AWS Account ID Token Detection Scanner

AWS (Amazon Web Services) is a comprehensive cloud computing platform provided by Amazon. It is used globally by large enterprises, startups, and government agencies for computing power, storage options, and other functionalities to run scalable applications. The platform offers a suite of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) solutions. AWS is integral in aiding businesses to shift from on-premises hardware to cloud solutions, thus providing flexibility and scalability. Its offerings cover various services such as computing, storage, networking, database management, machine learning, and artificial intelligence. AWS has been a pioneer in cloud services and continues to be a major provider worldwide.

Token Exposure is a security issue where sensitive information, like authentication tokens, keys, or account IDs, is inadvertently exposed, usually due to improper protective measures. This vulnerability can lead to unauthorized access if malicious actors discover and exploit these tokens. Detecting token exposure is crucial as it can prevent potential unauthorized resource usage or information compromise. The exposure typically happens in code repositories, logs, or through insufficiently secured applications. Early detection helps in mitigating possible attacks that could exploit these tokens. Proper logging and monitoring are essential to identify and address token exposure incidents timely.

Technical details of the Token Exposure vulnerability in AWS may involve the accidental logging of an AWS Account ID in publicly accessible logs or source code. Specifically, the template examines the body of HTTP responses to identify patterns that match AWS account IDs. The exposed elements often include account numbers, which are components of larger access structures. By identifying these patterns, the scanner helps in pinpointing exact locations of exposure. Early detection alerts organizations, allowing them to take necessary actions to secure these tokens before exploitation. Remediation involves auditing logs and codebases to ensure no sensitive information is exposed.

If malicious actors exploit the Token Exposure vulnerability, they could potentially gain unauthorized access to AWS resources. This could lead to financial misuse, data theft, or service disruptions. Exposing account IDs may also increase the chances of phishing attacks, as it provides attackers with more context to target the organization precisely. In severe cases, it could lead to a complete compromise of cloud resources, leading to significant financial and reputational damage. Mitigating this involves immediately rotating credentials and auditing access logs to ensure no unauthorized access occurred.

REFERENCES

• https://github.com/praetorian-inc/noseyparker/blob/main/data/default/rules/aws.yml