OWASP Top 10 Explained: The Most Critical Web Security Risks | SiteScanna Blog
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OWASP Top 10 Explained: The Most Critical Web Security Risks

📅 February 24, 2026 ⏱ 12 min read ✍️ SiteScanna Team

The OWASP Top 10 is the most widely referenced list of critical web application security risks, maintained by the Open Web Application Security Project. Understanding these risks is essential for any developer, security professional, or business owner who wants to keep their web presence secure.

This guide walks through each of the 10 categories in plain English — what it means, a real-world example, and what you can do to fix it.

The 10 Most Critical Web Security Risks

A01 — Broken Access Control

The #1 risk. Access control enforces that users can only do what they're permitted to. Failures allow attackers to access other users' accounts, view sensitive data, or perform administrative actions.

Example: Changing the URL from /user/123/profile to /user/124/profile and seeing another user's data.

Fix: Enforce access control server-side on every request. Deny by default. Use UUIDs instead of sequential IDs.

A02 — Cryptographic Failures

Formerly "Sensitive Data Exposure". Weak cryptography or transmitting sensitive data without encryption allows attackers to steal credentials, payment data, or health records.

Example: Storing passwords with MD5 hashing, or serving a login page over HTTP.

Fix: Use TLS everywhere. Hash passwords with bcrypt. Encrypt sensitive data at rest with AES-256.

A03 — Injection

SQL, NoSQL, OS, and LDAP injection occur when user-supplied data is sent to an interpreter as part of a command. A successful injection can dump your entire database or execute commands on your server.

Example: A search box that is passed directly to a SQL query: SELECT * FROM users WHERE name = '${input}'

Fix: Use parameterised queries. Validate and sanitise all input. Use an ORM with query binding.

A04 — Insecure Design

Security flaws baked into the architecture itself. No amount of correct implementation fixes a fundamentally insecure design. Common in applications that didn't threat-model during development.

Fix: Build security into your design phase. Conduct threat modelling. Use established secure design patterns.

A05 — Security Misconfiguration

The most commonly encountered finding in automated scans. Includes missing security headers, verbose error messages, default credentials, and overly permissive cloud storage.

Example: An S3 bucket set to public. A server returning Server: Apache/2.4.18 (Ubuntu).

Fix: Automate configuration hardening. Suppress server banners. Set all security headers. Disable directory listing.

A06 — Vulnerable and Outdated Components

Using libraries, frameworks, or other software with known vulnerabilities. "Log4Shell" (CVE-2021-44228) affected millions of servers running the Log4j library.

Fix: Keep dependencies updated. Use a software composition analysis (SCA) tool. Subscribe to CVE feeds for your stack.

A07 — Identification and Authentication Failures

Broken authentication allows attackers to compromise passwords, keys, or session tokens to assume other users' identities.

Example: Predictable session IDs. Allowing weak passwords. Not invalidating sessions on logout.

Fix: Implement MFA. Use strong session management. Rate-limit and monitor login attempts.

A08 — Software and Data Integrity Failures

Code and infrastructure that doesn't protect against integrity violations. Insecure CI/CD pipelines, auto-updates without integrity verification, and insecure deserialisation.

Fix: Use Subresource Integrity (SRI) for CDN scripts. Sign and verify build artifacts. Protect CI/CD pipeline credentials.

A09 — Security Logging and Monitoring Failures

Insufficient logging means breaches go undetected. The average time to detect a breach is 207 days — often because there's no logging to alert on suspicious activity.

Fix: Log all authentication events, access control failures, and input validation failures. Set up alerting. Use a SIEM.

A10 — Server-Side Request Forgery (SSRF)

SSRF flaws allow attackers to induce the server to make HTTP requests to unintended locations — including internal services, cloud metadata endpoints, or other systems behind the firewall.

Example: An image upload that fetches from a URL — manipulated to http://169.254.169.254/latest/meta-data/ to steal AWS credentials.

Fix: Validate and sanitise all URLs. Use an allowlist of permitted destinations. Disable HTTP redirections.

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