_safety in docling/backend/utils/image_resource_loader.py validates a hostname with a single IPv4 lookup and then allows the HTTP client to resolve and parse the original URL again, permitting DNS rebinding, mixed public and internal address records, and backslash authority parser disagreement to reach internal services. HTMLBackendOptions(render_page=True) also allows HTTP and HTTPS browser requests without validating their resolved destination. Exploitation requires remote fetching to be enabled, and response content is exposed only when it is decoded as an image or passively rendered in a page screenshot. This issue is fixed in 2.132.0.

docling-project docling · docling-project docling-slim · Docling docling

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.95.0 until 2.132.0, the HTML image resource loader in docling/backend/utils/image_resource_loader.py forwards headers configured through the HTMLBackendOptions.headers setting to every remote image URL named by an untrusted document when enable_remote_fetch=True and fetch_images=True. The loader does not restrict those credentials to the source document's origin, allowing requests that carry custom headers such as API keys and cookies to follow cross-origin redirects and expose the caller's configured credentials to a document author. The default configuration is not affected because remote fetching and configured headers are required. This issue is fixed in 2.132.0.