GHSA-58vj-cv5w-v4v6
HIGHNavidrome has Multiple SQL Injections and ORM Leak
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/navidrome/navidromeReal-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
Security Advisory: Multiple Vulnerabilities in Navidrome
Summary
Navidrome automatically adds parameters in the URL to SQL queries. This can be exploited to access information by adding parameters like password=... in the URL (ORM Leak).
Furthermore, the names of the parameters are not properly escaped, leading to SQL Injections.
Finally, the username is used in a LIKE statement, allowing people to log in with % instead of their username.
Details
ORM Leak
When adding parameters to the URL, they are automatically included in an SQL LIKE statement (depending on the parameter's name). This allows attackers to potentially retrieve arbitrary information.
For example, attackers can use the following request to test whether some encrypted passwords start with AAA:
GET /api/user?_end=36&_order=DESC&password=AAA%
This results in an SQL query like password LIKE 'AAA%', allowing attackers to slowly brute-force passwords. (Also, any reason for using encryption instead of hashing?)
SQL Injections
When adding parameters to the URL, they are automatically added to an SQL query. The names of the parameters are not properly escaped.
This behavior can be used to inject arbitrary SQL code (SQL Injection), for example:
GET /api/album?_end=36&_order=DESC&_sort=recently_added&_start=0&SELECT+*+FROM+USER--=123 HTTP/1.1
This is only an example, but you should see an error message in the logs.
Authentication Weakness
When retrieving the user for authentication, the following code is used:
func (r *userRepository) FindByUsername(username string) (model.User, error) {
sel := r.newSelect().Columns("").Where(Like{"user_name": username})
var usr model.User
err := r.queryOne(sel, &usr)
return &usr, err
}
This relies on a LIKE statement and allows users to log in with % instead of the legitimate username.
Proof of Concept (PoC)
See above.
Impact
These vulnerabilities can be used to leak information and dump the contents of the database.
Credit
Louis Nyffenegger from PentesterLab
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐹Go | github.com/navidrome/navidrome | all versions | 0.53.0 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/navidrome/navidrome. 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/navidrome/navidrome to 0.53.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-58vj-cv5w-v4v6 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-58vj-cv5w-v4v6 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-58vj-cv5w-v4v6. 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-58vj-cv5w-v4v6 in your dependencies?
O3 detects GHSA-58vj-cv5w-v4v6 across Go dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.