CVE-2026-65601
Traefik versions 3.7.0 through 3.7.6 contain a namespace confusion vulnerability in the Kubernetes Gateway API provider. When resolving HTTP
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KEV
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Exploit Today
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0-100
Published: Jul 22, 2026 · Last modified: Jul 22, 2026 · CWE-863
Not enough EPSS history yet.
Traefik versions 3.7.0 through 3.7.6 contain a namespace confusion vulnerability in the Kubernetes Gateway API provider. When resolving HTTPRoute.spec.rules[].backendRefs[].filters[].extensionRef, Traefik used the backend Service namespace instead of the HTTPRoute namespace. A low-privileged route author holding a ReferenceGrant for a cross-namespace Service could therefore bind a Traefik Middleware from the backend namespace without a separate grant for that middleware, potentially injecting trusted reverse-proxy identity headers into downstream requests. The issue is fixed in version 3.7.7.
CVECVSSEPSSKEVRExploitTitleMod.
CVE-2026-65602——
———Traefik 3.6.0 through 3.6.22 and 3.7.0 through 3.7.6 fail to enforce the crossProviderNamespaces allowlist for IngressRouteTCP service serversTransport references (the allowlist was only enforced for HTTP serversTransport references). A low-privileged Kubernetes user in a namespace not listed in crossProviderNamespaces can set serversTransport: foo@file on an IngressRouteTCP service, causing Traefik to accept the forbidden cross-provider reference and use a file-provider TCPServersTransport — including privileged backend mTLS client certificates, SPIFFE identity, or PROXY-protocol settings. This is fixed in 3.6.23 and 3.7.7.7hCVE-2026-65596——
———n8n before 1.123.64, 2.29.8, and 2.30.1 fails to enforce the "Allowed HTTP Request Domains" restriction on HTTP-based credentials (Header Auth, Basic Auth, Query Auth, OAuth) in the GraphQL node, unlike the HTTP Request node. An authenticated user able to create or edit workflows can point the node's endpoint at a server they control and exfiltrate restricted credentials. Only instances where a credential has "Allowed HTTP Request Domains" configured and is usable by non-owner users are affected.7hCVE-2026-65594——
———n8n before 2.29.8 and 2.30.x before 2.30.1 (affected from 2.27.0, when the OAuth 2.1 consent and token-issuance flow was introduced) does not verify that the authenticated user has access to the workflow referenced as the OAuth resource. On instances with at least one active MCP Server Trigger workflow configured with n8n OAuth2 authentication, a member-level user can register an OAuth client, self-approve consent for another user's workflow, and obtain a valid token. The workflow then runs in the owner's project context with the owner's stored credentials, and the attacker can set tool inputs and read outputs (potentially including data from the owner's connected integrations), breaking user and project isolation.7hCVE-2026-65015——
———n8n versions before 2.30.1 contain a privilege escalation vulnerability in the AI Agents feature where the node-execution tool lacks proper authorization checks. A Project Viewer user can escalate privileges by chatting with an agent that has node tools enabled, executing arbitrary nodes and accessing credential secrets without proper authorization verification.7hCVE-2026-631454.3 MED—
——0Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1).
A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.9hCVE-2026-631425.0 MED—
——0Incomplete List of Disallowed Inputs (CWE-184) in Kibana can allow an authenticated attacker with access to the Reporting feature to bypass outbound request restrictions configured by an administrator, causing the reporting service to send requests to network destinations that should be denied by the configured security policy.9h