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Security Gates in CI/CD

Top OWASP Secure Coding Practices to Prevent Vulnerabilities

By Kaycie Waldman
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Many application vulnerabilities originate in design and development decisions and become pricier to remediate once they reach production. Embedding secure coding practices into development workflows helps prevent common weaknesses before they become exploitable.

Why Secure Coding Matters for SaaS Teams

Secure coding reduces the volume of vulnerabilities in production, lowers the remediation burden, and produces applications that withstand enterprise security reviews. Fixing a vulnerability in production costs roughly 30 times as much as fixing it during development, according to NIST research cited by HackerOne. The engineering, deployment, and regulatory overhead associated with post-release fixes is not incurred for vulnerabilities prevented during development.

Vulnerability prevention catches input and access control gaps during the development phase. Compliance readiness produces evidence for SOC 2, ISO 27001, PCI DSS, and HIPAA. Customer trust results in cleaner pentest reports and fewer pre-close remediation sprints. Remediation cost is significantly lower when vulnerabilities are found in code rather than in production.

Core OWASP Secure Coding Practices Checklist

Drawn from the OWASP Secure Coding Practices Quick Reference and ASVS, these controls cover the highest-impact secure code practices for web applications, APIs, and cloud-connected SaaS products.

Practice

Prevents

Implementation Focus

Validation Method

Input validation

Injection, XSS

Allowlist validation, server-side

SAST, code review

Output encoding

XSS, header injection

Context-aware encoding

SAST, DAST

Authentication controls

Account takeover

MFA, lockout, secure storage

Pentest, DAST

Password management

Credential exposure

Bcrypt/Argon2, no plaintext

Code review

Access control

Broken access, IDOR

Deny-by-default, object-level auth

Manual pentest

Session management

Hijacking, fixation

Secure cookies, timeout, rotation

DAST, pentest

Cryptographic practices

Data exposure

TLS 1.2+, vault-managed secrets

Code review

Error handling

Information leakage

Generic user errors, internal logging

Code review

Security logging

Forensic gaps

Log auth and access failures

Log review

Data protection

Leakage

Field encryption, access scoping

Code review

File upload security

RCE, traversal

Type validation, out-of-webroot storage

Manual pentest

API security

Auth bypass, mass assignment

Authentication on every endpoint, rate limiting

Pentest, DAST

Configuration management

Misconfiguration

Secrets out of code: IaC review

Config scan

Dependency management

Supply chain, CVEs

SCA tooling, pinned versions

SCA scanning

Allowlist-based input validation is more reliable than filtering known-bad values. Reject anything that does not match the expected server-side format before processing begins.

Secure Coding Practices by Vulnerability Type

Vulnerability

Common Cause

Secure Coding Control

Testing Method

Injection

Unsanitized input, string concatenation

Parameterized queries, allowlist validation

SAST, manual pentest

Cross-site scripting

Unencoded output

Context-aware encoding, CSP headers

DAST, manual pentest

Broken access control

Missing server-side checks

Deny-by-default, object-level authorization

Manual pentest

Insecure design

No threat model

Threat modeling, security requirements

Design review

Security misconfiguration

Default configs, exposed debug modes

Hardening checklists, IaC scanning

Config review

Vulnerable components

Outdated dependencies

SCA tooling, dependency pinning

SCA scanning

Injection Flaws

Before any code is written, architectural risks are identified through threat modeling during design, and security requirements in sprint planning are turned into testable acceptance criteria, the approach OWASP's Insecure Design category calls for, since no amount of clean implementation can fix a control that was never designed in.

Cross-Site Scripting

Every value rendered into an HTML page, a JavaScript context, or a URL must be encoded for that specific context, because values safe in one context are not automatically safe in another, a distinction the OWASP XSS Prevention Cheat Sheet covers in detail. 

In a SaaS application, this often shows up in support tickets or comment fields: a customer's display name is stored securely, then rendered unencoded on another user's dashboard, allowing a stored XSS attack to execute in the browser of anyone who views that ticket.

Broken Access Control

OWASP Top 10 2021: Broken Access Control ranked first on the list. 

94% of applications were tested for some form of broken access control

An average of 3.81% were actually found to have the weakness; the highest incidence rate of any OWASP Top 10 category.

Insecure Design

Before any code is written, architectural risks are identified through threat modeling during the design phase. Security requirements in sprint planning are turned into testable acceptance criteria.

Security Misconfiguration

Default credentials, debug endpoints, and secrets in environment files can be prevented through hardening checklists, IaC reviews, and pre-deployment scanning, the same control areas OWASP's Security Misconfiguration category calls out. 

Such a scenario often looks like a staging environment's debug mode being accidentally shipped to production, or a cloud storage bucket being left with default public-read permissions during a rushed release.

Vulnerable Components

SCA tooling integrated into CI/CD flags known CVEs before they reach production, and pinned dependency versions prevent the attack surface from drifting between reviews, which is the exact risk OWASP's Vulnerable and Outdated Components category is built around. 

This often means a logging or parsing library buried three dependencies deep, one the engineering team never chose directly and has no visibility into until a CVE is published.

Secure Coding in the Software Development Lifecycle

Secure coding practices produce durable results when embedded across the SDLC rather than applied as a post-development gate.

SDLC Stage

Security Activity

Owner

Evidence Produced

Planning

Threat modeling, security requirements

Security lead

Threat model, security stories

Design

Secure design review, data flow analysis

Engineering

Review notes, sign-off

Development

Peer review with security checklist

Engineers

Review records

Build

SAST, SCA, secrets scanning in CI

DevSecOps

Pipeline scan results

Testing

DAST, manual penetration testing

Security team

Pentest vulnerabilities

Release

Security gate, retest confirmation

Engineering lead

Retest evidence

Post-release

Monitoring, developer training

Security, engineering

Training records

For example, teams can run SAST, SCA, and secret scanning before a pull request is merged, with agreed-upon severity thresholds determining which vulnerabilities block the build. 

Common Secure Coding Mistakes to Avoid

  • Client Input Trust: 
    • Accepting values from cookies
    • Hidden form fields
    • Request headers without server-side verification
  • Missing Authorization: An API that enforces authentication but not authorization is textbook IDOR territory. Object-level authorization checks on every response can prevent an authenticated user from incrementing an object ID and receiving another user's data.
  • Weak Secrets Management: Hardcoded API keys and credentials in configuration files are a persistent source of breach incidents. Pre-commit hooks that scan for credential patterns prevent the most common forms of credential leakage.
  • Incomplete Logging: Applications that do not log authentication failures or access control violations create forensic blind spots, making it significantly harder to assess the scope of an incident.
  • Untested Assumptions: Code that assumes a prior layer has validated input, or that access control is implemented correctly in every code path, creates gaps that only surface under real-world test conditions.

How to Validate Secure Coding Practices

Validating whether secure code practices hold true against real-world attack techniques requires layered testing beyond automated scanning alone.

Method

Finds

Misses

Best Use Case

SAST

Insecure code patterns

Runtime behavior, business logic

CI pipeline

DAST

Runtime vulnerabilities, misconfigurations

Code-level issues, complex auth

Test environment

SCA

Known CVEs in dependencies

Custom code vulnerabilities

CI pipeline

Manual pentest

Business logic, chained exploits, IDOR

Broad automated coverage

Pre-release, compliance

Remediation verification

Whether a fix resolved the issue

Whether new issues were introduced

Post-fix retest

SAST Coverage

Static analysis catches code-level issues before the application runs and fits naturally into CI pipelines as a developer feedback loop. OWASP's Source Code Analysis Tools list is a useful starting point for evaluating SAST options against a given stack.

DAST Coverage

Dynamic analysis tests the running application from the outside, identifying vulnerability injection points and configuration issues that static analysis cannot observe. Software Secured's guide on OWASP ZAP vs. Burp Suite explains how each DAST tool fits different layers of the testing stack.

SCA Coverage

Software composition analysis identifies known vulnerabilities in third-party libraries and provides visibility into the supply chain attack surface.

Manual Pentesting

Manual pentesting finds chained vulnerabilities, business logic flaws, and authorization bypasses that require contextual understanding.

Remediation Verification

Retesting after fixes confirms that the vulnerability is resolved and that the fix did not introduce a new issue, closing the loop between vulnerabilities and verified resolution.

Validate Your Secure Coding Program With Manual Pentesting

Consistently applying secure coding practices lowers the number of vulnerabilities. Verifying whether those practices hold against attacker behavior requires testing beyond automated scanning.

Software Secured delivers manual, exploit-driven penetration testing for B2B SaaS teams that need to verify that their OWASP secure coding practices can withstand real-world attack techniques. Every engagement includes zero false positives, reproducible evidence, and remediation guidance mapped to engineering workflows. 

Software Secured's OWASP Developer Training covers the top 10 risks, secure coding patterns, and attacker techniques in a hands-on format built for engineering teams. 

Book a consultation to discuss your application scope and what validation looks like for your release cycle.

Frequently Asked Questions

What are OWASP secure coding practices?

OWASP secure coding practices are development guidelines from the OWASP Secure Coding Practices Quick Reference and ASVS, covering input validation, access control, authentication, cryptography, error handling, and dependency management.

How do secure code practices prevent vulnerabilities?

They eliminate exploitable patterns such as unvalidated input, weak authentication, poor access control, and unsafe dependencies by defining and enforcing code-level standards before deployment.

Are OWASP secure coding practices required for compliance?

They may support compliance, but requirements depend on the framework. Secure development controls can support compliance with various requirements, though the exact expectations vary significantly across frameworks.

PCI DSS, for example, is much more prescriptive about secure software development than HIPAA.

Is automated scanning enough to validate secure coding?

No. Automated scanning misses business logic flaws, chained exploits, and authorization issues that require contextual reasoning. Manual penetration testing validates whether controls hold against real attack techniques.

How often should SaaS teams review secure coding practices?

Standards: Review periodically and when threats, architecture, frameworks, or technologies materially change.

Training: At onboarding and periodically thereafter.

Application: Continuously through code review and SDLC controls.

Validation: At meaningful release/change points and through ongoing automated/manual testing.

Ready to get in touch? Get started by booking a consultation now.

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About the author

Kaycie Waldman

Demand Generation Manager

Kaycie Waldman works closely with SaaS, cloud, and technology organizations on security, risk, and compliance initiatives that support growth and enterprise readiness. Her work spans strategic content, go-to-market initiatives, and customer trust programs designed to support scale, compliance, and enterprise sales.

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