LinkedIn Client ID Token Detection Scanner

LinkedIn is a widely used professional networking platform that serves millions of users and businesses worldwide. It is used by professionals to connect, share, and extend their professional networks. Organizations and recruiting professionals utilize LinkedIn for talent acquisition and employer branding. LinkedIn provides users with the ability to engage through job postings, articles, and professional endorsements. Companies of all sizes leverage LinkedIn's data-driven insights for better decision-making. The platform is accessed globally across various devices and platforms for professional development and networking.

LinkedIn Exposure vulnerability refers to the unintended exposure of sensitive information such as API keys or client IDs. These exposures can occur due to insufficient security measures in place to protect sensitive data. The exposure of such information might result from misconfigurations or insufficient access control mechanisms within applications. This vulnerability enables attackers to access or misuse the exposed data. Detecting such exposure helps in preventing unauthorized access and potential data misuse. Countermeasures are essential to protect the integrity and confidentiality of sensitive information.

The specific vulnerability involves the exposure of LinkedIn client IDs due to improper handling or publication of such identifiers. The vulnerable endpoint is typically a web application page where the LinkedIn client ID is revealed. This can occur when client IDs are embedded in JavaScript files or exposed in the HTML page source code. Attackers can scrape or scan web pages to locate these identifiers. Once obtained, these IDs can be used to perform actions on behalf of the user or misuse LinkedIn’s API. Regular monitoring and scanning are necessary to identify and rectify such exposures.

When malicious individuals exploit this exposure, they can perform unauthorized operations with LinkedIn's API on behalf of the affected application or user. This could lead to data leaks, account takeovers, or reputational damage to the business. Attackers can potentially gather user information or post unauthorized content. Unauthorized access to these services can breach users' privacy. In severe cases, this may lead to compliance violations if confidential data is accessed.

REFERENCES

• https://github.com/praetorian-inc/noseyparker/blob/main/crates/noseyparker/data/default/builtin/rules/linkedin.yml
• https://docs.microsoft.com/en-us/linkedin/shared/api-guide/best-practices/secure-applications