CVE Vulnerability Catalog

Trigger.dev from version 3.3.8 to 4.5.6 contains a vulnerability in the PUT /api/v1/runs/:runId/metadata endpoint, where operation.key values are passed to new JSONHeroPath(operation.key).set() without rejecting dangerous constructor and prototype path segments. A caller with a normal environment API key can pollute Object.prototype in the shared webapp process, corrupting Prisma queries and Prometheus labels, breaking other tenants' worker authentication, and causing a process-wide denial of service.

django-helpdesk before 2.3.3 contains a stored cross-site scripting vulnerability that allows unauthenticated attackers to inject arbitrary JavaScript by submitting HTML-formatted email messages or uploading .html/.htm file attachments through public ticket submission channels. Attackers can exploit the lack of sanitization and Content-Disposition headers at the attachment-serving layer to execute malicious scripts in the browser session of authenticated staff members who open the attachment while triaging tickets.

Flyto2 Core before version 2.28.0 contains a server-side request forgery guard bypass vulnerability that allows attackers to reach internal services by supplying URLs using the unblocked IPv6 address `::` which the kernel routes to loopback identically to `0.0.0.0`. Attackers can submit requests or trigger 302 redirects to bypass the private IP range and blocked hostname checks in is_private_ip(), reaching services bound to IPv6 loopback across the http.get, http.request, and http.batch modules.

A flaw in Elasticsearch allows a low-privileged authenticated user to submit a single small request containing a forged opaque identifier. Elasticsearch decodes and deserializes the identifier before confirming that it was legitimately issued by the cluster, and a size value carried inside the identifier drives an allocation that is neither capped nor accounted for by the available memory-usage controls. The resulting out-of-memory condition is fatal and terminates the affected node process, resulting in a denial of service.

A flaw in Elasticsearch allows a low-privileged authenticated user to submit a single request containing a crafted user-supplied input. A specific internal component validates the input using a recursive routine and applies no bound to the length of the value being validated, so the validation causes the thread to exhaust its stack. The resulting fatal error is not handled by the surrounding execution paths and terminates the affected node process, producing a denial of service.

A flaw in Elasticsearch allows a low-privileged authenticated user who can index documents to submit a single small document containing a crafted user-supplied input. Processing one such document occupies a worker thread from a bounded pool for a disproportionate amount of time, degrading the availability of indexing operations on the affected node.

A flaw in Elasticsearch allows an authenticated user holding only read privileges to submit a small search request containing a crafted user-supplied input. Processing that input causes a specific internal component to allocate memory without any upper bound, and the allocation occurs outside the scope of the existing memory accounting controls that were intended to constrain it. The resulting out-of-memory condition is fatal and terminates the affected node process, causing a denial of service.

A flaw in Elasticsearch allows an authenticated user with the privileges required to invoke the simulate pipeline API endpoint to submit a request that causes a self-referential data structure to be created. When a specific internal component later processes that structure, the operation recurses without bound and raises a fatal error that is not handled by the surrounding execution path, terminating the affected node process and resulting in a denial of service.

Kibana Agent Builder does not correctly verify that the requesting user holds the privileges required by a separate Kibana feature before it creates and runs a tool that invokes that feature's functionality. This allows privilege escalation and could lead to disclosure of sensitive information that the user is not authorized to read.

Kibana Agent Builder A2A JSON-RPC API endpoint derives the identifier of a stored conversation from a user-supplied input, and the ownership check on that identifier does not distinguish between a conversation that does not exist and one that exists but belongs to another user. As a result, an authenticated user holding only the Agent Builder read privilege can supply an identifier already in use by another user in the same space and cause that user's conversation to be replaced and reassigned to the requesting account. The original owner permanently loses access to the conversation and its history. The impact is limited to loss of integrity and availability of the affected conversation; the attacker does not read the overwritten content.

Elasticsearch does not apply its configurable input length restriction to a user-supplied pattern accepted by an intervals query. Compiling a deeply nested pattern drives unbounded recursion that exhausts the thread stack and raises a fatal error, terminating the Elasticsearch node process and causing a denial of service for that node. An authenticated user holding only read-only privileges on a single searchable index can trigger the condition with one small search request.

Elasticsearch does not validate a size value from user input before using it to reserve memory for an internal data structure. An authenticated user with read-only privileges can send a single crafted request causing an excessively large allocation. Memory exhaustion raises a fatal error that terminates the node process, causing denial of service and degrading cluster health.

Kibana contains a Relative Path Traversal (CWE-23) vulnerability that can lead to unauthorized deletion of Kibana resources. Kibana Fleet accepted a user-supplied identifier for a Fleet Server host configuration without rejecting relative traversal sequences. The identifier is stored and later incorporated into the request when that configuration is removed.

Fleet Server has a code injection vulnerability (CWE-94) that can lead to execution of attacker-supplied script content. Kibana accepts an identifier for an output configuration without restricting safe characters. The identifier is later placed into a server-side script, so embedded script syntax becomes part of the executed script.

Kibana contains a Missing Authorization (CWE-862) vulnerability that can lead to cross-space information disclosure and unauthorized data modification. Kibana Machine Learning carries out its Elasticsearch operations with elevated internal permissions and relies on a per-request space filter to keep ML data separated. Part of the ML functionality did not apply that filter, so operations from one space were carried out against ML data of every space.

Kibana has a resource allocation vulnerability (CWE-770) leading to denial of service via excessive allocation. A user-supplied list of document fields in the Playground for RAG feature is not bounded or de-duplicated before building responses. A single crafted request can make Kibana build a response far larger than the source data, exhausting instance resources.

Kibana has an incorrect authorization vulnerability (CWE-863) allowing unauthorized deletion of Synthetics private locations. Locations can be shared across spaces, and the deletion safeguard only checks monitors visible in the user's own space. An authenticated user with Synthetics write privilege in one space can delete a location that other spaces depend on, even without access to those spaces.

The Elastic Security capability that suggests existing field values while a user authors endpoint policy artifacts queries Elastic Defend event data with Kibana's internal Elasticsearch account instead of the requesting user's account. Only Kibana feature privileges are verified, not the caller's Elasticsearch index privileges. An authenticated user with Elastic Security feature privileges but no read access to Elastic Defend event indices can retrieve field values, including process command line arguments, which commonly contain tokens, credentials, and other sensitive operational detail.

A Kibana Machine Learning capability that removes a saved object from the current space accepts trained models as a target, but only verifies privileges for anomaly detection and data frame analytics jobs. A user with those job creation privileges but without trained model privilege can remove a trained model from a space. The model is not deleted and remains in other spaces, and the change can be reversed by a privileged user.

A lower privileged user who holds only the privilege to read agent policies can read the entire configuration of a configured Fleet proxy. This would normally require the Fleet privilege to read settings. The proxy configuration possibly contains proxy authentication credentials and private key material that they should not be authorized to view.