Vela pipelines can use variable substitution combined with insensitive fields like parameters, image and entrypoint to inject secrets into a plugin/image and — by using common substitution string manipulation — can bypass log masking and expose secrets without the use of the commands block. This unexpected behavior primarily impacts secrets restricted by the "no commands" option. This can lead to unintended use of the secret value, and increased risk of exposing the secret during image execution bypassing log masking.
Given by the following substitution examples:
using parameters
steps:
- name: example
image: <some plugin>
secrets: [ example_secret ]
parameters:
example: $${EXAMPLE_SECRET}
using image tag
steps:
- name: example
image: <some plugin>:latest${EXAMPLE_SECRET}
secrets: [ example_secret ]
using entrypoint as a shim for commands
steps:
- name: example
image: <some plugin>
secrets: [ example_secret ]
entrypoint:
[
"sh",
"-c",
"echo $EXAMPLE_SECRET",
]
To exploit this the pipeline author must be supplying the secrets to a plugin that is designed in such a way that will print those parameters in logs. Plugin parameters are not designed for sensitive values and are often intentionally printed throughout execution for informational/debugging purposes. Parameters should therefore be treated as insensitive.
While Vela provides secrets masking, secrets exposure is not entirely solved by the masking process. A docker image (plugin) can easily expose secrets if they are not handled properly, or altered in some way. There is a responsibility on the end-user to understand how values injected into a plugin are used. This is a risk that exists for many CICD systems (like GitHub Actions) that handle sensitive runtime variables. Rather, the greater risk is that users who restrict a secret to the "no commands" option and use image restriction can still have their secret value exposed via substitution tinkering, which turns the image and command restrictions into a false sense of security.
N/A
parameters that are not intended to be used for sensitive values.pull_request events enabled, as this allows users to change pipeline configurations and pull in secrets to steps not typically part of the CI process.If you have any questions or comments about this advisory:
Affected products: go-vela/worker
A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.
Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.
Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.
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