CVE-2025-61916

NVD	https://nvd.nist.gov/vuln/detail/CVE-2025-61916
CWE	https://cwe.mitre.org/data/definitions/20.html

Spinnaker is an open source, multi-cloud continuous delivery platform. Versions prior to 2025.1.6, 2025.2.3, and 2025.3.0 are vulnerable to server-side request forgery. The primary impact is allowing users to fetch data from a remote URL. This data can be then injected into spinnaker pipelines via helm or other methods to extract things LIKE idmsv1 authentication data. This also includes calling internal spinnaker APIs via a get and similar endpoints. Further, depending upon the artifact in question, auth data may be exposed to arbitrary endpoints (e.g. GitHub auth headers) leading to credentials exposure. To trigger this, a spinnaker installation MUST have two things. The first is an artifact enabled that allows user input. This includes GitHub file artifacts, BitBucket, GitLab, HTTP artifacts and similar artifact providers. JUST enabling the http artifact provider will add a no-auth http provider that could be used to extract link local data (e.g. AWS Metadata information). The second is a system that can consume the output of these artifacts. e.g. Rosco helm can use this to fetch values data. K8s account manifests if the API returns JSON can be used to inject that data into the pipeline itself though the pipeline would fail. This vulnerability is fixed in versions 2025.1.6, 2025.2.3, and 2025.3.0. As a workaround, disable HTTP account types that allow user input of a given URL. This is probably not feasible in most cases. Git, Docker and other artifact account types with explicit URL configurations bypass this limitation and should be safe as they limit artifact URL loading. Alternatively, use one of the various vendors which provide OPA policies to restrict pipelines from accessing or saving a pipeline with invalid URLs.

Weakness

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

Extended Description

Input validation is a frequently-used technique for checking potentially dangerous inputs in order to ensure that the inputs are safe for processing within the code, or when communicating with other components. Input can consist of:

Data can be simple or structured. Structured data can be composed of many nested layers, composed of combinations of metadata and raw data, with other simple or structured data. Many properties of raw data or metadata may need to be validated upon entry into the code, such as:

Implied or derived properties of data must often be calculated or inferred by the code itself. Errors in deriving properties may be considered a contributing factor to improper input validation.

Potential Mitigations

Assume all input is malicious. Use an “accept known good” input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, “boat” may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as “red” or “blue.”
Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code’s environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
Even though client-side checks provide minimal benefits with respect to server-side security, they are still useful. First, they can support intrusion detection. If the server receives input that should have been rejected by the client, then it may be an indication of an attack. Second, client-side error-checking can provide helpful feedback to the user about the expectations for valid input. Third, there may be a reduction in server-side processing time for accidental input errors, although this is typically a small savings.
Inputs should be decoded and canonicalized to the application’s current internal representation before being validated (CWE-180, CWE-181). Make sure that your application does not inadvertently decode the same input twice (CWE-174). Such errors could be used to bypass allowlist schemes by introducing dangerous inputs after they have been checked. Use libraries such as the OWASP ESAPI Canonicalization control.
Consider performing repeated canonicalization until your input does not change any more. This will avoid double-decoding and similar scenarios, but it might inadvertently modify inputs that are allowed to contain properly-encoded dangerous content.

References

https://github.com/spinnaker/spinnaker/security/advisories/GHSA-vrjc-q2fh-6x9h

Improper Input Validation

Weakness

Extended Description

Potential Mitigations

Related Attack Patterns

References