Assess database security posture and authorization boundaries
Authorized assessment of database hardening, dangerous features, and lateral-movement paths from app to DBA.
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Why it matters
Evaluate database hardening, exposure, and privilege escalation risks within authorized security assessments, identifying misconfigurations, weak credentials, dangerous features, and lateral movement opportunities from application accounts to DBA-level access.
Outcomes
What it gets done
Enumerate network exposure, TLS configuration, account roles, and grantee permissions across database instances
Identify dangerous configurations like file_priv, xp_cmdshell, COPY PROGRAM, and UDF execution capabilities
Check access controls on sensitive tables, audit log status, and backup/snapshot permissions
Validate SQL injection vectors and NoSQL misconfigurations using sqlmap and nuclei templates in controlled environments
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-database-security | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
Agent outcome reports
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Overview
Database Security Assessment
An authorized-use skill for assessing database hardening and exposure, covering network binding, account grants, dangerous server-side features, and lateral movement from application accounts to DBA-level access. Use for an authorized database security review focused on hardening and exposure, never against production data stores without explicit written approval.
What it does
The skill is restricted to authorized use: it states explicitly that it is for educational purposes or authorized security assessments only, requires explicit written permission from the system owner, and treats misuse as illegal and strictly prohibited. Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target, it requires the user to state the exact target, confirm written authorization and scope, and explicitly confirm the shown commands - without that confirmation it stays read-only and offers defensive guidance only.
Within that gate, it covers unauthorized database access, weak credentials, misbound listeners (0.0.0.0), over-broad grants, dangerous server-side features (xp_cmdshell, COPY PROGRAM, user-defined functions), lateral movement from an application account to a DBA-level one, and NoSQL injection or Redis file-write techniques in an authorized environment. The workflow checks network exposure and TLS configuration, account roles and grantees, access control on sensitive tables, dangerous configuration flags (file_priv, xp_cmdshell, load_file), whether audit logging is enabled, and permissions on backups and snapshots. The toolchain pairs the database's official CLI for connection and enumeration, sqlmap for authorized injection verification, Nuclei for known-exposure templates, and the cloud provider's RDS console for configuration audit.
When to use - and when NOT to
Use it for assessing database hardening and exposure within an approved scope, or checking authorization boundaries and risky server-side execution features. Never run it against production data stores without explicit written approval, and treat active exploitation paths like UDF or command execution as destructive-capable - simulate them first rather than running them directly.
Inputs and outputs
Input is the authorized database target and confirmed scope. Output is findings distinguishing configuration issues from genuinely exploitable chains, covering exposure, permission, and dangerous-feature risks, with OS-command findings routed to attack-chain analysis and cloud-hosted database findings routed to cloud/Kubernetes security review.
Who it's for
Security assessors conducting an authorized database hardening review who need to separate real exploitable chains from configuration findings without touching production data.
FAQ
Common questions
Discussion
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