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Are HAR Files and Replay Fixtures Safe to Commit or Share?

A HAR file or replay fixture can contain real session data. Inspect its contents, recording options, routes, and destination before committing or sharing it.

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Not automatically. A recorded HTTP fixture can preserve data from the real session that created it, so treat a HAR file or test cassette as potentially sensitive until you have inspected its contents and know where it will go. That does not mean every fixture contains secrets: its risk depends on what was captured, how replay is configured, and who can access the file.

What a replay fixture can contain

A replay fixture is a saved record of requests and responses that a test can use later. If it was recorded during a real or production-shaped session, it may include session data rather than invented test values. Riley Lin warns that captures can contain cookies, bearer tokens, or internal hostnames; this is a caution about possible contents, not a measured claim about how often those values appear. Read Lin’s article excerpt.

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The filename and folder do not determine sensitivity. A file in a test directory may still contain data that matters if it is committed, attached to a support ticket, or sent to a remote service. Assess the actual contents, access permissions, and destination.

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What Playwright’s HAR settings do—and do not do

Playwright’s Browser API lets you configure HAR recording. Its content setting controls whether resource content is omitted, embedded, or attached; mode: "minimal" records information needed for HAR routing while omitting other HAR metadata. These options can reduce what is stored, but they are not a guarantee that a capture contains no sensitive information. Playwright Browser API: new context options.

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Playwright also says to close the browser context to ensure the HAR is fully saved. After recording and closing it, inspect the resulting file before committing or sharing it. Do not assume that choosing a reduced recording mode removes every value you would not want to disclose.

Does replay send requests to a live website?

That depends on the route setup. In Playwright, a route can fulfill a request locally or continue it to the network. A replay that serves a matched request locally is different from a route that sends a request onward; unmatched requests and fallback behavior also matter. Review the configured routes and their handling of unmatched requests rather than assuming that every replay is offline. Playwright Route API.

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These details describe Playwright’s documented API, not every test framework. Check the documentation and configuration for the specific tool you use before drawing conclusions about its capture or replay behavior.

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Review a fixture before you commit or share it

  1. Identify its origin. Determine whether it was recorded from synthetic test data, a developer session, or a production-shaped workflow. Treat uncertain provenance as a reason to inspect more closely.
  2. Inspect the actual artifact. Look for cookies, authorization headers or bearer tokens, account details, internal hostnames, and request or response bodies that should not leave their intended environment.
  3. Check recording and replay configuration. For Playwright, review the HAR content and mode options, the route setup, and what happens when a request does not match a recorded entry.
  4. Decide based on the destination. A private repository, public repository, support attachment, and remote service have different audiences. Share only what is appropriate for that audience.
  5. Remove or replace data that should not travel. If the artifact includes sensitive values, do not commit or attach it as-is. Create a sanitized fixture and inspect that output before using it.

A .gitignore rule can prevent a file from being added accidentally, but it does not make the file safe to send elsewhere. Likewise, automated scans or redaction rules can help find problems without proving that every sensitive value has been removed.

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What the available evidence can establish

There is no prevalence statistic here showing what share of replay fixtures contain secrets. Lin’s warning identifies plausible contents, while Playwright’s documentation establishes specific recording and routing controls. Neither supports a blanket claim that all fixtures are dangerous—or that a particular setting makes them harmless.

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