Secrets Detection and Scanning
by Cycode

Secrets are pieces of sensitive information used to authenticate and authorize access to various systems, services, and applications. These include API keys, passwords, tokens, credentials, certificates, and more. Protecting these secrets is crucial because their exposure can lead to unauthorized access, data breaches, and significant security incidents.

Implementing tools and best practices for secrets management, such as secrets detection using a secrets scanner, helps ensure that sensitive information remains secure throughout the development and operational lifecycle.

Secret detection is a security process focused on identifying sensitive data exposures—like passwords, API keys, and tokens—within code repositories and other development environments. It automates the discovery of these secrets to help prevent unauthorized access, data leaks, and potential breaches, especially as secrets can be inadvertently committed during development. Modern secret detection tools integrate with the CI/CD pipeline, ensuring sensitive information is identified early and regularly monitored to maintain secure code hygiene throughout the software lifecycle.

Secrets in source code refer to sensitive data that should remain confidential and secure. They are often used to access critical services, databases, or third-party integrations. Secrets typically include API keys, authentication tokens, passwords, encryption keys, and private certificates, but can be any sensitive data you don’t want exposed.

Learn more about the top source code leaks and their impact.

A secret can be found in more places than just source code. They can appear in build logs, version histories, IaC templates, documentation, ticketing systems, and productivity tools like Slack and Confluence. Because they can be found across the SDLC, you need a secrets scanner that can find a wide range of secrets in all they places they may exist.

Code reviews are designed to identify logical errors, coding standards violations, and potential security vulnerabilities, but they are not foolproof for secrets detection.

Human reviewers may overlook embedded secrets due to their subtle nature, especially in large codebases. Secrets might also be introduced through automated scripts or overlooked configuration files, which are not always subject to thorough manual review.

Automated tools like Cycode are specifically designed to detect secrets are more effective; they systematically scan code for patterns and anomalies indicative of sensitive information.

Secrets in code are hard to detect because there are many different types of secrets that are structured in many different ways. Some secrets do follow a known pattern and, because of this, are easier to detect. Other secrets may not follow a standard pattern or may be encrypted or hashed, which makes them more difficult to detect. For these types of secrets, trying to find them in code may lead to high rates of false positives. For this reason, you need a secrets scanner that can accurately identify secrets without a high number of false positives.

Secret scanning leverages pattern-matching algorithms, machine learning, and known secret signatures to automatically scan for exposed secrets across code, configuration files, and documentation. The best tools go beyond detection by prioritizing findings based on risk, evaluating factors like secret type, usage, and criticality to streamline the remediation process. Developer-friendly workflows integrate directly into CI/CD pipelines, automatically flagging exposed secrets in pull requests or issue trackers to alert developers in real time. Finally, remediation guidance and actionable insights empower developers to resolve issues quickly and securely, ensuring that security measures support rather than hinder development efficiency.