| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| vLLM is an inference and serving engine for large language models. Prior to 0.30.0, OpenAI-compatible request models accept a non-empty cache_salt value without enforcing the character and length restrictions required by the IPCCacheServerKey consumer in LMCache-MP. On deployments using the LMCache-MP connector, a salt that contains a forbidden character or exceeds the permitted length can raise an uncaught ValueError during scheduler cache lookup, causing EngineCore to terminate and denying service to all concurrent users. This issue is fixed in version 0.30.0. |
| vLLM is an inference and serving engine for large language models. Prior to 0.30.0, flash late-interaction scoring at the /score and /rerank endpoints derives each worker's query_key value from the caller-controlled X-Request-Id header. A concurrent request that reuses a victim's identifier can overwrite the cached query embedding so the victim's documents are scored against the attacker's query, and shared use counters can also cause a late-interaction cache-miss error. This issue is fixed in version 0.30.0. |
| vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors in the features.kwargs_data field, cache identifiers in the features.mm_hashes field, ranges in the features.mm_placeholders field, and wire-selected multimodal field processors without rebinding them to the active model renderer contract. Forged grid geometry, field types, or non-positive placeholder lengths can terminate the shared EngineCore; when an attacker knows or can induce a victim's content hash, forged cache hashes can poison or retrieve cross-request encoder-cache state; and dropped sparse placeholder masks can alter replayed transport semantics. This issue is fixed in version 0.30.0. |
| SuperAGI up to 0.0.14 is vulnerable to Incorrect Access Control. The agent execution controller endpoint /api/agentexecutions/schedule allows authenticated users from one organization to schedule existing agents belonging to a different organization without proper authorization checks. The endpoint accepts an agent_id parameter but does not verify that the agent belongs to the authenticated user's organization. |
| In FilterCapturedPacket of snoop_logger.cc, there is a possible memory safety issue due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. |
| In stpropnci_process of stpropnci.cc, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. |
| In multiple locations, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. |
| 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. |
| Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.94.0 until 2.132.0, callers that opt into LatexBackendOptions(tikz_engine="tectonic") invoke docling/backend/latex/engines/tectonic.py to compile an untrusted TikZ body and document preamble without restricting TeX file primitives including \openin and \openout. Crafted input can read files available to the converter and create or overwrite writable files, and enabling the tikz_engine_allow_shell_escape option additionally permits shell commands through TeX. The default configuration, which does not enable Tectonic rendering, is not affected. This vulnerability is fixed in 2.132.0. |
| 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. |
| 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. |
| 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. |
| 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. |
| In AMD Versal™ Adaptive SoC devices, insufficient boundary checks in USB boot mode—when enabled through board modifications—could allow crafted images to trigger a buffer overflow and overwrite an active function pointer, which may result in arbitrary code execution during boot process. This condition could lead to potential impacts on confidentiality, integrity, and availability. |
| Insufficient boundary validation in the USB boot mode implementation of AMD Zynq™ UltraScale+ MPSoC and RFSoC devices could allow unbounded Device Firmware Upgrade (DFU) download requests to overflow the DDR receive buffer into FSBL memory, potentially resulting in unauthorized code execution during the boot process. This issue could impact the confidentiality, integrity, or availability of affected system. |
| Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.107.0 until 2.120.3, docling/backend/opendocument_backend.py uses the xlink:href attribute value of a draw:image element as a filesystem path when the referenced part is not found in the document archive. The _image_ref_from_odf_image function reads that attacker-controlled path without a scheme check, extraction-directory confinement, or the enable_local_fetch setting used by other backends. Readable files that Pillow can decode as images are embedded in converted output, and other existing paths can be distinguished through the attempted read. This issue is fixed in 2.120.3. |
| 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. |
| A vulnerability was identified in girishsaraf Online-Appointment-Booking-System up to f427b4757128ca253d33d0cc4e87bbb9c999a4d5. This issue affects the function mysqli_query of the file locateus.php of the component Doctor Search Endpoint. The manipulation of the argument doctorname leads to sql injection. Remote exploitation of the attack is possible. The exploit is publicly available and might be used. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The project was informed of the problem early through an issue report but has not responded yet. |
| A vulnerability was determined in girishsaraf Online-Appointment-Booking-System up to f427b4757128ca253d33d0cc4e87bbb9c999a4d5. This vulnerability affects unknown code of the file get_town.php of the component AJAX Endpoint. Executing a manipulation of the argument countryid/townid/cid/didval/cidval can lead to sql injection. The attack may be launched remotely. The exploit has been publicly disclosed and may be utilized. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. The project was informed of the problem early through an issue report but has not responded yet. |
| RAGFlow 0.24.0 contains improper access control in get_dataset (api/apps/evaluation_app). Depending on the exposed entry, an attacker can trigger attacker-controlled code or command execution |
