Missing input validation, improper error handling, or weak encryption can create exploitable gaps.
Rushed development, skipped code reviews, or ignored coding standards can introduce errors.
Using third-party libraries that aren’t updated regularly exposes your code to known vulnerabilities.
Skipping through static, dynamic, and penetration tests can let vulnerabilities slip through the cracks.
Understanding different types of code vulnerabilities is essential for developing secure software. Below are common vulnerabilities, each with risk profiles and mitigation strategies:
-- Vulnerable code snippet:
query = "SELECT * FROM users WHERE username = '" + userInput + "' AND password = '" + passwordInput + "';"An injection attack is where untrusted data has been inserted into a command or query, tricking the system into executing operations the developer didn’t intend. For example, attackers can manipulate a login form that directly includes user input into a SQL query.
' OR '1'='1Risk level: High (important)
Mitigation: You can use parameterized queries (prepared statements) and enforce strict input validation to ensure the safety of the data that users supply.
An attacker might use an input like this one on e the left. The code transforms the query so that it always returns true.
<!-- Vulnerable XML snippet -->
<!DOCTYPE foo
[ <!ENTITY xxe SYSTEM "file:///etc/passwd">
]>
<user>
<name>&xxe;</name>
</user>XXE vulnerabilities happen when a misconfigured XML parser processes an XML input containing external entities. This exposure allows attackers to read local files or conduct SSRF attacks.
Risk level: Medium to high
Mitigation: Disable external entity processing in XML parsers and consider using JSON-based formats instead of XML whenever possible.
<!-- Vulnerable URL manipulation example -->
User requests: https://example.com/user/profile
Attacker modifies: https://example.com/admin/dashboardBroken access control happens when authenticated users access actions or data beyond their intended privileges. For example, a standard user might access an admin dashboard simply by changing the URL.
Risk level: High
Mitigation: Implement strict role-based access control, enforce server-side access checks, and regularly audit access control policies.
Security misconfiguration happens when users don’t change default settings or when they set up environments the wrong way. An example is when a developer leaves default credentials or unnecessary debug features active on a production server.
Risk level: High
Mitigation: Regularly review and update configuration settings and use automated tools to find misconfigurations.
# Vulnerable: Using default credentials on a production server
username: admin
password: admin123
<div>User comment: <?php echo $_GET['comment']; ?></div>XSS vulnerabilities develop when untrusted data is embedded into web pages without the right encoding, allowing malicious scripts to execute in users’ browsers. For example, if inputs aren’t sanitized in a comment section, attackers might inject malicious scripts that could execute in other user browsers.
<sсript>аlert('XSS Attack!');</sсript>Is a physical connection between space and matter that is precisely described by Einstein's geometric theory of gravity. An attacker could inject a script like on the left.
Insecure deserialization happens when an application deserializes data from untrusted sources without proper validation. Attackers can exploit insecure deserialization to execute arbitrary code (RCE), manipulate application logic, or escalate privileges. The issue is especially dangerous in languages like Java and PHP, where object deserialization can lead to unexpected method execution.
Risk level: High
Mitigation: Instead of deserializing untrusted data, you can use safer data formats and libraries like JSON and Protocol Buffers that don’t automatically execute code. If you must deserialize user-supplied data, implement an allowlist of permitted classes and reject all others. Use digital signatures for serialized objects and implement strict type validation.
// Vulnerable deserialization example
ObjectInputStream ois = new ObjectInputStream(inputStream);
Object object = ois.readObject(); // Untrusted input could execute arbitrary codeWhile it’s not a direct code vulnerability, insufficient logging and monitoring can slow down breach detection and worsen the impact of vulnerabilities. Attackers often exploit logging blind spots and might delete or alter logs to cover their tracks, letting them stay undetected. An attacker’s actions might go unnoticed without proper logs and real-time alerts, giving them more time to cause damage.
Risk level: High (because of extended attackers' dwell time in compromised systems)
Mitigation: Make sure you follow comprehensive security logging standards, such as OWASP Logging Cheat Sheet guidelines, and enforce separate, restricted access controls. Use Qodana for real-time security alerts and maintain secure backups to preserve evidence for forensic analysis.
You should treat every incoming data point as potentially hostile. Validate all inputs using allowlists to ensure only acceptable values pass through. When displaying user-generated content, ensure it's properly encoded. Avoid exposing internal details in error messages. Instead, log detailed errors internally while showing generic messages to users. Use multi-factor authentication and apply the principle of least privilege, ensuring that users and processes operate with only the permissions they need.
Modern software development relies heavily on external libraries and frameworks. While these tools help with development, they can also introduce code vulnerabilities if not managed well. To minimize risks, automate dependency updates to receive notifications about outdated or vulnerable libraries. Integrate dependency scanning tools directly into your CI/CD pipeline to detect vulnerabilities, and only download packages from verified repositories and third-party libraries. Make sure you maintain a software bill of materials to track dependencies, ensure transparency, and comply with security regulations on software supply chain security.
Static code analysis tools proactively inspect your code for security vulnerabilities, coding errors, and potential weaknesses without executing it. This helps developers catch security issues early, but works best when combined with manual review and dynamic analysis to reduce false positives and negatives and give you a comprehensive view of codebase health.
Start thinking about security when you first design your software, not just at the end. When working in Agile teams, include security stories in your sprint planning. Set clear acceptance criteria and look for security risks early in each sprint. Add security testing tools into your CI/CD pipelines using automation tools like TeamCity, GitHub Actions, GitLab CI, or Jenkins, and create security models to spot risks throughout development. Finally, follow established security guidelines like those from OWASP or NIST to guide your team.
Qodana allows you to tailor rules and checks to suit your specific needs. Whether you’re focusing on compliance with industry standards or specific coding practices, Qodana adapts to your environment.
Use Qodana for projects of any size, from small personal projects to large enterprise codebases. Its performance remains robust and flexible, ensuring security does not become a bottleneck in your development cycle.
With Qodana, each reported issue comes with detailed explanations and suggested fixes. The reports help fix errors quickly and serve as an ongoing learning resource for developers.
Instead of acting as a black box, Qodana provides contextualized security insights, explaining why an issue is flagged and offering recommended remediation steps.