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04/09/2026 6:46 pm
TL;DR: Critical SQL injection in both login and password-reset paths showed how one shared unparameterized query can create two pre-authentication injection points and turn authentication traffic into database read access, according to FireCompass. The issue reinforces that secondary auth-adjacent flows need the same scrutiny as primary login surfaces.
NHIMG editorial — based on content published by FireCompass: How FireCompass AI Agent Discovered a Critical SQL Injection in an Authentication and Password-Reset Flow
Questions worth separating out
Q: What breaks when login and password-reset flows share the same query logic?
A: A single input-handling defect can create multiple pre-authentication injection points, which means one vulnerable function can expose both login and recovery paths.
Q: Why do unparameterized queries in authentication flows create such high risk?
A: Because authentication inputs are reachable before trust has been established.
Q: How can security teams tell whether an auth flow is vulnerable to SQL injection?
A: Look for reflected database errors, inconsistent response behaviour after small input changes, and any code path that builds SQL from user-supplied strings.
Practitioner guidance
- Audit shared authentication code paths Trace every login, password-reset, account-recovery, and username lookup flow back to the exact query builder or ORM method it uses.
- Remove direct SQL construction from identity flows Replace any query string concatenation in identity-adjacent code with prepared statements or bound parameters, including helper methods that are reused across features.
- Reduce database blast radius Scope the application database account so it can access only the tables and operations each specific identity flow requires.
What's in the full article
FireCompass's full blog covers the operational detail this post intentionally leaves for the source:
- Step-by-step reproduction of the login and password-reset injection path, including how the shared query was validated safely.
- The five-phase autonomous testing workflow used to map the authentication surface and confirm exploitability without data exfiltration.
- The remediation table showing why parameterized queries, least-privilege database access, and verbose error suppression each close a different part of the chain.
- Context on how continuous agentic testing differs from a one-time scan when secondary identity flows are easy to miss.
👉 Read FireCompass's analysis of critical SQL injection in login and password reset flows →
Pre-auth sql injection in login and reset flows: what teams miss?
Explore further
04/09/2026 6:46 pm
Pre-authentication identity flows are still one of the weakest governance boundaries in application security. Login and password-reset features sit directly on the trust boundary for human identity, yet teams often review them as separate features rather than a shared access-control surface. When one code path serves both, a single input-handling defect can undermine multiple identity controls at once. Practitioners should treat authentication-adjacent flows as a single governed surface.
A question worth separating out:
Q: How should teams test password reset and recovery paths during application security reviews?
A: Test them as first-class authentication surfaces, not secondary features. Use the same negative testing, role assumptions, and database access checks that you apply to login, because recovery flows often reuse the same lookup logic and error handling. If the reset path reaches different data or returns different errors, that divergence deserves investigation.
👉 Read our full editorial: Agentic AI testing exposed pre-auth sql injection in auth flows
