CVE Feed

IBM i 7.6 could allow a remote attacker to cause a denial of service due to an out-of-bounds write.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote authenticated attacker to obtain sensitive information due to an out-of-bounds read.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote authenticated attacker to obtain sensitive information 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 due to the use of uninitialized memory during ASN.1 length processing.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to access server resources with the privileges of an authenticated user due to improper authentication during NTLM session negotiation.

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 out-of-bounds read.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to obtain sensitive information due to an out-of-bounds read.

A weakness has been identified in Tenda CH7, CH7G, CH10, CP3, CP3 Pro, CP7, TC3B14C, TC3B15C, TC3T14C and TC3T15C up to 20260625. This impacts the function CAte::HandleCmd of the file Kylin of the component ATE Module. This manipulation causes command injection. The attack is possible to be carried out remotely.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to obtain sensitive information due to an out-of-bounds read.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service and potentially obtain sensitive information due to a stack-based buffer overflow.

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote authenticated attacker to obtain unauthorized privileges due to improper privilege management.

IBM Documentation Offline 1.0.0 through 1.4.1 IBM Documentation could allow a remote attacker to obtain sensitive information due to a security misconfiguration where the documentation server binds to an unrestricted IP address.

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

IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote authenticated attacker to execute arbitrary code due to an untrusted search path.

IBM i Access Client Solutions 1.1.2.0 through 1.1.9.13 is vulnerable to arbitrary code execution on Windows when installed for all users due to publicly writeable directory.

IBM WebSphere Application Server - Liberty 17.0.0.3 through 26.0.0.8 IBM WebSphere Application Server Liberty is vulnerable to an authentication bypass when the rtcomm-1.0 or rtcommGateway-1.0 feature is enabled.

IBM Storage Scale 5.2.3.0 through 5.2.3.8, and 6.0.0.0 through 6.0.1.0 GUI contains a hardcoded token in the source code, which was used for inter-node cluster communication and REST API authentication between GUI.

IBM Planning Analytics 2.0, and 2.1 Local is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts.

IBM WebSphere Application Server - Liberty 17.0.0.3 through 26.0.0.8 is affected by a denial of service caused by insecure deserialization. A low-privileged, administrative user could exploit this vulnerability to consume system resources when the restConnector-2.0 feature is enabled.

Trigger.dev is a platform for building and deploying fully managed AI agents and workflows. From 3.3.8 until 4.5.6, the PUT /api/v1/runs/:runId/metadata endpoint passes attacker-controlled operation.key values to new JSONHeroPath(operation.key).set(newMetadata, value) in packages/core/src/v3/runMetadata/operations.ts 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. This issue is fixed in version 4.5.6.

compliance-trestle is a tooling platform for managing compliance as code. Prior to versions 3.12.2 and 4.0.3, the compliance-trestle library's profile import mechanism resolves `trestle://` URIs and relative file paths by joining them with `trestle_root` and calling `.resolve()`, but performs no boundary check to ensure the resolved path stays within the trestle workspace. An attacker can craft a malicious OSCAL profile YAML with `imports[].href` containing path traversal sequences to read arbitrary files from the server filesystem. Versions 3.12.3 and 4.0.3 patch the issue.

compliance-trestle is a tooling platform for managing compliance as code. Prior to versiions 3.12.2 and 4.0.3, the compliance-trestle library's remote fetching cache mechanism (HTTPSFetcher and SFTPFetcher) constructs the local cache file path from the URL path component without sanitizing path traversal sequences (`../`). When a remote OSCAL profile references a URL with traversal in its path, the HTTP response body is written to a location outside the intended cache directory, enabling arbitrary file write with attacker-controlled content to the filesystem. Versions 3.12.3 and 4.0.3 patch the issue.

A vulnerability has been found in Calix GigaSpire 26.1.0. The affected element is an unknown function of the file traceroute.cmd. The manipulation leads to denial of service. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used. The presence of this vulnerability remains uncertain at this time. The vendor explains: "After reviewing the researcher's videos, we repeated the test using his described setup: the traceroute cancel request was sent while a second client was connected to the EWI. The second client remained connected and was not interrupted, and we did not observe a forced logout, session invalidation, or loss of EWI availability."

WsgiDAV is a generic and extendable WebDAV server based on WSGI. WsgiDAV 4.3.3 and prior can allow a WebDAV request path containing an encoded parent-directory segment to escape the configured filesystem share root in a specific path layout. The issue is fixed with version 4.3.4.

Uncaught Exception (CWE-248) in Kibana Cases can lead to denial of service via Input Data Manipulation (CAPEC-153). Malformed link syntax stored in a case comment was not rejected or sanitized when the comment was later formatted for display, and the resulting unhandled error prevented the affected case from being displayed. An authenticated user holding privileges to comment on a case could store such a comment, after which that case became inaccessible to every user who opened it until the stored comment was removed.

Uncontrolled Recursion (CWE-674) in the Elasticsearch wildcard matching helper can lead to a denial of service via Excessive Allocation (CAPEC-130). The matcher used to resolve wildcard patterns against names is implemented recursively and had no bound on recursion depth or on the total number of match operations performed. A search request containing a wildcard pattern with a large number of wildcard groups, evaluated against a sufficiently long name, exhausts the thread stack. Elasticsearch treats a stack overflow as an unrecoverable condition and shuts the node down, so the request terminates the affected node rather than failing gracefully.

Observable Discrepancy (CWE-203) in Kibana Fleet can lead to information disclosure via Excavation (CAPEC-116). Fleet removes the Elasticsearch API key value of an enrolled Elastic Agent from the responses of its agent listing capability, but that capability accepted caller-supplied filter expressions over the stored field that holds the value, and evaluated them with Kibana's own internal Elasticsearch privileges rather than the caller's. Because the number of matching agents is reported back to the caller, the difference between a matching and a non-matching filter formed a side channel from which the full API key value could be reconstructed one character at a time with a short sequence of requests.

Improper Privilege Management (CWE-269) in Kibana Fleet can lead to privilege escalation via Privilege Escalation (CAPEC-233). An integration policy may optionally declare extra data streams that the integration writes to, which Fleet adds to the Elasticsearch API key issued to Elastic Agents enrolled in the corresponding agent policy. The resulting key allows new documents to be inserted and index mappings to be extended for specific indices. The key does not allow reading, updating, or deleting existing documents

Incorrect Authorization (CWE-863) in Kibana Fleet can lead to privilege escalation via Privilege Abuse (CAPEC-122). Fleet restricts some callers to managing integration policies for one specific integration. When an existing integration policy was updated, that restriction was evaluated against the integration recorded on the stored policy rather than against the replacement integration supplied with the update. An authenticated user holding only the Elastic Defend endpoint policy management privilege was therefore able to convert an endpoint policy they administer into a policy for a different integration, and to supply that integration's configuration at the same time.

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). The result is disclosure of inference output from a trained model in a different space that the user is not authorized to list, read, or use, which exposes the behavior of a model. The same pattern also reached the deployment stop and deployment update operations, allowing an active trained model deployment in another space to be stopped or to have its allocated resources altered.

Kibana Agent Builder determines whether a caller owns a private agent by comparing a stable user identifier when one is recorded, and falling back to a comparison of the username when it is not. A username is not unique across Elasticsearch authentication realms, so two distinct principals that share a username in different realms are treated as the same owner. This discloses the configuration and instructions of an agent the caller does not own, and allows that agent to be altered or removed.

The native inference process that Elasticsearch uses to evaluate uploaded machine learning models accepts a model operation that computes a memory address from an offset supplied inside the model, without validating that the offset stays within the bounds of the underlying storage. A user with the privileges required to upload and deploy a trained model can craft a model that reads and writes memory outside the intended allocation. The result is heap corruption that crashes the inference process, and, with sufficient control over the heap layout, could allow arbitrary code execution in the context of that process.

The Elastic Cloud on Kubernetes (ECK) operator reads a list of secret references from an annotation on secrets it manages, and it accepts the namespace recorded in each reference without validating that the reference is authorized for the resource being reconciled. A user whose Kubernetes permissions are limited to their own namespace can write that annotation, trigger a reconcile, and cause the operator to use its cluster-wide secret permissions to copy the contents of a secret from any other namespace into a secret the user can read.

Elasticsearch does not enforce an upper bound on a user-supplied count accepted by a search highlighting option, and the allocation derived from that count is not accounted against any circuit breaker. An authenticated user holding only read privileges on a single searchable index can submit one small search request that causes the node to reserve an excessively large internal data structure. The allocation occurs before the existing highlighting safety limits are evaluated, so memory exhaustion raises a fatal error that terminates the Elasticsearch node process. This results in a denial of service for the affected node and degrades cluster routing and health. The defect is not volumetric and does not depend on the size of the indexed data, so a single request is sufficient.

Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via Input Data Manipulation (CAPEC-153). An authenticated user holding only low-privileged index creation permissions can submit a single request containing a specially crafted, malformed custom analysis definition that is resolved recursively without a cycle or depth check, exhausting the thread stack and terminating the affected node.

Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via Serialized Data with Nested Payloads (CAPEC-230). An authenticated user holding only read privileges on a single index can submit one specially crafted search request whose deeply nested structure is processed without a depth limit, exhausting the thread stack and terminating the affected node.

Memory Allocation with Excessive Size Value (CWE-789) in Elasticsearch can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user holding only read privileges on a single index can submit one small, specially crafted search request that causes an excessively large memory allocation, exhausting the JVM heap and terminating the affected node.

Cleartext Storage of Sensitive Information in an Environment Variable (CWE-526) in Elastic Cloud on Kubernetes (ECK) can lead to information disclosure via Retrieve Embedded Sensitive Data (CAPEC-37). When ECK reconciles a Fleet Server resource that authenticates to Elasticsearch with a service account token, the token is written into the generated workload specification in cleartext rather than being referenced from the Kubernetes Secret that ECK maintains for the other credentials on the same path. Any principal able to read workload specifications in the affected namespace can therefore read a live Elasticsearch credential, even when Kubernetes RBAC does not grant that principal access to Secrets.

Authorization Bypass Through User-Controlled Key (CWE-639) in Fleet Server can lead to information disclosure via Manipulating User-Controlled Variables (CAPEC-77). The authorization decision for artifact downloads relied on a client-supplied value that was persisted without being validated against the server-side record of the requesting agent's assignment. An authenticated party in possession of a valid enrolled agent credential could therefore retrieve a policy the agent is not assigned to.

Memory Allocation with Excessive Size Value (CWE-789) in the ES|QL query processing of Elasticsearch can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user able to submit ES|QL queries could send a specially crafted query whose evaluation allocates an unbounded amount of heap memory, exhausting the available heap on the receiving node and causing the node to become unavailable.

Improperly Controlled Modification of Dynamically-Determined Object Attributes (CWE-915) in the case management functionality of Elastic Security in Kibana can lead to unauthorized modification of case data by an authenticated user who has not been granted case editing privileges, via Manipulating User-Controlled Variables (CAPEC-77). Object attributes accepted by the case management API were not subject to the same authorization enforcement applied in the user interface, so a low-privileged user could alter case records they were only entitled to view.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user who is authorized to manage maintenance windows could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. Kibana becomes unresponsive for all users and does not recover without manual intervention.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with read-only privileges to the alerting feature could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. A single request is sufficient to leave Kibana unable to serve requests for all users until the process is restarted.

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user who is authorized to read alerting rules in a single Kibana space could retrieve alerting rule execution telemetry that belongs to spaces the user is not authorized to access. The disclosed telemetry includes rule identifiers, rule names, space identifiers, execution outcomes, timestamps, and execution counters.

An undocumented hard-coded credential, shared by all device units, is authorized to bypass authentication. This allows an attacker within Bluetooth range to arbitrarily manipulate brain stimulation parameters and state.

Inefficient Algorithmic Complexity (CWE-407) in Kibana can lead to denial of service via Input Data Manipulation (CAPEC-153). A specially crafted, deeply nested expression submitted to a Kibana TSVB visualization is evaluated with a worst-case cost that grows disproportionately with the size of the input. Because the evaluation runs synchronously, a single request consumes the Kibana request-processing thread indefinitely, and Kibana stops responding to all further requests until the service is restarted.

Missing Authorization (CWE-862) in Kibana can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An internal Kibana data retrieval capability used by Elastic Defend endpoint response actions did not enforce the Security Solution and endpoint privileges that its user-facing equivalents require, and it retrieved data with elevated internal permissions rather than the permissions of the requesting user. As a result, an authenticated low-privileged Kibana user with no Security Solution privileges, endpoint privileges and no Elasticsearch privileges on the underlying data, could read endpoint response action records and the corresponding response content returned by managed hosts.

Uncaught Exception (CWE-248), resulting from Improper Input Validation (CWE-20), in Kibana can lead to denial of service via Input Data Manipulation (CAPEC-153). An authenticated user holding only low-privileged access can cause an internal error condition in Kibana by supplying specially crafted data. The resulting error is raised on an execution path so it propagates as an uncaught exception and terminates the Kibana process. Kibana is unavailable to all users until the service is restarted, and the condition can be triggered repeatedly.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A specially crafted, malformed payload submitted to a Kibana visualization feature by an authenticated user holding only low-privileged access is not correctly validated before use. Processing the request causes unbounded memory growth in the Kibana process, which is terminated by the host once available memory is exhausted. Kibana then becomes unavailable to all users until the service is restarted.

Cross-Site Request Forgery (CWE-352) in Kibana can lead to privilege escalation via Cross Site Request Forgery (CAPEC-62). A user who is permitted to create visualizations can save a specially crafted Vega visualization that, when it is opened by another user, causes authenticated requests to be issued to Kibana in the context of the viewing user's session.