| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift is vulnerable to RAG poisoning via unauthenticated runbook upsert (CWE-74) in the FTM AI agent server (api.vectordb.runbooks.js:51). An unauthenticated attacker can insert malicious runbook content into the agent's vector database to steer AI-driven MCP tool calls, potentially triggering unauthorized payment actions or exfiltrating payment data. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift could allow a local attacker to achieve privilege escalation within the container due to improper privilege management. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift could allow a remote attacker to manipulate database queries due to improper neutralization of special elements in a boolean expression. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift is vulnerable to missing authentication on the Business Rules Manager commands REST endpoint (`CommandsResource.java:31`). A local actor can invoke unauthenticated commands to cause resource exhaustionand halt business-rule management functions. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift could allow a remote authenticated attacker to falsify transaction audit logs due to improper validation of a client-supplied HTTP header. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift could allow a remote attacker to execute arbitrary code due to improper neutralization of user-controlled input within the new Function constructor. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift could allow a remote attacker to execute arbitrary code due to improper deserialization of untrusted data. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift could allow a remote authenticated attacker to obtain sensitive information due to improper validation of symbolic links. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift could allow a remote attacker to cause a denial of service due to allocation of resources without limits or throttling. |
| CNCF Envoy through 1.13.0 may consume excessive amounts of memory when proxying HTTP/1.1 requests or responses with many small (i.e. 1 byte) chunks. |
| CNCF Envoy through 1.13.0 may consume excessive amounts of memory when responding internally to pipelined requests. |
| An out-of-memory flaw was found in libtiff that could be triggered by passing a crafted tiff file to the TIFFRasterScanlineSize64() API. This flaw allows a remote attacker to cause a denial of service via a crafted input with a size smaller than 379 KB. |
| Starlette is a lightweight ASGI framework/toolkit. Prior to version 1.0.1, the HTTP `Host` request header was not validated before being used to reconstruct `request.url`. Because the routing algorithm relies on the raw HTTP path while `request.url` is rebuilt from the `Host` header, a malformed header could make `request.url.path` differ from the path that was actually requested. Middleware and endpoints that apply security restrictions based on `request.url` (rather than the raw `scope` path) could therefore be bypassed. Users should upgrade to a version greater than or equal to version 1.0.1, which validates the `Host` header against the grammar of RFC 9112 §3.2 / RFC 3986 §3.2.2 when constructing `request.url` and falls back to `scope["server"]` for malformed values. |
| A flaw was found in openshift/console. An unauthenticated remote attacker can exploit a misconfiguration in the CatalogdHandler, which lacks proper authentication, and the forwarding of the `openshift-session-token` cookie. This allows the attacker to send requests to the in-cluster catalogd service, leading to the disclosure of the internal operator-catalog index and providing a relay into the openshift-catalogd namespace. |
| The Route OpenShift resource allows to define routes to make pods reachable at a subdomain through HAProxy. It was found that the checks performed on the spec.path YAML stanza in a Route document was insufficient and could allow a controlled injection of the HAProxy configuration. |
| An OS command injection flaw was found in the set_hostname_internal function of NooBaa's cluster_internal_api. This component is responsible for managing the Multi-Cloud Object Gateway in OpenShift Data Foundation. The vulnerability occurs because the hostname parameter is passed directly to a shell command without proper sanitization. An authenticated attacker with administrative privileges can provide a specially crafted hostname containing shell metacharacters to execute arbitrary commands on the host system with the privileges of the NooBaa process. |
| A flaw was found in `guardrails-detectors`, a component of Red Hat OpenShift AI. This vulnerability, known as Regular Expression Denial of Service (ReDoS), allows a remote attacker to provide specially crafted regular expressions to the public detection API. This can cause catastrophic backtracking, leading to a worker process consuming 100% CPU indefinitely and resulting in a denial of service for the entire guardrails-mediated LLM pipeline. |
| A flaw was found in the Red Hat OpenShift AI (RHOAI) overlay for the training operator. The RHOAI overlay incorrectly aggregates `trainjobs` management permissions into the native Kubernetes `edit ClusterRole`. This allows any user with `edit ClusterRole` permissions in a namespace to create, modify, and delete `TrainJobs`. When combined with a separate vulnerability (TRN-01) that permits arbitrary pod configurations, a remote attacker with namespace editor privileges could exploit this to escalate privileges, potentially leading to arbitrary code execution. |
| A flaw was found in odh-dashboard, the web console component of Red Hat OpenShift AI (RHOAI). Due to incorrect network binding, a malicious actor within the cluster can bypass authentication and impersonate any user by providing an arbitrary access token. This allows an attacker to gain unauthorized access to the Kubernetes API, potentially leading to arbitrary code execution, privilege escalation, or information disclosure. |
| A flaw was found in the `guardrails-detectors` component. This vulnerability allows a remote attacker to perform a blind Server-Side Request Forgery (SSRF) by submitting a specially crafted XML Schema Definition (XSD) string. This can lead to unauthorized access to sensitive information, including credentials from cloud metadata services, Kubernetes API, internal MinIO, and other internal network endpoints. Additionally, it enables local file reads of critical data such as service account tokens and pod secrets. |
