| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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 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. |
| The knowledge base creation and document upload interfaces in Langchain-Chatchat 0.3.0;0.3.1 is vulnerable to path traversal. An attacker can inject path traversal sequences (such as `..\`) into the `knowledge_base_name` parameter to write knowledge base content to arbitrary locations outside the configured knowledge base root directory. |
| The /knowledge_base/upload_temp_docs temporary document upload endpoint in Langchain Chatchat 0.3.1 is vulnerable to path traversal. By crafting malicious filenames, an attacker can write files to arbitrary locations on the server, bypassing the intended restrictions on the temporary directory. |
| infiniflow ragflow 0.24.0 is vulnerable to Incorrect Access Control via /v1/document/get/<doc_id>. |
| infiniflow ragflow 0.25.3 contains improper access control in resume (api/apps/connector_app.py). Depending on the exposed entry, an attacker can perform unauthorized cross-session or privilege-crossing operations. |
| SuperAGI up to v0.0.14 contains an improper access control vulnerability in the agent execution controller. In affected source snapshots, create_agent_execution and create_agent_run in superagi/controllers/agent_execution.py accept a caller-supplied agent_id and fail to verify that the referenced agent belongs to the authenticated user's organization. A remote authenticated attacker from one organization can create or start execution records for agents owned by another organization through /agentexecutions/add or /agentexecutions/add_run. |
| vanna v2.0.2 contains a code injection vulnerability in VannaBase.get_plotly_figure (src/vanna/legacy/base/base.py). Depending on the exposed entry, an attacker can trigger attacker-controlled code or command execution. |
| TransformerOptimus SuperAGI v0.0.14 is vulnerable to Incorrect Access Control in the agent template controller. In affected source snapshots, save_agent_as_template and publish_template in superagi/controllers/agent_template.py accept caller-supplied agent_id or agent_execution_id values and do not verify that the referenced agent or execution belongs to the authenticated user's organization. |
| Penpot is an open-source design and prototyping platform. Prior to 2.18.0, the unauthenticated get-view-only-bundle RPC returns every share-link row for a file even when the caller authenticated with only one scoped share link. A holder of a restrictive link can obtain other links' secret IDs, page scopes, comment permissions, and inspection permissions, then replay a more permissive token to access page data that was not included in the original share. This issue is fixed in version 2.18.0. |
| Penpot is an open-source design and prototyping platform. Prior to 2.18.0, authenticated users with file-edit permission can upload SVG media whose scripts, event-handler attributes, and foreignObject elements are stored without sanitization and served as image/svg+xml from the Penpot origin. A victim who navigates to the asset URL executes attacker-controlled JavaScript in that origin, allowing requests and data access with the victim's Penpot session authority. This issue is fixed in version 2.18.0. |
| Penpot is an open-source design and prototyping platform. Prior to 2.18.0, assemble-chunks retrieves an upload session using only its session ID, while upload-chunk correctly scopes the lookup to the authenticated profile. An authenticated user who obtains another user's live, completed upload-session UUID can assemble the victim's chunks into the attacker's own file, team font, or project import, disclosing the uploaded bytes and deleting the victim's pending session. This issue is fixed in version 2.18.0. |
| Penpot is an open-source design and prototyping platform. Prior to 2.18.0, the get-page RPC accepts a share-link permission object with blanket read access but does not verify that the caller-selected page-id belongs to the link's authorized pages set. An attacker with both a valid share link and the attacker's own authenticated Penpot session can retrieve the complete shape and design data of another page in the same file when its identifier is known, because get-page requires authentication. The related get-file-fragment RPC also permits share-link access without mapping fragments to authorized pages. This issue is fixed in version 2.18.0. |
| A flaw was found in Quay. A cross-site scripting (XSS) vulnerability in the OAuth callback handler allows a remote attacker to execute arbitrary JavaScript code within a user's browser session. By tricking a logged-in user into visiting a specially crafted link, an attacker can exploit improper input sanitization to run client-side scripts in the application context. Successful exploitation could allow the attacker to compromise the user's session, access sensitive registry information, or perform unauthorized actions on their behalf. |
| h3. Summary
This is a vulnerability in Bitbucket Data Center, Confluence Data Center, Jira Service Management Data Center, Jira Software Data Center, Bamboo Data Center. Crowd Data Center, Crucible and Fisheye. This Arbitrary File Access vulnerability allows an unauthenticated attacker to access specific files within the web application root directory in affected versions. Exploitation requires prior knowledge of the target file's exact name and path; this vulnerability does not allow attackers to enumerate or list directory contents. In some configurations, there may be some sensitive files that make this highly severe.
h3. Context
This vulnerability allows an unauthenticated remote attacker to access specific files within the web application root directory in affected versions.
h3. Details:
* The vulnerability must be addressed for affected versions of:
Bitbucket Data Center, introduced in version >= 4.6.0, fix versions: 9.4.26, 10.2.8, 10.5.1
Confluence Data Center, introduced in version >= 5.10.0, fix versions 9.2.26, 10.2.19
Crowd Data Center, introduced in version >= 2.11.0, fix versions 6.3.7, 7.0.3, 7.1.1, 7.2.4
Jira Software Data Center, introduced in version >= 7.1.0, fix versions 9.12.40, 10.3.26, 11.3.12
Jira Service Management Data Center, introduced in version >= 3.1.0, fix versions 5.12.40, 10.3.26, 11.3.12
Bamboo Data Center >= 7.0.1, fix versions 10.2.24, 12.1.12
Crucible, fix versions 4.9.15
Fisheye, fix version 4.9.15
* Exploitation requires prior knowledge of the target file's exact name and path.
* The vulnerability does not include the capability to enumerate or list directory contents. |
| openSIS Classic 9.3 allows an authenticated user with the built-in teacher role can select an arbitrary staff record through staff_id and cause the School Information update path to reset that selected account's password. |
| Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.27.0 until 2.131.0, Docling plugin factories in docling/models/factories/base_factory.py call load_setuptools_entrypoints() before applying the allow_external_plugins setting, so every module registered in the Docling entry-point group is imported even when external plugins are disabled. An installed third-party or compromised package can therefore execute import-time code when Docling starts, while the subsequent namespace filter misleadingly reports that the plugin was not loaded. This issue is fixed in 2.131.0. |
| Next.js is a React framework for building full-stack web applications. From 16.3.0 until 16.3.8, pending use cache fills for the same key are shared without separating Draft Mode requests from regular requests. An overlapping regular request can receive unauthenticated unpublished content from an editor's Draft Mode fill, while an overlapping Draft Mode request can receive published content from a regular fill. When the regular request prerenders a page, the draft-dependent content can persist in the generated page and be served to later visitors until revalidation. Sites are affected when Cache Components or experimental.useCache is enabled and cached functions return draft-dependent content. This issue is fixed in version 16.3.8. |
| Taskview Community before 1.56.0 contains a missing authentication vulnerability that allows unauthenticated attackers to register arbitrary OAuth clients and take over user accounts by exploiting the OAuth 2.0 Dynamic Client Registration endpoint, which is enabled by default and requires no authentication. Attackers can send a POST request to the registration endpoint to obtain a client_id and client_secret, then craft a malicious authorization link pointing to an attacker-controlled redirect URI to capture authorization codes and exchange them for access tokens granting full API access to victim account data. |
| UTMStack before 11.2.16 contains a JPQL injection vulnerability that allows authenticated attackers to read arbitrary entity data by exploiting UtmNetworkScanService.searchPropertyValues(), which builds a JPQL query with String.format() and executes it via em.createQuery() without parameter binding. Attackers can inject malicious JPQL through the value parameter in the GET /api/utm-network-scans/searchPropertyValues endpoint to extract sensitive data including credential tables such as jhi_user. |
