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Article3 min read

Timeweb Cloud Adds API Secret Masking: What to Check in E-commerce Integrations

A new API key setting hides sensitive fields in responses. I explain how to reduce passwords leaking into logs without breaking automation.

A locked metal cabinet containing network equipment and a key
In this article

On September 11, 2026, Timeweb Cloud added a setting to mask passwords and other sensitive data in API responses for API keys. For existing keys, this feature is disabled by default. This small change affects a critical automation habit: saving full service responses in logs.

A store may have several such integrations: infrastructure management, file processing, delivery, notifications, and scheduled technical tasks. If a log captures unnecessary information, access to routine diagnostics can reveal far more than intended.

Check what is actually being logged

Start with an inventory: which programs use the keys, where responses are stored, and who reads the logs. The list includes not only production services but also test scenarios, support exports, and old administrator scripts.

For diagnostics, the result code, timestamp, operation ID, and a safe error description are often enough. Full responses are not always needed. This is especially critical when a secret is accidentally copied into a general chat along with a request to troubleshoot a failure.

Do not output sensitive data in the verification report. The goal is to identify areas of excessive storage and fix them, not to create another copy.

Enabling protection also requires verification.

If an integration expects a specific field, hiding it may alter program behavior. Before enabling the new policy broadly, determine which scenarios read this data and whether they truly need it.

Test with a test key: verify a standard operation and error handling. The program must not accept a placeholder value as a real password, nor silently store it instead of the working secret.

It is also important to understand the scope of the function. Hiding fields in new responses does not remove data that has already entered logs, backups, or correspondence. These require a separate handling procedure.

Limit the consequences of a single key compromise.

Separate keys by purpose where the service supports it, and grant only the necessary permissions. This way, disabling one access point will not halt all integrations simultaneously, and incident analysis will become clearer.

Each key must have an assigned owner and a known replacement method. Verify how secrets are updated in a running service and who will notice an error after rotation.

Good store automation does not require uncontrolled copying of secrets. It performs specific tasks, leaves useful diagnostic trails, and allows access to be replaced without surprising shoppers.

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