SECURE CODE REVIEW

A black-box penetration test can only see what the running application exposes. The tester sends requests, observes responses, and infers what must be happening inside — but some weaknesses never surface at the boundary. A weak encryption algorithm buried in a utility class, an authorization check missing three calls deep in a code path, unsafe deserialization of a message no external user can easily craft, a hardcoded credential waiting in a config loader — all of these are real vulnerabilities, and all of them can sit invisible behind a perfectly ordinary-looking HTTP interface. A secure code review removes the guesswork: instead of probing the application from outside, we read the source code itself. It is white-box by definition — every branch, every dependency, every trust decision your developers made is on the table, whether or not an attacker could easily trigger it from the outside today. The two approaches answer different questions, and they are strongest together: a code review works inside-out, a penetration test works outside-in, and the overlap between them is where confidence actually comes from.

How we work

Every review runs through the same four steps, so you always know where the engagement stands and what arrives next.

1. Application profiling — We set up with your team and learn how the application actually works: the architecture, the frameworks and languages in use, where input enters the system, where the trust boundaries sit, and which components matter most to the business. This step decides where review effort concentrates — a payment module and a marketing banner do not deserve equal attention. The scope, the languages and frameworks covered, and the depth of review are all agreed with you here; the toolchain adapts to your stack, not the other way round.
2. Static analysis — We run static analysis (SAST) tools appropriate to each programming language in the codebase. Static analysis is what makes whole-codebase coverage possible: it traces data flow from untrusted sources toward dangerous sinks, flags tainted input reaching a query or a command, and surfaces candidate issues in files no human would think to open. The output of this step is a candidate list — deliberately broad, and not yet a set of findings.
3. Manual analysis — An analyst reviews the candidates by hand. Every flagged issue is traced through the actual code path to determine whether it is exploitable in context or a false positive — a pattern that looks dangerous but is neutralised by validation the tool could not follow. Just as importantly, the analyst reads for what the tools miss: false negatives, and above all logic flaws — a missing authorization check, a crypto decision that is syntactically fine and cryptographically wrong — because no pattern matcher understands what your application is supposed to allow. A raw SAST report is not a deliverable; the manual pass is where the value is.
4. Recommendation — For every confirmed vulnerability, we show exactly where it lives in the code — file, function, line — and how to fix it, written for the language and framework you are actually using. A remediation that says "sanitise input" helps nobody; one that names the specific API in your framework that does it correctly gets fixed in the next sprint.

Why manual analysis matters

Static analysis tools are excellent at breadth and terrible at judgement. Left unreviewed, a SAST scan produces two failure modes at once. The first is false positives: the tool flags a data flow as tainted because it cannot see the validation layer, the framework's built-in encoding, or the business rule that makes the path unreachable — and a report full of these trains your developers to ignore it. The second is quieter and worse: false negatives. A tool matches patterns; it does not understand intent. It will not notice that an endpoint checks whether a user is logged in but never which user owns the record, or that a signing function uses a key derived from a predictable value, because nothing in those lines matches a known-bad signature. The manual analysis step exists to correct both errors — cutting the noise down to confirmed, exploitable issues, and adding back the logic-level findings automation structurally cannot produce. What reaches your report is a set of real vulnerabilities, each one verified by a human who read the code.

What you get

Every report contains, at minimum:

• Executive summary — the business-level risk picture, suitable for management and auditors.
• Findings by Risk Level — each vulnerability rated Critical, High, Medium, or Low so remediation can be prioritised objectively.
• Exact code location for every finding — the file, function, and line where the issue lives; your developers should never have to hunt for what we found.
• Remediation guidance — fixes written for your language and framework, not generic secure-coding platitudes.
• Retest verification — after your team applies the fixes, we re-review the affected code and update the report to reflect closed items.

Team credentials

Reviews are performed by our in-house team holding industry certifications including OSCP, OSCE, CREST CRT, CREST CPSA, and GIAC GREM — credentials earned through rigorous, hands-on examination. The same offensive-security background that drives our penetration testing informs how we read code: not as auditors ticking a checklist, but as attackers asking what each line lets them do. See the full list of certifications the team holds.

Standards

Findings are classified and reported against the frameworks your developers and auditors already work with:

• OWASP ASVS (Application Security Verification Standard) — the requirement set we verify code against, giving each finding a concrete control it violates.
• OWASP Top 10 — the risk categories your remediation backlog is probably already organised around.
• CWE — the common weakness taxonomy, so every finding carries a precise, vendor-neutral classification.

A secure code review tells you what is wrong inside the code; a penetration test proves what an attacker can reach from outside it. Pairing this review with a web application or mobile application penetration test gives you both directions at once — inside-out and outside-in — and findings from each side sharpen the other.