Secrets in Jira, Confluence and Slack: scanning beyond code

Where do secrets hide outside code?#

Secrets hide outside code wherever engineers and support staff troubleshoot together: incident channels, direct messages, bug reports, runbooks and the files attached to all of them. A software company's Slack, Jira and Confluence can hold credentials that years of repository scanning never touched, because nothing checks a message before it is sent.

Attachments and history deserve as much attention as visible text, and the standard exports do not always carry them. Slack's workspace export contains links to files rather than the files themselves, and a Confluence Cloud site backup includes attachments only when the admin selects them. An edited page or message may also still carry the original value in its version history or in an earlier export.

Why code scanners miss collaboration secrets#

Code scanners miss collaboration secrets because they are pointed at repositories and tuned to how secrets look in code: assignments, configuration keys and known token prefixes. Collaboration records add forms they rarely see, such as a password typed into a sentence, a token split across two messages or a key inside a zipped log attached to a ticket.

Several tools reach beyond git. Gitleaks checks git repositories, individual files and piped input, so exported Slack, Jira and Confluence text can be fed to it once written to disk; its README now calls the project feature complete and promises only security patches from here on. TruffleHog's documentation claims coverage of more than 800 secret types, with sources that include chat tools, wikis, logs, object storage and local filesystems.

Personal-data detectors can help at the edges. Amazon Comprehend's developer guide, in its 2023 archived form, counted passwords and AWS access and secret keys among the personal data entities it detects, which helps when one pass has to cover both personal details and credentials. None of these tools reads intent, so prose still needs a keyword pass for words such as password, pwd, creds, token and secret followed by a value, with every hit routed to a person.

Should you verify whether a found secret is live?#

Verifying whether a found secret is live is useful for credentials your company owns and risky for anyone else's. TruffleHog, for example, can log in with a credential it classifies to confirm whether it still works, which is a real authentication attempt against a real system.

Run verification only against your own services, with the security team's approval and logging in place. For credentials that belong to customers or vendors, do not test them: treat every one as live, follow your incident and contract notification process, and exclude or redact the record.

A failed check does not prove a secret is dead. A key that fails today may belong to a service that was down during the scan, so rotate it anyway if your company owns it.

The remove-and-rotate procedure#

The remove-and-rotate procedure puts rotation before redaction, because an exposed secret stays exposed until it is changed. Cleaning the export only stops the dataset from spreading it further.

Decide separately whether to clean the live workspace. Deleting old Slack messages or Jira comments is a retention decision with legal and operational effects, and it changes nothing that has already been exported.

• 1Export into an isolated workspace with restricted access, and collect attachments deliberately: download the files behind Slack's export links, select attachments in Confluence and Jira backups, and decide whether Confluence page history is in scope.
• 2Extract text from attachments and run optical character recognition on screenshots before scanning.
• 3Scan with at least one pattern-based secret scanner and one keyword context pass, logging every hit with its location.
• 4Triage each hit by owner: your company, a customer, a vendor or a test environment.
• 5Rotate or revoke company-owned credentials and confirm the old values no longer work.
• 6Notify customers and vendors about their credentials through your incident process.
• 7Redact the delivery copy with typed placeholders, or drop the attachment or message entirely.
• 8Rescan the finished delivery copy and record the result with the release.

What to do with each kind of finding#

Each kind of finding needs a set action so reviewers do not improvise under deadline. Agree the rules before the first scan and record any exception with the reviewer's name and reason.

Keep placeholders typed, such as API key or database password. A typed placeholder keeps the troubleshooting conversation readable, and that conversation is what gives incident and support threads their value to an AI developer.

Illustrative: a vertical software company cleans its incident history#

Illustrative: a fictional company that sells scheduling software to equipment rental firms prepares Jira issues, Confluence engineering pages and selected Slack channels for a license focused on incident response and bug fixing. Its repositories had been scanned for years; its collaboration tools never had.

The first scan found database connection strings in the on-call channel, a cloud access key in older versions of a Confluence runbook, and HAR files attached to escalated support tickets that carried customer session cookies. Several hits were passwords written in sentences that only the keyword pass caught.

The CTO had the platform team rotate every company-owned credential and confirm the old values failed. The company excluded all HAR and log attachments, left Confluence history out of the export and kept only current page versions after a fresh scan. The clean delivery copy was rescanned and the result filed with the release record.

How SourceX treats secrets in collaboration records#

SourceX treats secret removal as part of Preparation in the SourceX five-step transaction, alongside the removal of personal and confidential details. The scanners used, the rules applied, the attachment types excluded and the rescan result go into the privacy record of the SourceX Evidence Packet.

Credentials are never part of a licensed dataset, and the supplier approves the prepared copy before release. During the initial assessment nothing is shared; the fit check asks which tools hold the records and how many years they cover.