SQL Injection Testing Services

A single injectable parameter can be the whole breach. SQL injection can read your entire database, bypass authentication by rewriting the login query, or in some configurations write files and reach the underlying host. Command injection is worse still, handing an attacker code execution on your server. These are not theoretical severities. They are the mechanics behind a large share of the data breaches that make the news, which is why injection deserves focused, expert testing rather than a line in a generic scan.

New code using parameterised queries is usually clean, so we spend our time where the risk concentrates: search and filter fields, sort and pagination parameters, export and reporting features, legacy admin screens, and anywhere data flows in through one channel and is used in a query later. Second-order injection in particular hides here, because the input looks harmless when submitted and only fires when something else reads it back.

We map every parameter the application accepts, including hidden fields, headers, JSON keys and API bodies, then probe each with payloads designed to disturb the underlying interpreter. A quote that breaks a query, a boolean that changes a result set, a delay that appears on command. The response, or the timing of it, tells us where to look harder.

Confirmation is where discipline matters. We prove an injection is real and establish what it can reach, then stop. Demonstrating that we could read the users table is the finding; actually exfiltrating your customers’ data is not something a responsible test does. Every intrusive step is agreed in the rules of engagement before we begin.

Blind and time-based techniques

Most modern injection is blind: no error, no visible data, just a subtle difference in behaviour. We use boolean conditions that change a page’s content and time delays that prove the query executed, extracting only enough to demonstrate the flaw conclusively.

A confirmed injection is scored on what it actually reaches in your environment. Can it read other tables? Bypass the login? Reach the file system or another service? We chain from the injection to its worst realistic outcome and document that, so the severity reflects your risk rather than a textbook maximum.

The classic, and still the most impactful. We test for error-based extraction, union-based data retrieval, and the blind boolean and time-based variants that dominate real applications. Where the login query is injectable, authentication bypass often follows, letting an attacker log in as any user without a password.

Document databases are not immune. In MongoDB-backed apps, operator injection through query parameters can turn a login check into “match any user” or leak documents the caller should never see. We test JSON and bracket-notation vectors that traditional SQL testing misses entirely.

Where an application shells out to a system command or renders a template from user input, the ceiling is remote code execution. We test features that ping hosts, convert files, generate documents or evaluate expressions, and we verify server-side template injection with controlled arithmetic before demonstrating anything further.

XML parsers that resolve external entities can be steered into reading local files or making server-side requests. LDAP filters built from input can be rewritten to bypass authentication or enumerate a directory. Both appear in enterprise applications and both are firmly manual-testing territory.

A short, plain-language read on whether your application can be made to leak data or run attacker code, and what that would mean for the business.

For each finding: the injectable parameter, the injection class, a CVSS score, business impact, the exact payload and evidence, step-by-step reproduction, and a specific fix, usually parameterised queries or safe APIs rather than fragile input filtering.

After your team applies the fixes we re-test every finding at no charge and confirm the injection is genuinely closed, not merely hidden behind a blocklist an attacker can slip past.

Injection is category A03 in the OWASP Top 10, and our testing maps to it and to the relevant OWASP ASVS verification requirements, giving your team a recognised structure for both the findings and the fixes.

PCI DSS requirement 6 calls out injection explicitly among the flaws you must protect against. ISO 27001, SOC 2 and GDPR all expect demonstrable testing of applications that handle sensitive data. The report and attestation letter are written to support these.

MySQL, PostgreSQL, Microsoft SQL Server and Oracle each have their own functions, comment styles and time-delay tricks. We tailor payloads to the database in use, which matters most for blind extraction where the difference between engines is the difference between a working proof and a dead end.

MongoDB, and search layers like Elasticsearch, take structured queries that user input can subvert in ways classic SQL testing never touches. We test operator injection and query-structure abuse specific to these stores.

Injection does not only live in web forms. REST and GraphQL parameters, and inputs consumed later by a background worker, are prime spots for second-order flaws where the payload is stored innocently and executed elsewhere. We follow the data, not just the form.