CVE Vulnerability Catalog
Translated CVE descriptions from NVD NIST - in English
CISA KEV catalog updated: (v2026.08.21)
Weekly CVE digest
One email a week with newly published vulnerabilities worth knowing about. No account needed.
This digest covers new vulnerabilities in general, not your servers. If you want to know which of them actually run in your infrastructure, that is what Secvalis does: it scans your machines and reports only what concerns them.
IBM Documentation Offline versions 1.0.0 through 1.4.1 could allow a remote attacker to forge valid session tokens due to the use of a hardcoded cryptographic key.
IBM i versions 7.6, 7.5, 7.4, and 7.3 could allow a local attacker to obtain sensitive information or modify data due to improper privilege management.
IBM i versions 7.6, 7.5, 7.4, and 7.3 could allow a remote authenticated attacker to obtain sensitive information or cause a denial of service due to an out-of-bounds read.
IBM i versions 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to an integer error when processing DRDA large-object headers.
IBM i versions 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 versions 7.6, 7.5, 7.4, and 7.3 could allow a remote authenticated attacker to obtain sensitive information due to a path traversal vulnerability.
IBM i versions 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to resource exhaustion.
IBM i versions 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 an uninitialized variable.
IBM i versions 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to improper processing of DRDA and DDM resynchronization requests.
IBM i versions 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to obtain sensitive information and perform unauthorized operations due to improper validation of authentication tokens.
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.
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.

