Kubernetes kube-controller-manager SSRF via Portworx StorageClass
CVE-2025-13281 Published on December 14, 2025

Portworx Half-Blind SSRF in kube-controller-manager
A half-blind Server Side Request Forgery (SSRF) vulnerability exists in kube-controller-manager when using the in-tree Portworx StorageClass. This vulnerability allows authorized users to leak arbitrary information from unprotected endpoints in the control planes host network (including link-local or loopback services).

NVD

Vulnerability Analysis

CVE-2025-13281 can be exploited with network access, and requires user privileges. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
HIGH
User Interaction:
NONE
Scope:
CHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
NONE

Weakness Type

What is a SSRF Vulnerability?

The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. By providing URLs to unexpected hosts or ports, attackers can make it appear that the server is sending the request, possibly bypassing access controls such as firewalls that prevent the attackers from accessing the URLs directly. The server can be used as a proxy to conduct port scanning of hosts in internal networks, use other URLs such as that can access documents on the system (using file://), or use other protocols such as gopher:// or tftp://, which may provide greater control over the contents of requests.

CVE-2025-13281 has been classified to as a SSRF vulnerability or weakness.


Products Associated with CVE-2025-13281

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Affected Versions

Kubernetes:

Exploit Probability

EPSS
0.01%
Percentile
1.88%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.