CVE Feed

There is an input injection in vCast exposed network services in ViewSonic ViewBoard that allows a remote, unauthenticated attacker to inject arbitrary input into service endpoints via network-based HTTP requests to unauthenticated endpoints

Joplin is an open source note-taking and to-do application that organises notes and lists into notebooks. Prior to Joplin Server 3.7.2, packages/server/src/models/TokenModel.ts stores CSRF, account-confirmation, email-change, and password-reset tokens without a purpose, and packages/server/src/models/UserModel.ts allows UserModel.resetPassword to accept any token returned by TokenModel.userFromToken. An attacker who obtains a victim's CSRF or confirmation token through a separate disclosure channel can submit it to the public password-reset endpoint, replace the victim's password, and cause the existing sessions and API applications to be deleted. This issue is fixed in Joplin Server 3.7.2.

Joplin is an open source note-taking and to-do application that organises notes and lists into notebooks. Prior to 3.7.13, selecting a note containing a jsoncanvas fence causes the whiteboard text and file-node components in packages/app-desktop/gui/NoteEditor/NoteBody/WhiteboardEditor/nodes/TextNode.tsx and packages/app-desktop/gui/NoteEditor/NoteBody/WhiteboardEditor/nodes/FileNode.tsx to render card content with the full Markdown renderer. The components insert the resulting HTML into the main application document through dangerouslySetInnerHTML. A malicious note can inject style elements and remote CSS imports that modify trusted application chrome, signal when the note is opened, and potentially disclose exposed attribute values. Content Security Policy blocks inline script execution, so the supported impact is CSS injection and UI redressing rather than code execution. This issue is fixed in version 3.7.13.

Joplin is an open source note-taking and to-do application that organises notes and lists into notebooks. Prior to 3.7.13, when Joplin Desktop is running with the opt-in Web Clipper server enabled, the server in packages/lib/ClipperServer.ts sends Access-Control-Allow-Origin: * and allows an arbitrary website to call POST /auth and GET /auth/check because the pairing endpoints do not reject HTTP or HTTPS origins. The desktop confirmation dialog does not identify the requesting origin, so a victim who approves the generic prompt authorizes the attacking page, which then receives the permanent API token. The token provides ongoing read and write access to notes, folders, tags, resources, and master keys. This issue is fixed in version 3.7.13.

Scrapy is a high-level web crawling and scraping framework for Python. From 1.4.0 until 2.14.2, RefererMiddleware in scrapy/spidermiddlewares/referer.py treated a Referrer-Policy response-header value that resembled a Python import path as a referrer policy class, imported the referenced object, and called it. A malicious website could supply a callable such as sys.exit and terminate a crawler processing the response. This issue is fixed in version 2.14.2.

Immich is a high-performance self-hosted photo and video management solution. Prior to 3.2.4, an authenticated non-admin user could upload SVG files that thumbnail-generation code in server/src/repositories/media.repository.ts passed to libvips. Files that bypassed libvips' native SVG loader fell through to ImageMagick, where attacker-controlled <image href> values reached unrestricted MSL and VIDEO coder operations. By storing one crafted asset and referencing its path from a second delayed-marker SVG, an attacker could execute code in the immich-server container when thumbnail processing ran. This issue is fixed in version 3.2.4.

Twenty is an open-source CRM (customer relationship management) platform. From 1.20.10 until 2.7.0, the /metadata GraphQL connectedAccounts query returned connectionParameters from ConnectedAccountDTO for every connected account in a workspace, including plaintext IMAP, SMTP, and CalDAV passwords, because the field was not hidden and the lookup did not enforce the calling user's identity or account visibility. A normal workspace member could obtain other members' external-service credentials and use them to access mail or calendars and potentially reset third-party accounts. Google and Microsoft OAuth-only workspaces were not affected. This issue is fixed in version 2.7.0.

Dify is an open-source LLM app development platform. Prior to 1.13.0, the /console/api/remote-files/upload endpoint in api/controllers/web/remote_files.py accepted an attacker-controlled URL without authentication and caused the Dify server to retrieve it. A remote attacker could use the endpoint to send requests to internal services or cloud metadata endpoints, potentially exposing sensitive data and using the server as a network pivot. This issue is fixed in version 1.13.0.

Dify is an open-source LLM app development platform. Prior to 1.16.0, the PUT /console/api/apps/<app_id>/server endpoint in api/controllers/console/app/mcp_server.py used AppMCPServerController.put() to retrieve an AppMCPServer by the client-supplied server ID without verifying that the server belonged to the requested application and tenant. An authenticated workspace member could therefore change another application's MCP server status and parameters, potentially redirecting data or disabling the service. This issue is fixed in version 1.16.0.

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. 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 Rust frontend's track_http_metrics middleware records the raw HTTP method token as a Prometheus label for requests reaching registered routes. An unauthenticated attacker can send unique arbitrary method tokens to unguarded routes such as /tokenize, causing Prometheus's Family::get_or_create function to permanently create counter and histogram label sets. Those label sets increase process memory usage and enlarge the /metrics response until the service or monitoring path is exhausted. This issue is fixed in version 0.30.0.

GraphQL Tools provides utilities for building, stitching, and mocking GraphQL schemas. Prior to 12.0.1, the GraphQL Tools utils package's mergeDeep function follows inherited properties while recursively merging source objects and does not exclude __proto__, constructor, or prototype keys. An unauthenticated GraphQL client can alias fields to those names so responses from two subgraphs collide during ordinary supergraph result merging, causing mergeDeep to traverse Object and Function prototypes and overwrite Function.prototype.call with a subgraph-supplied value. This breaks subsequent requests in the process until restart. This issue is fixed in version 12.0.1.

vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. 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, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. 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, 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.

vLLM is an inference and serving engine for large language models. Prior to 0.28.0, the default mirrored multimodal LRU cache can commit a media hash in the frontend sender cache during multimodal rendering and before engine admission, while the engine receiver cache never receives the payload if that request is rejected. A later request reusing the same media hash causes MultiModalProcessorSenderCache to send no payload and MultiModalReceiverCache to reach an assertion with the message "Expected a cached item," producing a shared-service availability failure. This issue is fixed in version 0.28.0.

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, Harmony tool continuations submitted through "POST /v1/responses" requests rebuild the next-turn engine input without preserving the cache_salt value, placing the continuation prefix in the global unsalted cache namespace even when the caller enabled salting. On deployments with prefix caching enabled, which is the default, an authenticated tenant who can reconstruct a victim's low-entropy post-tool history can submit the same continuation and use the cached_tokens_per_turn count to determine whether the prefix was previously processed, defeating the intended tenant isolation of salted prefix caching. This issue is fixed in version 0.30.0.

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.

A malicious frontend can submit an LLB definition that causes buildkitd to panic and terminate, interrupting all builds running on that daemon.

When proxy networking with CA injection is enabled, a build can modify its CA bundle before cleanup. This may cause cleanup to block, operate outside the build rootfs, or fail without failing the build.

Docker Buildx Bake does not request the expected fs.read approval for certain filesystem inputs. An untrusted Bake definition can expose a readable file through a pathless secret whose ID is interpreted as a client-side pathname, or consume a local OCI image layout outside the project after entitlement validation checks a different path representation. Users who run untrusted Bake definitions are affected.

In MongoDB Controllers for Kubernetes, insufficient validation of Ops Manager backup configuration may allow a user who can modify an OpsManager custom resource to cause unintended administrative changes in Ops Manager. This affects deployments using Enterprise Ops Manager backup reconciliation.

A flaw was found in SSSD. In configurations where the autofs responder service is enabled, memory allocated during successful request processing is not released until the client connection terminates. A local attacker can exploit this vulnerability by maintaining an open connection and repeatedly submitting valid requests, leading to memory exhaustion and a Denial of Service (DoS).

A vulnerability was found in girishsaraf Online-Appointment-Booking-System up to f427b4757128ca253d33d0cc4e87bbb9c999a4d5. This affects the function mysqli_query of the file Admin/mlogin.php of the component Login Handler. Performing a manipulation of the argument uname/pass results in sql injection. The attack may be initiated remotely. The exploit has been made public and could be used. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The project was informed of the problem early through an issue report but has not responded yet.

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 2.82.0 until 2.118.1, HTMLBackendOptions(render_page=True) permits file URLs because HTMLDocumentBackend._get_browser_request_block_reason does not enforce the enable_local_fetch setting or confine local requests to the source document directory. Crafted path-backed HTML can embed a readable local text file in a browser-rendered page image when Playwright is installed. Only filesystem Path inputs are affected because stream inputs use an opaque origin, and the default configuration, command-line interface, docling-serve, and non-rendering backends are not affected. This issue is fixed in 2.118.1.

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 2.0.0 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.

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.

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 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.

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. This vulnerability allows an unauthenticated remote attacker to access specific files within the web application root directory in affected versions. 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, 7.1.7, 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.

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.

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 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.

A security flaw has been discovered in dotnet eShop .NET 8. The impacted element is the function GetOrderAsync of the file src/Ordering.API/Apis/OrdersApi.cs of the component Ordering API. Performing a manipulation of the argument OrderNumber results in improper control of resource identifiers. The attack is possible to be carried out remotely. The project was informed of the problem early through an issue report but has not responded yet.

Langflow is a tool for building and deploying AI-powered agents and workflows. From 1.5.0 until 1.10.3, an IP spoofing vulnerability in the Model Context Protocol (MCP) configuration installation endpoint (POST /api/v1/mcp/project/{project_id}/install) allowed authenticated remote attackers to bypass the "local-only" access restriction. By sending a spoofed X-Forwarded-For: 127.0.0.1 header, an attacker could make the server treat the request as originating from localhost, letting them write/overwrite an MCP client configuration file on the server's filesystem. This vulnerability is fixed in 1.10.3.

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.0, any authenticated Langflow user can achieve Remote Code Execution (RCE) on the server by adding an MCP server with the "Stdio" transport. The user-supplied command field is passed directly to bash -c "exec {command}" with zero validation, no allowlisting, and no sandboxing. The command executes immediately when the server list is fetched. Additionally, the env field allows arbitrary environment variable injection (e.g., LD_PRELOAD, PATH override). This vulnerability is fixed in 1.9.0.

A flaw has been found in O2OA up to 10.0.1-ce. This affects the function ActionUploadExcelWithUrl of the file /x_general_assemble_control/jaxrs/excel/upload/with/url of the component General Module. Executing a manipulation of the argument fileUrl can lead to server-side request forgery. The attack can be launched remotely. The exploit has been published and may be used. The project was informed of the problem early through an issue report but has not responded yet.

Canimaan Software ClamXAV versions 3.3 - 3.11 contains a local privilege escalation vulnerability in the Privileged Helper Tool caused by a race condition and insufficient file validation, allowing a local attacker to execute arbitrary code with system privileges. Fixed in 3.11.1.

Langflow is a tool for building and deploying AI-powered agents and workflows. From 1.6.8 until 1.9.1, Langflow authenticated access to the project identifier in a project-scoped MCP connection but did not authorize the resource URI supplied to resources/read. read_resource forwarded the attacker-controlled URI to handle_read_resource, which parsed a flow_id and filename and called storage_service.get_file without verifying that the flow belonged to the authenticated user or current project. A user with access to any project-scoped MCP endpoint could therefore request another user's flow-backed file, while global handle_list_resources and handle_list_tools behavior could disclose flow and file identifiers that made targeting easier. The vulnerability disclosed uploaded documents, structured data, prompts, and other private flow artifacts across tenants but did not modify victim files or stored flows. This issue is fixed in version 1.9.1.

Newell Brands DYMO ID 1.5.1.71 resolves its plugin Modules directory relative to the process working directory. An attacker could store a job file alongside malicious modules / DLL that sets the process working directory to the job file's folder when a victim clicks on the file, resulting in code execution at the victim's privilege level. Fixed in 1.6.0.

Newell Brands DYMO ID 1.5.1.71 parses job files using XmlDocument.Load() without disabling DTD processing. The PC Job Files view automatically parses every recognized job file extension on folder browse. A crafted file on any browsed network share can perform SSRF, capture NTLMv2 credentials, read local files, or crash the process. Fixed in 1.6.0.

Previous versions of HP ThinPro (prior to HP ThinPro 8.1 SP10) could potentially contain security vulnerabilities. HP has released HP ThinPro 8.1 SP10, which includes updates to mitigate potential vulnerabilities.  Previous versions of HP ThinPro (prior to HP ThinPro 9 SP3) could potentially contain security vulnerabilities. HP has released HP ThinPro 9 SP3, which includes updates to mitigate potential vulnerabilities.