CVE Feed

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A specially crafted request submitted by an authenticated user with minimal privileges to a validation capability of the Observability log analysis feature causes Kibana to perform an unbounded amount of concurrent work. This can exhaust the memory available to the Kibana process and make Kibana unavailable to all users until it is restarted. The severity of the outcome depends on the resources allocated to the deployment; on well-provisioned deployments a single request may cause degraded performance and elevated memory pressure rather than a full outage, but the request is inexpensive to repeat.

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized query execution against Elastic Agents that are assigned to a Kibana space the requesting user has no access to, via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A user who is authorized to run Osquery live queries in one space can have a query carried out on hosts belonging to another space, resulting in disclosure of information from those hosts to the Osquery results data stream.

Missing Authorization (CWE-862) in Kibana can lead to unauthorized execution of Osquery and Elastic Defend response actions on managed hosts via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A Kibana user who is able to author and evaluate Elastic Security detection rules can cause response actions to be carried out against enrolled agents without holding the Osquery live query privileges or the Elastic Defend response action privileges that normally govern those capabilities. Depending on the response action involved, this can result in disclosure of information from the affected hosts or in unauthorized changes to their state.

Missing Authorization (CWE-862) in Kibana can lead to unauthorized execution of Elastic Defend response actions on managed hosts via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A Kibana user who holds only detection rule authoring privileges for the Elastic Security solution can associate automated endpoint response actions with a detection rule, even though the dedicated Endpoint response action privileges that govern those capabilities (host isolation, process operations, and execute operations) have not been granted to that user. When such a rule generates alerts, the associated response actions are carried out against the matching hosts.

Relative Path Traversal (CWE-23) in Kibana can lead to the unauthorized deletion of Kibana resources via Relative Path Traversal (CAPEC-139). Kibana Fleet accepted a user-supplied identifier for a Fleet Server host configuration without rejecting relative traversal sequences. The identifier is stored as provided and is later incorporated into the request that Kibana issues when that configuration is removed.

Improper Control of Generation of Code ('Code Injection') (CWE-94) in Fleet Server can lead to the execution of attacker-supplied script content via Code Injection (CAPEC-242). Kibana accepted an identifier for an output configuration without restricting it to safe characters. That identifier is later placed into a server-side script that Fleet Server builds as part of routine agent policy processing, so script syntax embedded in the identifier became part of the script that was executed rather than being treated as data.

Missing Authorization (CWE-862) in Kibana can lead to cross-space information disclosure and unauthorized data modification via Privilege Abuse (CAPEC-122). Kibana Machine Learning carries out its Elasticsearch operations with elevated internal permissions and relies on a per-request space filter to keep the machine learning data of one space separated from another. Part of the Machine Learning functionality did not apply that filter, so operations issued from one space were carried out against the machine learning data of every space in the deployment.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A user-supplied list of document fields accepted by the Kibana Playground for RAG feature was neither bounded in length nor de-duplicated before it was used to assemble the response for each matching document. A single crafted request could therefore make Kibana build a response far larger than the data it was derived from, and the resulting processing and memory pressure exhausts the resources of the Kibana instance.

Incorrect Authorization (CWE-863) in Kibana can lead to unauthorized deletion of Synthetics private locations via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). Synthetics private locations can be shared with more than one space, and deleting one removes it from every space it is shared with. The safeguard that prevented the deletion of a private location still in use evaluated only the monitors visible in the requesting user's own space, so monitors that depend on the private location in other spaces were not taken into account. As a result, an authenticated Kibana user holding the Synthetics write privilege in a single space could delete a private location that other spaces still depend on, even where the user has no access to those spaces. Deleting the private location removes the shared configuration and stops the monitors in the other spaces from running, which suppresses the availability monitoring those spaces rely on.

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 account of the requesting user. Only Kibana feature privileges are verified, and the caller's Elasticsearch index privileges are not. An authenticated user who holds Elastic Security feature privileges but no read access to the Elastic Defend event indices can therefore retrieve field values from that data, including process command line arguments, which commonly contain tokens, credentials, connection strings, and other sensitive operational detail from protected hosts.

A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jobs and data frame analytics jobs without the trained model privilege can therefore remove a trained model from a space. The model itself is not deleted and remains available in its other spaces, and the change can be reversed by a suitably 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.

The state that Kibana stores for an Observability Onboarding flow is not bound to the user who created the flow, and the routes that read and update that state do not verify ownership. An authenticated user who holds only generic read access to the space can therefore discover the onboarding flows of other users, read their onboarding state, and write arbitrary progress data into them. A tampered flow can also cause the owner's onboarding view to fail with a server error.

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 taken from a user-supplied input before that value is used to reserve memory for an internal data structure. An authenticated user holding only read privileges can submit a single small crafted request to a product API endpoint that causes the node to attempt an excessively large allocation. The resulting memory exhaustion raises a fatal error that terminates the Elasticsearch node process, causing a denial of service for the affected node and degrading cluster health. The defect is not volumetric, so a single request is sufficient regardless of the heap size configured on the target node.

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 (https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ingest-simulate) 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.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.9.5 before 0.10.0, any authenticated user can overwrite the content of a message in a channel they do not belong to (including private and DM channels) by sending a chat completion request with a channel:-prefixed chat_id and a target message_id. The channel: path routes pipeline output through _make_channel_emitter, which writes to the Messages table using the caller-supplied message_id without binding it to the channel. This issue is fixed in version 0.10.0.

wetty provides terminal access in browser over http/https. Prior to version 3.0.4, the wetty client decodes a base64 filename from the file-download escape sequence and interpolates it raw into a Toastify HTML string (`escapeMarkup: false`). Any output the victim renders - a `cat`'d file, a tailed log, an SSH MOTD, a `curl` response - that contains `\x1b[5i...:...\x1b[4i` runs script in the wetty origin and types attacker-chosen keystrokes into the victim's SSH session. Version 3.0.4 fixes the issue.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A query expression accepted by a connector reporting operation was processed without any limit on its size, and an oversized expression caused the Kibana process to spend an unbounded amount of time evaluating it. An authenticated user with read-only privileges was able to send a single request that left Kibana unable to serve any user until the process was restarted.

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 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 ` 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 has been found in Calix GigaSpire 26.1.0. Impacted is an unknown function of the file utilities_configurationsave.cgi of the component Web Management Interface. Executing a manipulation of the argument sessionKey can lead to denial of service. The attack can be launched remotely. The exploit has been published and may be used. The existence of this vulnerability is still disputed at present. The vendor explains: "We reproduced the reported request pattern. The observed delay results from expected input-timeout handling while the handler waits for input data. We did not observe a backend crash, resource exhaustion, service instability, or loss of EWI availability, and the interface remained accessible during and after testing."

The Signify Philips Hue Bridge Pro firmware embeds a Mosquitto MQTT broker service that listens on all network interfaces without authentication. An unauthenticated attacker with network access to the MQTT service on a vulnerable system can read data and control connected lights. Fixed in 1.77.2071318010.

IBM i 7.6, 7.5, 7.4, and 7.3 s vulnerable to a buffer overflow from improperly validating client data. By sending malformed requests to one of the host servers, a remote attacker could leverage this vulnerability to cause a denial-of-server (DoS) for that server.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote authenticated attacker to execute arbitrary code due to a buffer overflow.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to execute arbitrary code due to a buffer overflow.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote authenticated attacker to obtain sensitive information due to a buffer overflow.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to an infinite loop.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to unbounded resource allocation.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to an infinite loop.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to a heap buffer overflow.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service and modify authentication metadata due to a buffer overflow.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to bypass security restrictions due to improper validation of client-asserted identity.

phpList before 3.7.0-RC5 contains a cross-site request forgery (CSRF) vulnerability in lists/admin/admins.php. The administrator deletion action is triggered via an unauthenticated GET request (?page=admins&delete=N) that is not protected by a CSRF token (the central verifyCsrfGetToken check uses enforce=false and is bypassed when the token parameter is absent). A remote attacker can trick a logged-in super-administrator into loading a crafted URL (e.g., embedded as an image in an email) to delete any non-self administrator account.

phpList before 3.7.0-RC5 fail to enforce CSRF token validation on the bounce rule deletion endpoint (bouncerules.php / bouncerule.php). The deletion is performed via a GET request (?page=bouncerules&del=N), and the central CSRF check (verifyCsrfGetToken) is invoked with enforce=false, so it only validates the token when a 'tk' parameter is present. A remote attacker can trick an authenticated administrator into loading a crafted URL (e.g., embedded in an image tag) to delete arbitrary bounce rules from the phplist_bounceregex table without a valid CSRF token.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a local attacker to gain elevated privileges due to improper privilege management.

NodeBB before 4.15.0 contains a stored cross-site scripting vulnerability in the renderEmoji function that fails to escape tag.icon.url and tag.name attributes. Attackers can deliver malicious ActivityPub Create/Note objects with crafted emoji tags to inject arbitrary HTML and JavaScript into stored post content, executing code in all viewers' browsers.

Next AI Draw.io through 0.4.16 contains a server-side request forgery vulnerability in the POST /api/parse-url endpoint due to hostname validation that only checks string patterns without DNS resolution. Unauthenticated attackers can supply hostnames that bypass string validation but resolve to internal addresses, allowing them to reach arbitrary internal HTTP services and exfiltrate responses including cloud metadata.

Vitest is a testing framework powered by Vite. Prior to versions 3.2.7, 4.1.10, and 5.0.0-beta.6, Browser Mode provider commands including upload, takeScreenshot, screenshotMatcher, stopChunkTrace, deleteTracing, and annotateTraces accept browser-supplied file paths without enforcing the allowWrite permission gate or confining paths to the project root. A client that can reach the Browser Mode API can read arbitrary local files, create or overwrite image and trace files, or delete files accessible to the Vitest process even when allowWrite is false. This issue is fixed in versions 3.2.7, 4.1.10, and 5.0.0-beta.6.

Next AI Draw.io 0.2.1 through 0.4.16 contains a reflected cross-site scripting vulnerability in the mcp query parameter that is interpolated without escaping into HTML and JavaScript. Attackers can craft malicious URLs to execute arbitrary JavaScript in the localhost origin, enabling exfiltration of diagram sessions and API data.

vantage6 is an open-source infrastructure for privacy preserving analysis. In version 5.0.2 and earlier, the algorithm-store edit permission lacks an ownership check, allowing one algorithm developer to alter another developer's algorithm while it is pending or under review. The attacker can change metadata including the algorithm image or image tag, causing reviewers and nodes to trust a different image from the one originally submitted for approval. No fixed version is available as of this review.

TypeORM is a TypeScript and JavaScript ORM for Node.js that supports PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, and other databases. Prior to versions 0.3.31 and 1.1.0, typeorm migration:generate embeds database schema metadata into JavaScript or TypeScript template literals in src/commands/MigrationGenerateCommand.ts, escaping backticks but not ${...} interpolation. An attacker with database schema write access can place a payload in column COMMENT or DEFAULT metadata, or another introspected schema string, and the JavaScript engine evaluates the payload when the generated migration is loaded through migration:run, import, or require. This issue is fixed in versions 0.3.31 and 1.1.0.

SVGO, short for SVG Optimizer, is a Node.js library and command-line application for optimizing SVG files. From version 1.0.0 until versions 2.8.3, 3.3.4, and 4.0.2, the removeScripts plugin, named removeScriptElement in versions 1 through 3, can leave executable content in optimized SVGs because it does not remove namespaced or prefixed script elements such as <svg:script> and, in versions 3 and 4, matches JavaScript URIs case sensitively. Applications that process untrusted SVG input with this plugin enabled and serve the result can allow scripts to execute when another user opens the SVG, exposing local storage or cookies. This issue is fixed in versions 2.8.3, 3.3.4, and 4.0.2.

Velocity.js is a JavaScript implementation of the Apache Velocity template engine. Prior to 2.1.7, the earlier fix for CVE-2026-44966 filtered constructor, __proto__, and prototype only in the #set assignment handler in src/compile/set.ts, while property-read expressions in src/compile/references.ts remained unfiltered. The getReferences() flow called getAttributes(), whose property access allowed an attacker-controlled template to traverse constructor.constructor to the JavaScript Function constructor. The #set handler validated only the assignment target and did not inspect the right-hand property-read expression, allowing arbitrary shell commands, environment-variable access, cloud-credential access, and internal-network access in the server process. This issue is fixed in version 2.1.7.