CVE Database

Jenkins LDAP Plugin 807.809.vd3a_4e5e4ec98 and earlier allows connecting to a specified URL through Stapler data binding, allowing attackers to connect to an attacker-specified URL.

A missing permission check in Jenkins Pipeline: Build Step Plugin 599.v4b_67ea_11b_152 and earlier causes downstream builds awaited by the `waitForBuild` step when the `propagateAbort` parameter is used to be canceled even when the build's authentication lacks Item/Cancel permission on the downstream job.

A missing permission check in Jenkins Pipeline: Build Step Plugin 599.v4b_67ea_11b_152 and earlier causes downstream builds triggered by the `build` step to be canceled even when the build's authentication lacks Item/Cancel permission on the downstream job.

Jenkins Script Security Plugin 1412.v7737b_3405f86 and earlier does not enforce a permission check in the method that controls the "Force the use of the sandbox globally in the system" setting, allowing attackers to disable it through Stapler data binding.

Jenkins Script Security Plugin 1412.v7737b_3405f86 and earlier uses the `@DataBoundConstructor` annotation on a constructor that loads script approval configuration, allowing attackers able to submit certain forms to read that configuration.

In Jenkins 2.579 and earlier, LTS 2.568.2 and earlier, the build CLI command does not check the Item/Cancel permission when using the -s flag to cancel a build triggered to wait for completion, allowing attackers with Item/Build permission to cancel builds started by other users.

A missing permission check in Jenkins 2.579 and earlier, LTS 2.568.2 and earlier allows attackers with Item/Read permission on at least one job to read build parameter names and values of jobs they have no access to.

Jenkins 2.579 and earlier, LTS 2.568.2 and earlier does not escape map keys when serializing objects as JSON and Python through its REST API, allowing attackers able to control map property names to inject arbitrary fields into JSON and Python API responses.

In Stapler 2107.v8dfcb_e8ed317 and earlier, except 2088.2093.vd7c3e58008a_6, included in Jenkins 2.579 and earlier, LTS 2.568.2 and earlier, form data binding allows setting public static fields of the bound configuration object, allowing attackers who can submit configuration forms to modify public static fields of the configuration objects those forms are bound to, resulting in changes that apply globally to the Jenkins instance.

In Jenkins 2.579 and earlier, LTS 2.568.2 and earlier, the REST API and CLI endpoints for updating agent configuration do not prevent a submitted configuration from overwriting a different agent by specifying that agent's name in the submitted XML document, allowing attackers with Agent/Configure permission on one agent to take over a different agent, gaining control of its configuration and obtaining access to its inbound agent secret and environment variables.

In Jenkins 2.579 and earlier, LTS 2.568.2 and earlier, user objects can appear as nested field values in other deserialized XML objects, allowing attackers with Overall/Read permission to create user objects by submitting crafted XML.

async-tar is a tar archive reading/writing library for async Rust. Prior to version 0.6.1, async-tar mis-applies a buffered PAX size extension to an intermediary extension header (a GNU longname L, a GNU longlink K, or a PAX x/g header) instead of to the next file entry. POSIX requires a PAX extended-header record set to describe the next file entry, never an intervening extension header. Because poll_next_raw (src/archive.rs) threads the buffered PAX records into the size computation of whatever raw header it reads next — and that header can be an intermediary L — the stream cursor is advanced by an attacker-chosen amount when the L body is consumed. The parser then desyncs relative to a POSIX-correct tar parser (e.g. GNU tar), reading subsequent bytes at the wrong block boundary. This issue has been patched in version 0.6.1.

An authenticated user with permission to query a SQL data source can bypass the fix for CVE-2026-33375 by injecting the timeGroup macro through a WHERE clause, which Grafana's regex-based macro parsing does not reject. Evaluating the injected macro causes uncontrolled memory consumption that can terminate the Grafana server process, resulting in a denial of service. The Microsoft SQL Server, PostgreSQL, and MySQL data sources are affected.

When SAML IdP-initiated login is enabled in Grafana Enterprise, the SAML library skips validation of the InResponseTo field on all SAML responses, including SP-initiated logins. This removes anti-replay protection, allowing an attacker who obtains a valid signed SAML assertion to replay it and gain a session as the victim user. Only instances with the allow_idp_initiated SAML setting enabled are affected; this setting is off by default and Grafana OSS is not affected.

The Simple Membership MailChimp Integration WordPress plugin before 1.9.8 does not have CSRF checks in its settings page, allowing attackers to trick a logged-in administrator into changing the configured third-party API key. Once replaced, all subsequent member registration data (name, email, membership level) is sent to the attacker-controlled account.

The Xpro Addons WordPress plugin before 1.7.4 does not properly escape some of its widgets' settings before outputting them within HTML attributes, which could allow users with the Contributor role and above to perform Stored Cross-Site Scripting attacks.

The WP Express Checkout WordPress plugin before 2.4.9 does not verify server-side that a payment was actually completed before marking an order as paid, allowing unauthenticated users to forge a completed order without paying.

The All in One SEO WordPress plugin before 5.0.0.1 does not sanitise and escape some content stored in posts before rendering it back in the post editor, which could allow users with the contributor role and above to perform Stored Cross-Site Scripting attacks that trigger when a higher privileged user edits the post.

Incorrect Authorization (CWE-863) in the Kibana machine learning feature can lead to unauthorized resource consumption via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180). An authenticated user could invoke machine learning functionality beyond their authorization scope, consuming cluster resources they should not be able to reach.

The Brave WordPress plugin before 0.8.8 does not prevent a URL parameter used to pre-fill a form field from being passed to WordPress's shortcode engine, allowing unauthenticated attackers to have arbitrary shortcodes registered on the site executed server-side.

Incorrect Authorization (CWE-863) in Elastic Cloud on Kubernetes (ECK) can lead to unauthorized modification of data via Metadata Spoofing (CAPEC-690). An actor holding limited Kubernetes permissions confined to a single namespace could cause attacker-controlled certificate material to be included in the Elasticsearch client trust bundle managed by ECK in a separate namespace.

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') (CWE-22) in Elastic Maps Server can lead to information disclosure via Path Traversal (CAPEC-126). An unauthenticated attacker able to reach the service over the network could cause it to return the contents of files outside its intended content directory that are readable by the server process.

Missing Authorization (CWE-862) in Kibana can lead to information disclosure via Privilege Abuse (CAPEC-122). An authorization control was not applied to a Kibana Entity Store configuration operation, allowing an authenticated user with elevated Kibana privileges to indirectly cause a background task to read from Elasticsearch indices that user is not authorized to access. Derived entity data from those indices is then exposed through the entity store output.

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') (CWE-22) in the Kibana Fleet feature can lead to the unauthorized deletion of internal resources via Path Traversal (CAPEC-126). A low-privileged user holding Fleet write access could cause a subsequent administrative delete action to act on unintended internal resources. Exploitation requires an administrator to interact with the affected Fleet interface.

Incorrect Authorization (CWE-863) in the Kibana machine learning feature can lead to information disclosure via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180). An authenticated user holding machine learning job management privileges within a single Kibana space could cause a job's saved object to become accessible across all spaces in the Kibana instance, without holding access rights to those additional spaces.

Improper Handling of Highly Compressed Data (CWE-409) in APM Server can lead to a persistent denial of service via Excessive Allocation (CAPEC-130). An authenticated user with write access to source map content could store specially crafted, highly compressed content that exhausts the memory available to APM Server when it is later processed, terminating the process. The condition recurs on every restart until the stored content is removed.

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') (CWE-22) in the Kibana Fleet feature can lead to the unauthorized deletion of resources via Path Traversal (CAPEC-126). A low-privileged user could cause a subsequent action taken by a higher-privileged user in the Fleet administration interface to act on an unintended target, resulting in the deletion of resources including accounts with elevated privileges.

Allocation of Resources Without Limits or Throttling (CWE-770) in Filebeat can lead to a denial of service via Excessive Allocation (CAPEC-130). An attacker able to reach the Filebeat HTTP ingestion endpoint could send specially crafted compressed requests that exhaust the memory resources of the Filebeat process.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user with low-level privileges could submit a specially crafted request that causes Kibana to consume an unbounded amount of memory, rendering it unavailable to all users.

Observable Response Discrepancy (CWE-204) in the Kibana Osquery feature can lead to information disclosure via Query System for Information (CAPEC-54). An authenticated user holding Osquery live-query privileges could determine whether a scheduled query identifier exists in a Kibana space they are not authorized to access.