Vulnerabilities
112 CVEs · NVD, GitHub Advisories, CISA KEV, FIRST EPSS, GitHub PoC repos
| CVE | Vulnerability | CVSS | EPSS | Flags | Affected | Exposure | Published |
|---|---|---|---|---|---|---|---|
| CVE-2026-72665 | Missing Authorization (CWE-862) in Kibana can lead to unauthorized execution of Osquery and Elastic Defend response actions on managed hosts via Accessing Funct 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. NVD description · AI analysis pending | 8.1 group max | <1% |
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| CVE-2026-72657 | Authorization Bypass Through User-Controlled Key (CWE-639) in Fleet Server can lead to information disclosure via Manipulating User-Controlled Variables (CAPEC- 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. NVD description · AI analysis pending | 6.5 | <1% |
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| CVE-2026-72642 | The native inference process that Elasticsearch uses to evaluate uploaded machine learning models accepts a model operation that computes a memory address from 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. NVD description · AI analysis pending | 8.8 group max | <1% |
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| CVE-2026-72648 +1 in the same advisory: …72640 | Cleartext Storage of Sensitive Information in an Environment Variable (CWE-526) in Elastic Cloud on Kubernetes (ECK) can lead to information disclosure via Retr 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. NVD description · AI analysis pending | 6.5 | <1% |
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| CVE-2026-63263 | Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to denial of service via Exponential Data Expansion (CAPEC-197). Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to denial of service via Exponential Data Expansion (CAPEC-197). An authenticated user may submit a specially crafted query to the ES|QL engine that causes exponential CPU consumption during query evaluation. Because the resource exhaustion persists beyond query completion, repeated requests can fully exhaust the available query worker resources, rendering ES|QL queries unavailable until the node is restarted. NVD description · AI analysis pending | 6.5 | <1% |
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| CVE-2026-63262 | Missing Authorization (CWE-862) in Kibana can lead to unauthorized cross-space information disclosure via user-supplied input that circumvents space-level acces Missing Authorization (CWE-862) in Kibana can lead to unauthorized cross-space information disclosure via user-supplied input that circumvents space-level access control. NVD description · AI analysis pending | 4.3 | <1% |
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| CVE-2026-56147 | Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized information disclosure and case attachment integrity compromise vi Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized information disclosure and case attachment integrity compromise via Privilege Abuse (CAPEC-122). An inconsistency in Kibana's file access authorization logic allows a low-privileged authenticated user to retrieve, modify, and delete case attachments that belong to feature areas they are not authorized to access. Because the access control check and the resource retrieval use different resolution mechanisms, an authenticated attacker with limited file management permissions can obtain the contents of, modify, or delete protected case attachments — such as those associated with Security Solution cases — without holding the privileges required to access those features. NVD description · AI analysis pending | 7.1 group max | <1% |
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| CVE-2026-56145 | Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to denial of service via Excessive Allocation (CAPEC-130). Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user with permission to execute EQL sequence queries against an index they control can send a specially crafted query that triggers excessive memory consumption, causing the Elasticsearch node to crash. NVD description · AI analysis pending | 6.5 | <1% |
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