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.
This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 6.5, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts limited data confidentiality, limited integrity, for affected systems. Impacting 1 product from pgadmin organizations running these solutions should prioritize assessment and patching.
Reported in 2026, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2026-05-11T16:17:39.497
2026-05-26T12:54:11.830
Analyzed
f86ef6dc-4d3a-42ad-8f28-e6d5547a5007
CVSSv3.1: 6.5 (MEDIUM)
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For pgadmin's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.