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high·Misconfiguration·Updated Oct 15, 2025

Heroku OAuth2 Token Detection Scanner

This scanner detects the use of Heroku OAuth2 Token Exposure in digital assets. It ensures that sensitive tokens are not inadvertently exposed, which could lead to unauthorized access.

Est. Time~10 seconds
Scan TypeSingle Scan
Targetsurl
CostFree
3k
Times Used
continuous scan runs
3.4k
Continuously Checked
assets under CS
0
Vulnerabilities Found
confirmed findings
References
Detail

Heroku is a cloud platform as a service (PaaS) supporting several programming languages. It is used by developers globally to deploy, manage, and scale applications. The platform is primarily based on a managed container system, which allows developers to focus on code and their business logic. Organizations leverage Heroku for rapid software development because it abstracts much of the infrastructure management. Heroku OAuth2 enables authentication for various applications running on the Heroku platform. OAuth2 tokens are critical for managing authentication and enabling services to interact with each other securely.

Token exposure is a vulnerability where authentication tokens are exposed, potentially leading to unauthorized access. In the context of Heroku OAuth2, such exposure can give attackers the ability to perform unauthorized API calls or access sensitive data. Detecting token exposure is crucial in preventing data breaches and unauthorized manipulations of applications running on Heroku's infrastructure. This vulnerability can occur due to improper handling of tokens, such as logging tokens or embedding them in publicly accessible code repositories. Continuous monitoring and scanning for exposed tokens help mitigate the risk of unauthorized access.

The vulnerability primarily resides in the application code or logs where tokens are handled. Vulnerable endpoints include publicly accessible URLs where tokens might be inadvertently exposed through query strings or error messages. The technical details of the vulnerability involve analyzing responses from HTTP requests to identify patterns matching the expected format of an OAuth2 token. The regex pattern HRKU-[0-9a-zA-Z_\-]{60} used in the scan indicates a Heroku OAuth2 token within the response body, signaling a potential exposure.

If a Heroku OAuth2 token is exposed, an attacker could gain access to private APIs or user data without proper authorization. This could lead to data manipulation, unauthorized transactions, or complete account compromises. The potential consequences depend on the permissions tied to the exposed token, which could range from restricted API access to full application control. Therefore, identifying and rectifying token exposures is crucial to maintaining the security of applications using Heroku.

REFERENCES

Solution Advice
  • Ensure that OAuth2 tokens are not logged in application logs.
  • Regularly audit code repositories for exposed tokens, especially in public repositories.
  • Implement environment-based token management, ensuring tokens are secured and rotated periodically.
  • Utilize token-scanning tools to continuously monitor for exposure.
  • Restrict token permissions to the minimum necessary scope for operations.

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Heroku OAuth2 Token Detection Scanner | S4E