Default Credentials and Parsing Flaws Let Hackers Remotely Unlock Cars
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Attackers exploited a combination of unchanged default admin:admin credentials and URL parsing mismatches in ForgeRock Access Management and OpenIDM deployed by two automakers, ultimately achieving remote code execution on production identity servers. This gave them direct access to vehicle APIs, enabling remote unlocking, engine starts, and exposure of real-time location data. The incident illustrates how a single failure to change a default password in a production environment — a basic hardening step — can cascade into catastrophic physical-world consequences. It also highlights the danger of deploying identity and access management platforms without thorough post-installation hardening reviews. The fact that both vendors patched within two hours of responsible disclosure underscores how preventable this was with proactive credential management.
Tactical Insight
Immediate actions
- Audit all production systems for default or unchanged vendor credentials and rotate them immediately.
- Apply available security patches to ForgeRock Access Management and OpenIDM and verify no default accounts remain active.
- Revoke or restrict internet-facing access to administrative interfaces until hardening is confirmed.
Long-term improvements
- Enforce a credential hardening checklist as a mandatory gate in all deployment and change-management pipelines.
- Implement privileged access management (PAM) controls so that administrative accounts require MFA and time-limited sessions.
- Conduct regular third-party penetration testing specifically targeting identity and access management platforms connected to physical asset APIs.
Detection measures
- Deploy alerting on any authentication to administrative consoles using well-known default credential patterns.
- Monitor vehicle API calls for anomalous volume, geographic outliers, or unauthenticated access attempts and feed results into a SIEM.
- Establish continuous vulnerability scanning of all internet-facing assets with SLA-based remediation timelines for critical findings.