API Security Testing
Analyze API endpoints for authorization flaws, data exposure, and abuse opportunities.
View service detailsWeb Application Testing · Central Illinois
Automated tooling is good at pattern matching and useless at understanding what your application is supposed to do. The findings that matter in a modern web application — a user reading another tenant's records, a checkout flow that can be replayed, a password reset that trusts a header — require someone who understands the business rules and then breaks them.
Web application penetration testing is an authenticated, manual assessment of a single application: its front end, its server-side logic, its authentication and session handling, and its authorization model. We test as multiple user roles, because the majority of high-severity findings in modern applications are authorization failures that are invisible to a single-account scan.
We follow the OWASP Web Security Testing Guide for coverage and the Application Security Verification Standard for depth, which means the assessment is repeatable and you can see exactly which control areas were exercised. But coverage frameworks only get you to the starting line. The work that produces the findings worth paying for is reading how your application actually behaves — how it constructs object references, where it trusts client-supplied state, what happens when a multi-step workflow is performed out of order.
Business logic is where we spend the most time and where automated tools contribute nothing. Can a user apply the same discount code fifty times? Can an order be shipped before payment settles? Can a trial account escalate itself to enterprise by editing a field the UI never exposes? These are not vulnerability classes with a CVE — they are consequences of how your specific application was built, and finding them requires a person who has read your workflows.
Enterprise security reviews and vendor questionnaires increasingly require an annual third-party application test. It is frequently the last blocker on a contract.
Anything with a payment flow, PHI, or a large volume of personal data justifies application-layer testing independent of any network assessment.
New authorization models, new user roles, a new tenant architecture, or a rewritten authentication flow all introduce classes of risk that the previous test did not cover.
Tenant isolation is enforced in application code, and application code has bugs. A single missing check is the difference between a SaaS product and a breach notification.
DAST and SAST tooling in the pipeline is worth having and will not find broken access control, which is the most common serious finding in real applications.
Every engagement follows the same documented arc. The percentages below describe how testing time is typically distributed — the balance shifts with what we find, but the phases do not change.
We ask for a live demo rather than documentation. Thirty minutes of someone showing us what the application does and who uses it produces better testing than a hundred pages of specification, because it reveals the workflows that matter and the assumptions behind them.
We map the application before attacking it: every route, parameter, and state transition, plus the technology behind it. Then we build a threat model that identifies which trust boundaries actually matter, so testing effort goes where impact is.
The largest single block of effort, because this is where the severe findings are. We test every privileged action from every unprivileged role, and every tenant's data from every other tenant's session, systematically rather than by sampling.
Traditional vulnerability classes are tested exhaustively across every input, and then we spend real time on the logic. Business logic testing has no checklist — it comes from understanding what your application promises and finding the sequence of requests that breaks the promise.
Findings are written for the developer who has to fix them. That means the vulnerable request, the code-level cause where we can determine it, the framework-appropriate fix, and a note about whether the same pattern likely exists elsewhere in the codebase.
Auditors, insurers, and enterprise security reviewers all ask which methodology a test followed. These are the published frameworks our process is built on, and the report names them explicitly.
A human writes your report. Not a scanner export with a cover page, and not a template with your logo dropped into it.
We quote a fixed fee after a short scoping call. No hourly billing, no change orders mid-engagement. These are the variables that move the number:
Typical applications take 5 to 15 business days of active testing depending on the number of roles and workflows, with the report delivered 5 business days later. A single-role internal tool sits at the short end; a multi-tenant SaaS platform with an admin console, a customer portal, and a partner API sits at the long end.
Staging, if it genuinely mirrors production in code, configuration, and integrations. That lets us test destructive edge cases safely and manipulate data freely. If staging differs materially from production, we test production with agreed constraints, because testing an environment nobody uses tells you very little.
No, and most engagements are black or gray box. Source access does make us faster and improves the precision of remediation guidance, so we offer it as an option. What we always need is working test accounts for every role — testing without credentials leaves the majority of the application untouched.
A scanner is good at reflected injection and known-vulnerable dependencies, and structurally incapable of finding broken access control or business logic abuse, because it does not know what your application is supposed to permit. Broken access control is consistently the most common serious category we report. Keep the scanner in your pipeline; it does not replace this.
In staging, we test freely and you reset afterward. In production, we agree in advance on which actions are off limits, avoid destructive operations, and mark any test data we create so it is easy to identify and remove. We have never lost a client's production data and we design the engagement so that stays true.
The API endpoints the application itself calls are in scope by default, since that is how the application works. If you publish a separate documented API for customers or partners, with its own authentication and its own consumers, that warrants a dedicated API security assessment.
Analyze API endpoints for authorization flaws, data exposure, and abuse opportunities.
View service detailsAssess internet-facing assets to identify exploitable weaknesses before attackers do.
View service detailsEvaluate mobile apps and connected APIs for insecure data flows and client-side abuse paths.
View service detailsTell us what you are trying to prove and to whom. A twenty-minute scoping call is usually enough to determine which engagement answers the question, and we will say so if the answer is a cheaper one.