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GHSA-hv9p-2pqf-r5w3
No affected components available
Improper restriction of excessive authentication attempts (CWE-307) in pgAdmin 4.
pgAdmin enforces MAX_LOGIN_ATTEMPTS only inside its custom /authenticate/login view. Flask-Security's default /login view, which is registered automatically by security.init_app() and is reachable on every server, never consulted the User.locked field: pgAdmin's User model relied on Flask-Security's UserMixin.is_locked() (which always returns 'not locked') and Flask-Login's is_active (which only checks the active column, not locked). An attacker who triggered an account lockout via /authenticate/login could therefore obtain a session by re-submitting valid credentials directly to /login, defeating the brute-force-protection control for accounts using the INTERNAL authentication source. The same bypass also means that login attempts via /login are never rate-limited, so an attacker can perform an unbounded online password-guessing attack against INTERNAL accounts regardless of MAX_LOGIN_ATTEMPTS.
Fix overrides User.is_active and User.is_locked() so the locked column is enforced on every authentication path. LDAP, OAuth2, Kerberos, and Webserver users are not reachable by this bypass because they have no local password and are rejected by Flask-Security's LoginForm.validate before the locked check; the lockout itself is also internal-only (the /authenticate/login view filters by auth_source=INTERNAL).
This issue affects pgAdmin 4: before 9.15.
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a low impact on the confidentiality of the information. There is a low impact on the integrity of the data.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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