Cypher Injection in Neo4j Leads to Authentication Bypass and Privilege Escalation via BBOT Module

The article describes a critical attack on Neo4j, a graph database, involving Cypher code injection to bypass authentication. The exploitation chain includes OS command injection to gain a host session, credential harvesting, user session manipulation, and privilege escalation via registration of a module for BBOT. This attack demonstrates the severe risks posed by improper input validation in graph databases, which can lead to full system compromise. The use of Cypher injection to execute OS commands highlights the potential for lateral movement from database to host. The privilege escalation via BBOT module registration indicates that attackers can exploit Neo4j’s extensibility to gain elevated access. Cypher injection is analogous to SQL injection but targets Neo4j’s query language. Attackers craft malicious Cypher queries that manipulate database operations, potentially bypassing authentication mechanisms. Once inside, OS command injection allows attackers to execute arbitrary commands on the underlying host, effectively breaking out of the database context. This is particularly dangerous as it enables lateral movement within the network. The credential harvesting phase likely involves dumping database contents or system files containing sensitive information. The final stage, privilege escalation via BBOT module registration, suggests that Neo4j’s plugin or extension system may be abused to execute code with higher privileges. This could involve registering a malicious procedure or function that runs with elevated permissions. From a defensive perspective, organizations should implement strict input validation and parameterized queries to prevent Cypher injection. Network segmentation and least privilege principles can limit the damage from command injection. Regular audits of Neo4j’s registered modules and extensions are essential to detect unauthorized or malicious additions. Additionally, monitoring for unusual process executions originating from database services can help detect such attacks early.