| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A flaw was found in the UMA resource registration endpoint of the keycloak-services component, which provides the core logic for Keycloak's authorization and identity services. The issue occurs when remote resource management is enabled, allowing an authenticated user with specific permissions to update resources they do not own by providing a target resource ID in a request. This can lead to unauthorized modification of resource configurations, such as names, URIs, and scopes. |
| Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.5.1, the `_read_flow` helper in `src/backend/base/langflow/api/v1/flows.py` branched on the `AUTO_LOGIN` setting to decide whether to filter by `user_id`. When `AUTO_LOGIN` was `False` (i.e., authentication was enabled), neither branch enforced an ownership check — the query returned any flow matching the given UUID regardless of who owned it. This allowed any authenticated user to read any other user's flow, including embedded plaintext API keys; modify the logic of another user's AI agents, and/or delete flows belonging to other users. The vulnerability was introduced by the conditional logic that was meant to accommodate public/example flows (those with `user_id = NULL`) under auto-login mode, but inadvertently left the authenticated path without an ownership filter. The fix in version 1.5.1 removes the `AUTO_LOGIN` conditional entirely and unconditionally scopes the query to the requesting user. |
| A vulnerability in the API of Cisco Unified Intelligence Center could allow an authenticated, remote attacker to perform a horizontal privilege escalation attack on an affected system.
This vulnerability is due to insufficient validation of user-supplied parameters in API requests. An attacker could exploit this vulnerability by submitting crafted API requests to an affected system to execute an insecure direct object reference attack. A successful exploit could allow the attacker to access specific data that is associated with different users on the affected system. |
| Skuul School Management System through version 2.6.5 is vulnerable to incorrect access control in the ResultChecker::checkResult method. An authenticated student can manipulate the studentId parameter to retrieve another student's examination results, including examination marks, without authorization. |
| The actions linked in the emails of the extension (e.g. to confirm a registration or the deletion of an account) do not reject requests with a missing or invalid hash. Instead, the frontend user given in the request is used. Unauthenticated attackers can therefore perform these actions for arbitrary active frontend users. This allows them to retrieve the email address or username of all frontend users and to delete arbitrary frontend user accounts. |
| The click tracking middleware does not validate the authentication code of a recipient if the code is omitted. Unauthenticated attackers can retrieve personal data of newsletter recipients, which is inserted into links of sent mails. |
| Munshi (by Petpooja) before 2026-07-28 contained a broken object level authorization vulnerability that allows authenticated sub-users to delete invoices belonging to the tenant owner by exploiting the DELETE /api/invoice/{invoice_id} and POST /api/invoices/bulk-delete endpoints, which only verify tenant membership without enforcing object-level ownership or permission checks. Attackers can invoke single or bulk deletion requests with arbitrary invoice identifiers to delete invoices they do not own, resulting in unauthorized data loss. |
| 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 with read access to connectors in one Kibana space can retrieve connector execution log information from other spaces that they are not authorized to access. The disclosed information includes connector names and identifiers, execution status, timestamps, error messages, and aggregated execution statistics. |
| Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana Machine Learning can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user with Machine Learning read access in one Kibana space can read the audit and error messages of data frame analytics jobs that belong to other spaces that the user is not authorized to access. These messages can include job details such as destination index names, analyzed field names, and failure information. |
| Authorization Bypass Through User-Controlled Key vulnerability in team-alembic ash_authentication allows a user with an account to install a TOTP secret they control on another user's account, and then sign in as that user or hold their second factor.
AshAuthentication.Strategy.Totp.ConfirmSetupChange verified a setup token but did not check that it was issued to the record being confirmed, so an attacker's own pending secret could be confirmed onto another user's record. The TOTP setup changes, ConfirmSetupChange, GeneratePendingSetupChange and GenerateSecretChange, also marked their changesets as AshAuthentication interactions, which the standard AshAuthenticationInteraction policy bypass lets through. A policy limiting setup and confirm_setup to the actor's own record therefore never ran when an application exposed those actions by record key, and a direct setup call on another user's record returned that user's pending secret and setup token.
This issue affects ash_authentication: from 5.0.0-rc.0 before 5.0.0-rc.16. |
| FastBee through 2.1.0 contains an insecure direct object reference vulnerability in ProductController that allows authenticated tenant users to access other tenants' products by supplying their product IDs. Attackers can enumerate sequential product IDs to read MQTT account, password, and secret values, overwrite product configuration including tenant_id, or delete products with cascading rows. |
| Homestay3 homestay-backend 0.0.1-SNAPSHOT contains an IDOR in ChatServiceImpl. An authenticated user can view conversations, read messages, send messages, and mark messages as read for arbitrary conversation ids because the service does not verify that the caller is a conversation participant. |
| Coop is an open source review and moderation tool from ROOST. Prior to 1.0.2, `addAccessibleQueuesForUser` and `removeAccessibleQueuesForUser` accepted arbitrary `queueId` and `userId` values without organization scoping. An authenticated user belonging to one organization and holding MRT queue-edit permission could grant or revoke another organization's users' access to manual review queues. The existing queue-edit permission check did not bind the supplied identifiers to the caller's organization. The attacker could not read the other organization's queues or jobs, so this issue did not disclose confidential data. This issue is fixed in version 1.0.2. |
| Nexterm through 1.2.2-BETA contains a missing authorization vulnerability that allows authenticated users to hibernate, resume, or terminate other users' remote sessions via session lifecycle routes. Attackers who obtain a session ID can call the hibernate, resume, or DELETE connection endpoints to disrupt live SSH, RDP, VNC, or SFTP sessions. |
| Chatify before 1.6.4 contains an authorization bypass vulnerability in the Pusher channel authorization endpoint that allows authenticated users to subscribe to other users' private channels by supplying arbitrary channel names. Attackers can request a signature for private-chatify.<victim id> via POST /chat/auth to receive the victim's incoming private messages and attachments in real time. |
| Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. From 0.5.1 until 2.17.0, the frontend artifact routes did not check whether an authenticated user was authorized to access the requested namespace. A user who can reach the frontend and knows an artifact location can select another tenant's namespace, or omit the namespace and reach an unguarded direct handler, to read artifact contents such as datasets, models, or pipeline outputs. The issue applies to multi-user deployments that rely on Kubeflow Pipelines authorization for tenant isolation. Authentication at ingress identifies the caller but does not authorize access to the selected artifact namespace. The issue does not establish arbitrary Kubernetes Secret disclosure, storage modification, or server-side code execution. This issue is fixed in version 2.17.0. |
| IBM Langflow OSS 1.0.0 through 1.12.4 contains three message endpoints that perform no ownership verification. Any authenticated user can bulk-delete another user's messages, overwrite message content to inject malicious prompts, or hijack an entire conversation session by reassigning its session ID. |
| PrestaShop psgdpr versions through 1.4.3 fail to validate that GDPR consent log entries are attributed to the authenticated customer. Authenticated attackers can submit arbitrary customer identifiers to create forged consent records for other customers, corrupting audit logs. |
| Traefik 3.7.11 before 3.7.15 contains an authorization bypass in the Kubernetes Ingress NGINX provider that skips the cross-namespace check on the auth-tls-secret annotation when a cached client authentication TLS option is reused. Users who can create Ingresses can reference another namespace's CA secret already used by another Ingress, enforcing it on their own routes and learning whether it exists, without disclosure of its contents. |
| A flaw was found in ai-gateway-payload-processing. An authenticated remote attacker can exploit this vulnerability by submitting a request specifying another tenant's model identifier in the request body or header. Because the service does not verify authorization before retrieving credentials from the shared store, it injects the target tenant's application programming interface (API) keys into the request. This flaw allows an attacker to perform unauthorized requests and consume another tenant's large language model (LLM) resources and quotas. |
