SQL Injection Risk Calculator
Rate SQL injection exposure from query construction, validation, database privileges and the data reachable behind the query.
Inputs
Overall Risk Severity
Critical
Likelihood Score
7.40/ 9
Impact Score
8.00/ 9
Risk Score
6.58/ 9
Suggested Remediation Window
7days
Highest-Value Fix
Convert the query to parameterised or prepared statements
Step by step
Values used
Query construction = String concatenation of user input — 9; Input validation on the parameter = Deny-list filtering — 6; Endpoint exposure = Anonymous internet — 9; WAF or RASP in front of the endpoint = WAF in detection only — 5; Query anomaly logging and review = Logged without review — 8; Database account privileges = DDL rights on the app database — 7; Sensitivity of the reachable tables = Regulated PII or payment data — 7; Records reachable from this query path = 250,000 records
SQL Injection Risk
Likelihood = mean(query construction, validation, exposure, WAF posture, detection); impact = mean(database privilege, data sensitivity) plus a record-volume uplift, both on the OWASP 0–9 scale.
Overall Risk Severity
= Critical
Likelihood Score
= 7.40 / 9
Impact Score
= 8.00 / 9
Risk Score
= 6.58 / 9
Suggested Remediation Window
= 7 days
Highest-Value Fix
= Convert the query to parameterised or prepared statements
How it works
Every factor uses the OWASP 0–9 ordinal scale, so a fully parameterised query scores 1 and raw concatenation scores 9. Likelihood averages the five factors that decide whether an attacker finds and lands the injection; impact averages what the compromised database account can reach, uplifted when the blast radius runs to millions of records. SQL injection is still the fastest route from an anonymous HTTP request to your entire customer table, and the difference between Medium and Critical is usually the privilege level of one database account.
Formula
SQL Injection Risk
Likelihood = mean(query construction, validation, exposure, WAF posture, detection); impact = mean(database privilege, data sensitivity) plus a record-volume uplift, both on the OWASP 0–9 scale.
- likelihood
- 0–9 OWASP likelihood
- impact
- 0–9 OWASP impact
- recordBoost
- 0–2 uplift for the number of reachable records
Frequently Asked Questions
How is SQL Injection Risk calculated?
Likelihood = mean(query construction, validation, exposure, WAF posture, detection); impact = mean(database privilege, data sensitivity) plus a record-volume uplift, both on the OWASP 0–9 scale. Every factor uses the OWASP 0–9 ordinal scale, so a fully parameterised query scores 1 and raw concatenation scores 9. Likelihood averages the five factors that decide whether an attacker finds and lands the injection; impact averages what the compromised database account can reach, uplifted when the blast radius runs to millions of records.
Why does SQL Injection Risk matter?
SQL injection is still the fastest route from an anonymous HTTP request to your entire customer table, and the difference between Medium and Critical is usually the privilege level of one database account.
What values do I need to enter?
This calculator takes 8 inputs: Query construction, Input validation on the parameter, Endpoint exposure, WAF or RASP in front of the endpoint, Query anomaly logging and review, Database account privileges, Sensitivity of the reachable tables, Records reachable from this query path. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.
Does a WAF make SQL injection a low risk?
No. A WAF lowers likelihood by a factor or two but never to 1, because signature evasion is routine and second-order injection never crosses the WAF at all. Parameterised queries remove the vulnerability class; a WAF only buys time to deploy them.
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