SQLMap Database Penetration Testing
Fail
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: HIGHDATA_EXFILTRATIONCOMMAND_EXECUTIONPRIVILEGE_ESCALATIONPERSISTENCEINDIRECT_PROMPT_INJECTION
Full Analysis
- [DATA_EXFILTRATION]: The skill provides methodologies for automated data extraction, including dumping entire databases and specifically targeting credential columns (e.g., username, password) using flags like
--dump,--dump-all, and-C. It also facilitates the reading of sensitive system files, specifically citing/etc/passwdvia the--file-readparameter. - [COMMAND_EXECUTION]: The skill instructs the agent on how to execute operating system-level commands on a remote target server using the
--os-shelland--os-cmdparameters, which allows for full command execution capabilities once a vulnerability is exploited. - [PRIVILEGE_ESCALATION]: Includes guidance on leveraging database vulnerabilities to gain administrative access to the underlying operating system, specifically mentioning that techniques like
--os-shellrequire DBA-level privileges. - [PERSISTENCE]: Provides instructions for the
--file-writeand--file-destflags, which allow an attacker to upload arbitrary files (such as web shells or backdoors) to the target server's web root to maintain access. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process untrusted external data which could be manipulated by an attacker to influence agent behavior.
- Ingestion points: Target URLs, HTTP request files captured from proxies (via
-r), and bulk scan lists (via-m). - Boundary markers: None identified; the instructions do not include delimiters or warnings to ignore instructions embedded in the target data.
- Capability inventory: Includes filesystem read/write, network operations to arbitrary targets, and OS command execution through the
sqlmaptool. - Sanitization: The skill lacks any input validation or sanitization routines for the parameters passed to the command-line interface.
Recommendations
- AI detected serious security threats
Audit Metadata