Insufficient Granularity of Access Control

A flaw was found in the Fine-Grained Admin Permissions (FGAP) v2 implementation within Keycloak's administrative services. When FGAP v2 is enabled, the system fails to properly filter child groups based on the caller's specific permissions when requested through a parent group. This allows a delegated administrator to view details of child groups they are not authorized to access directly, including group names, paths, and custom attributes.Show less

A flaw was found in org.keycloak.services. An administrator with delegated access to read group memberships and users can bypass user profile permissions by accessing the group members endpoint. This allows the administrator to view user attributes that are explicitly configured to be denied, leading to information disclosure.Show less

Insufficient granularity of access control in ASP (AMD Secure Processor) may allow an attacker with an untrusted user space application to map sensitive SMN (System Management Network) apertures leading to a potential escalation of privileges.Show less

A vulnerability in MLflow versions <=3.10.1.dev0 allows unauthorized access to multipart upload (MPU) endpoints when the `--serve-artifacts` mode is enabled. The authorization logic does not enforce resource-level permission checks for `/mlflow-artifacts/mpu/*` endpoints, enabling attackers to overwrite artifacts belonging to other users. This can lead to unauthorized cross-user writes, model supply chain poisoning, and arbitrary code execution when compromised models are loaded. The issue is resolved in version 3.10.0.Show less

A flaw was found in Keycloak. A broken access control vulnerability in the Account Resources user lookup endpoint allows a remote authenticated user, who owns at least one User-Managed Access (UMA) resource, to enumerate and harvest personally identifiable information (PII) for all realm users. By sending crafted requests with arbitrary usernames or email values, the endpoint returns full profile objects for unrelated users. This leads to broad profile-level information disclosure.Show less

Improper isolation of shared resources within the CPU operation cache on Zen 2-based products could allow an attacker to corrupt instructions executed at a different privilege level, potentially resulting in privilege escalation.Show less

When using Google Secrets Manager as a backend for the Spring Cloud Config server a client can craft a request to the config server potentially exposing secrets from unintended GCP projects. Spring Cloud Config 3.1.x: affected from 3.1.0 through 3.1.13 (inclusive); upgrade to 3.1.14 or greater (Enterprise Support Only). Spring Cloud Config 4.1.x: affected from 4.1.0 through 4.1.9 (inclusive); upgrade to 4.1.10 or greater (Enterprise Support Only). Spring Cloud Config 4.2.x: affected from 4.2.0 through 4.2.6 (inclusive); upgrade to 4.2.7 or greater (Enterprise Support Only). Spring Cloud Config 4.3.x: affected from 4.3.0 through 4.3.2 (inclusive); upgrade to 4.3.3 or greater. Spring Cloud Config 5.0.x: affected from 5.0.0 through 5.0.2 (inclusive); upgrade to 5.0.3 or greater.Show less

Kata Containers is an open source project focusing on a standard implementation of lightweight Virtual Machines (VMs) that perform like containers. From v3.4.0 to v3.28.0, an oversight in the CopyFile policy (and perhaps the CopyFile handler) allows untrusted hosts to write to arbitrary locations inside the guest workload image. This can be used to overwrite binaries inside the guest and exfiltrate data from containers; even those running inside CVMs. This vulnerability is fixed in v3.29.0.Show less

The asset dependency graph did not restrict nodes by the viewer's DAG read permissions: a user with read access to at least one DAG could browse the asset graph for any other asset in the deployment and learn the existence and names of DAGs and assets outside their authorized scope. Users are recommended to upgrade to version 3.2.1, which fixes this issue.Show less

The authenticated /ui/dags endpoint did not enforce per-DAG access control on embedded Human-in-the-Loop (HITL) and TaskInstance records: a logged-in Airflow user with read access to at least one DAG could retrieve HITL prompts (including their request parameters) and full TaskInstance details for DAGs outside their authorized scope. Because HITL prompts and TaskInstance fields routinely carry operator parameters and free-form context attached to a task, the leak widens visibility of DAG-run data beyond the intended per-DAG RBAC boundary for every authenticated user. Users are recommended to upgrade to version 3.2.1 , which fixes this issue.Show less