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Security Code Review Checklist Mapped to OWASP for Engineering Teams

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Security Code Review Checklist Mapped to OWASP for Engineering Teams

Isometric security checklist verification title card

Use a standards-mapped checklist, built on OWASP ASVS 4.0, the CWE Top 25, and NIST SSDF practices, that pairs automated scanning with a focused manual pass. The essential buckets are input validation and injection, authentication and session handling, authorization, cryptography and secrets, configuration and deployment, vulnerable components, and logging and monitoring. The sections below translate each bucket into pull request level checks, evidence requirements, and a workflow your team can run without burning out reviewers.

TL;DR:

  • Use automated scanning tools first to identify known vulnerabilities and secrets before manual review begins.
  • Prioritize security checks based on exposure, data sensitivity, and exploitability, automating high-risk cases.
  • Apply Level 1 checks broadly and reserve deeper Level 2 controls for sensitive data flows, focusing on critical paths.
  • Ensure every check maps to an OWASP ASVS control and CWE identifier, with a short, critical path checklist for rapid review.
  • Routinely gather and track evidence for each finding, linking it to specific files, lines, and exploit scenarios to facilitate verification and closure.
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Table of Contents

How to map and prioritize checks to OWASP ASVS and the CWE Top 25

Not every application needs the same depth of scrutiny, and the fastest way to decide how much is enough is to anchor your checklist to ASVS levels. Level 1 is the floor: a baseline defense appropriate for applications that do not handle highly sensitive data, and one that can be verified largely through automation and a basic manual review. Level 2 adds controls for applications that process sensitive data, financial transactions, or personal information, and it requires deeper manual attention to business logic and session handling. Level 3 is reserved for high-assurance systems where the cost of a breach is severe, and most product teams will never need to apply it uniformly across a codebase.

Comparison of OWASP ASVS assurance levels

The CWE Top 25 gives you the other half of the equation: which weaknesses are worth checking for first. The 2025 list ranks cross-site scripting (CWE-79), SQL injection (CWE-89), cross-site request forgery (CWE-352), and missing authorization (CWE-862) as the four most prevalent and impactful weaknesses, making them natural starting points for any PR-level checklist. Mapping each checklist item to both an ASVS control and a CWE identifier provides reviewers a shared vocabulary: a finding is specified as “missing authorization, CWE-862, ASVS 4.1.3.”

A practical prioritization heuristic combines three factors: exposure (is this endpoint public or internal), data sensitivity (does it touch credentials, payment data, or personal information), and exploitability (does the change introduce new input handling or trust boundaries). When all three are high, the checklist trigger should be automatic rather than left to reviewer judgment.

  • Map every checklist item to an ASVS control number and, where applicable, a CWE identifier.
  • Apply Level 1 checks broadly across the codebase and reserve Level 2 for sensitive data flows.
  • Maintain a short critical path checklist for authentication, payment, and data export flows, separate from a broader periodic audit checklist.

Pro Tip: Keep the critical path checklist to one page. If reviewers need to scroll, they stop reading it.

Standards-mapped checklist by vulnerability class

A checklist organized by vulnerability class is easier to apply consistently than one organized by file type, because it mirrors how attackers actually find entry points. The OWASP Code Review Guide and the Secure Code Review Cheat Sheet both structure their baseline steps this way, covering input validation, authentication, authorization, cryptography, business logic, and configuration as separate review topics.

Injection (CWE-89, CWE-79): confirm that database access goes through parameterized queries or an ORM’s safe query builder, never string concatenation. Check that any output rendered to HTML, a URL, or a shell command passes through the framework’s encoding functions. Verify a content security policy is configured where the application renders user-controlled content.

Authentication and session handling: confirm tokens have a defined expiration and rotation policy, that session identifiers are invalidated on logout and password change, and that failed login attempts are rate-limited. Flag any new authentication flow that does not include a suggestion for multi-factor enforcement where the data sensitivity warrants it.

Authorization (CWE-862): the single most common gap reviewers miss is enforcement that lives only on the client or in a UI condition. Every changed endpoint needs server-side authorization checks, and every object reference (a user ID in a URL, a record ID in a request body) needs an ownership or permission check, not just an existence check, to rule out insecure direct object reference.

Cryptography and secrets (CWE-327, CWE-200): reject any custom cryptographic implementation in favor of vetted libraries, confirm TLS is enforced on all external connections, and confirm key rotation has a defined schedule rather than a one-time setup. Secrets scanning should catch hardcoded credentials before a human reviewer ever sees the diff.

Configuration and deployment: confirm debug modes and verbose error pages are disabled in production builds, security headers (such as Content-Security-Policy and X-Content-Type-Options) are present, and rate limiting applies to authentication and data export endpoints.

Vulnerable components: every dependency change should arrive with a software composition analysis report listing known CVE IDs, the scope of impact, and whether the update touches native code or alters the update mechanism itself, since both increase attack surface beyond the vulnerability being patched.

  • Injection: parameterized queries, safe ORM APIs, output encoding, and CSP where applicable.
  • Authentication and session: token lifecycle, session invalidation, and rate limiting on login attempts.
  • Authorization: server-side enforcement and ownership checks on every object reference, not just existence checks.
  • Cryptography and secrets: no custom crypto, enforced TLS, scheduled key rotation, and automated secret scanning.
  • Configuration: secure defaults, disabled debug output, security headers, and rate limiting.
  • Components: a current SCA report with CVE IDs for every new or updated dependency.

Setting up secure code review in your team’s workflow

Most PRs do not need a dedicated security reviewer, but some should never merge without one. The judgment call is easier when it is rule-based rather than discretionary.

  1. Route a PR to a security pass when it introduces or changes an authentication or authorization flow.
  2. Route a PR to a security pass when it adds or updates a dependency, especially one with native bindings.
  3. Route a PR to a security pass when it exposes a new public API surface or changes privilege levels.
  4. Route a PR to a security pass when the diff is large and touches a critical path such as payment or data export.

Within that structure, three roles share the load. The author runs a self-check against the critical path checklist before requesting review. A peer reviewer checks correctness and readability as usual. A designated security reviewer, rotated across the team rather than assigned to one person permanently, takes the flagged PRs that meet the criteria above. Rotation matters because a single person who always owns security review becomes a bottleneck and, eventually, the only one who remembers why a control exists.

Automation should run first, not last. Software composition analysis, static analysis, and secrets scanning belong in CI, catching the mechanical issues (known CVEs, hardcoded keys, obvious injection patterns) before a human ever opens the diff. NIST’s SSDF groups these practices under Prepare, Protect, Produce, and Respond, and treats code review and automated analysis as documented, traceable steps in the development lifecycle rather than optional extras. Fast automated checks should fail the build immediately; anything requiring judgment should hand off to the human reviewer with the finding attached, not buried in a log.

Set a PR size limit and a turnaround SLA. A 2,000-line diff rushed through in ten minutes defeats the purpose of having a checklist at all, and every finding a reviewer raises should include a file and line reference along with a remediation suggestion, not just a description of the problem.

Pro Tip: Cap security-flagged PRs at a size that fits in one sitting. If a change is too large to review carefully, split it before the security pass, not after.

The diff-focused checklist to run on every pull request

When a PR lands, work through the changed files in a fixed order rather than reading top to bottom at random.

  1. Identify new or modified endpoints, privilege changes, and altered data flows before reading implementation details.
  2. Confirm existing security controls, authentication checks, input validation, and output encoding, are preserved on every modified path, not just added to new ones.
  3. Require a current SCA report for any new or updated dependency, checking for CVE IDs, native bindings, and changes to the update mechanism.
  4. Scan for hardcoded secrets and confirm credentials are pulled from environment variables or a secret manager, never committed to the diff.
  5. For every finding, record the file and line, a short exploit scenario, a remediation snippet, and a suggested test case.

That last step is what separates a checklist from a conversation. Without a file:line reference and a concrete scenario, “this looks insecure” is a comment, not a finding someone can act on or verify was fixed.

Triage, severity, and tracking findings to closure

A finding without a severity rating sits in a backlog forever. A simple matrix works: critical (authorization bypass, injection, exposed secrets), high (session handling flaws, missing rate limits on sensitive endpoints), medium (weak configuration defaults), and low (defense-in-depth gaps with no immediate exploit path). Each ticket needs a consistent set of fields.

  • Title naming the vulnerability class and CWE reference where one applies.
  • File and line location plus a short exploit scenario a developer can reproduce.
  • Remediation suggestion and a confidence level (confirmed, likely, needs verification).
  • Suggested test case to confirm the fix and prevent regression.

Set an SLA tied to severity, critical findings fixed before merge, high findings within days, and track time to triage, time to fix, recurrence rate, and the percentage of PRs that received a security pass. Those four numbers tell you whether the checklist is working or just generating noise.

Evidence-based PR reviews in practice

A checklist is only as good as the evidence behind each finding, which is the problem Veridical was built to solve. Veridical reviews pull requests against repository context, not just the diff, and every finding it publishes is tied to concrete evidence rather than a generic warning.

  • Verified findings include inline evidence, file and line references, and the surrounding callers or interfaces affected, so a reviewer can confirm a defect rather than take it on faith.
  • Every review ends with a calibrated advisory score projected from real-defect F1 metrics, giving teams a quantitative signal they can wire into merge gating instead of relying on reviewer intuition alone.
  • Reproducible evidence makes remediation verification faster, since the next reviewer can check the same file and line rather than re-deriving the original concern.

Teams running open-source projects can try the approach on public repositories through Veridical’s open-source program, and the engineering blog walks through a case where evidence-based review caught a defect that frontier models missed.

Practical trade-offs and common implementation mistakes

The most common mistake is applying a Level 2 checklist to every PR regardless of risk, which trains reviewers to skim rather than read. Tailor the checklist to the critical paths the application actually has, and tune automated scanners aggressively to cut false positives, since a reviewer who ignores half the scanner’s output will eventually ignore all of it. Revisit the checklist after major architecture changes or a significant dependency shift. A checklist written for a monolith does not automatically cover a service that just gained a new authentication provider.

— Łukasz

Sources

Copy items directly from OWASP ASVS 4.0, the CWE Top 25, NIST SSDF, the OWASP Code Review Guide, and the Secure Code Review Cheat Sheet, mapping each to your ASVS level. Teams aligning this work to broader risk programs can compare ISO 27001 against NIST’s framework or review how regulated industries adapt these controls.

Reviewing pull requests against this checklist by hand is exactly where Veridical’s evidence-based reviews fit, catching the mechanical gaps so your team can spend its attention on business logic. Plans range from the Launch tier at no published price through Standard at $39 per month to Pro at $69 per month, detailed on Veridical’s pricing page, and you can start by connecting a repository at Veridical.

FAQ

What to look for during a code review?

Start with changed endpoints, privilege changes, and altered data flows, then confirm authentication, authorization, and input validation controls are preserved on every modified path. Check new or updated dependencies for known CVEs and scan for hardcoded secrets before looking at business logic.

What are the key components of the secure code review process?

A secure code review process combines automated scanning (SAST, SCA, secrets detection) in CI with a focused manual pass for PRs that meet defined risk triggers. Findings need consistent evidence, a file and line reference, an exploit scenario, and a remediation suggestion, so they can be triaged by severity and tracked to closure.

How do automated tools fit alongside manual code review?

Automated tools should run first in CI to catch mechanical issues like known vulnerabilities and hardcoded secrets, leaving human reviewers to focus on business logic and authorization gaps that scanners miss. This layering, recommended in NIST’s SSDF practices, keeps review fast without skipping the judgment calls automation cannot make.

Security Code Review Checklist Mapped to OWASP for Engineering Teams · Veridical.dev