Openshift Ai vulnerabilities
10 known vulnerabilities in Openshift Ai from Red Hat. 9 are rated high or critical, and 2 have been exploited in real attacks. Each entry lists the affected versions and the release that fixes it, where the vendor has published one.
Latest first
- 9.1 Critical severity
GLib: Integer Underflow (Wrap or Wraparound)
A flaw was found in GLib. A state confusion issue exists in g_dbus_node_info_new_for_xml() in the gio/gdbusintrospection.c file when processing malformed D-Bus introspection XML, specifically with a `node` element nested within other elements like `method`, `s
- 7.5 High severity
Traefik: Uncontrolled Resource Consumption
Traefik before 2.10.5 and 3.0.0-beta4 is affected by a denial-of-service vulnerability in HTTP/2 request handling inherited from the Go standard library's HTTP/2 implementation (CVE-2023-44487 / CVE-2023-39325, the 'Rapid Reset' technique). A remote attacker c
- 7.5 High severity
js-cookie: Improperly Controlled Modification of Object Prototype Attributes
JavaScript Cookie is a JavaScript API for handling cookies, client-side. Prior to version 3.0.7, js-cookie's internal assign() helper copies properties with for...in + plain assignment. When the source object is produced by JSON.parse, the JSON object's "__pro
- 6.5 Medium severity
Kludex Starlette HTTP Request/Response Smuggling Exploited
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
- 8.8 High severity
BerriAI LiteLLM Command Injection Exploited
LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. From version 1.74.2 to before version 1.83.7, two endpoints used to preview an MCP server before saving it — POST /mcp-rest/test/connection and POST /mcp-rest/test/tools/list
- 7.8 High severity
keras-team/keras: Deserialization of Untrusted Data
A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `saf
- 9.9 Critical severity
Red Hat OpenShift AI 2.16: Insertion of Sensitive Information Into Sent Data
A flaw was found in odh-dashboard in Red Hat Openshift AI. This vulnerability in the `odh-dashboard` component of Red Hat OpenShift AI (RHOAI) allows for the disclosure of Kubernetes Service Account tokens through a NodeJS endpoint. This could enable an attack
- 8.1 High severity
Red Hat OpenShift AI 2.25: Improper Isolation or Compartmentalization
A flaw was found in Red Hat OpenShift AI (RHOAI) llama-stack-operator. This vulnerability allows unauthorized access to Llama Stack services deployed in other namespaces via direct network requests, because no NetworkPolicy restricts access to the llama-stack
- 7.8 High severity
Red Hat Enterprise Linux 10: Integer Overflow or Wraparound
A flaw was found in the libtiff library. A remote attacker could exploit a signed integer overflow vulnerability in the putcontig8bitYCbCr44tile function by providing a specially crafted TIFF file. This flaw can lead to an out-of-bounds heap write due to incor
- 8.8 High severity
RHOAI-2.14-RHEL-8: Authentication Bypass by Primary Weakness
A vulnerability was found in OpenShift AI that allows for authentication bypass and privilege escalation across models within the same namespace. When deploying AI models, the UI provides the option to protect models with authentication. However, credentials f