GHSA-27r7-3m9x-r533
MEDIUMtraQ Allows Insertion of Sensitive Information into Log File
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
github.com/traPtitech/traQReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Go packages — download data is not available via public APIs for these ecosystems.
Description
Impact
A vulnerability exists where sensitive information, such as OAuth tokens, is recorded in log files when an error occurs during the execution of an SQL query. An attacker could intentionally trigger an SQL error by methods such as placing a high load on the database. This could allow an attacker who has the authority to view the log files to illicitly acquire the recorded sensitive information.
Patch
This vulnerability was temporarily fixed by #2787 and will be completely resolved by #2788.
This issue may have caused OAuth tokens to be leaked to users who can view logs on traQ instances using versions prior to v3.25.0.
While it is possible that OAuth tokens for both human users and Bots were leaked, revoking Bot access tokens is not recommended as it may cause errors. This issue will be resolved in a future update.
Currently, the recommended mitigation is to invalidate the OAuth tokens of human users only. To apply this measure, please execute the following SQL statement directly:
UPDATE oauth2_tokens SET deleted_at = NOW() WHERE deleted_at IS NULL AND scopes != "bot"
Workaround
If you cannot apply the update immediately, as a temporary workaround, please review access permissions for SQL error logs and strictly limit access to prevent unauthorized users from viewing them.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐹Go | github.com/traPtitech/traQ | all versions | 3.25.0 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/traPtitech/traQ. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update github.com/traPtitech/traQ to 3.25.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-27r7-3m9x-r533 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-27r7-3m9x-r533 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-27r7-3m9x-r533. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-27r7-3m9x-r533 in your dependencies?
O3 detects GHSA-27r7-3m9x-r533 across Go dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.