What problem does it solve?
During internal network penetration tests, discovered database services often provide the fastest path to remote code execution and privilege escalation, but each database engine requires different exploitation techniques that testers must recall under time pressure.
Core Features & Use Cases
- Multi-Database Coverage: Provides attack workflows for Redis (6379), MSSQL (1433), PostgreSQL (5432), MySQL (3306), and MongoDB (27017), prioritized by exploitation probability.
- Phased Methodology: Walks through service identification, unauthorized access checks, weak password brute-forcing with netexec, command execution, file read/write, and OS-level privilege escalation.
- In-Depth References: Includes detailed attack guides for Redis (unauthorized access, master-slave replication RCE, Lua sandbox escape), MSSQL (xp_cmdshell, CLR assembly, NTLM hash theft), and PostgreSQL (COPY FROM PROGRAM, UDF, privilege escalation).
- Use Case: When a port scan reveals an open Redis 6379 service on a target, follow the quick-reference section to test unauthorized access, then write an SSH key or webshell to gain a foothold.
Quick Start
Ask the AI to help you attack the discovered Redis service on port 6379 of the target host using this database attack methodology.