Sendinblue API Token Detection Scanner
This scanner detects the use of Sendinblue API Token Exposure in digital assets. It is designed to identify tokens that may be exposed in application configurations or other contexts. This helps in mitigating unauthorized access and maintaining the security of API integrations.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
16 days 18 hours
Scan only one
URL
Toolbox
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Sendinblue, a popular email marketing service, is widely used by small to medium-sized businesses and enterprises to manage their marketing campaigns. This software offers cloud-based solutions that integrate email marketing, marketing automation, and customer relationship management (CRM). As users rely on its API for sending emails and managing marketing activities, correct use and management of API keys are critical. Any exposure of these keys could provide unauthorized access to sensitive data and allow misuse of the account. Therefore, having a scanner for Sendinblue API Tokens is crucial for maintaining the integrity and confidentiality of the marketing operations. Security personnel and IT admins often deploy such scanners to ensure the safety of their digital marketing infrastructure.
This vulnerability involves the potential exposure of Sendinblue API Tokens used in applications. API Tokens exposed can lead to unauthorized access to Sendinblue accounts, which can compromise email campaigns and marketing data. Tokens can be inadvertently embedded in code repositories, configuration files, or error logs, making them a target for attackers. Detecting these exposures early helps in reducing risks associated with credential leaking and unauthorized access. Such vulnerabilities are critical as they allow potential attackers to bypass security measures and utilize the APIs as legitimate users.
The vulnerability details for Sendinblue API Token Exposure include the extraction of API tokens from HTTP responses. The vulnerable endpoints tend to leak tokens via GET requests where API tokens are embedded in the response body. The scanner relies on regex patterns to identify these tokens, ensuring a systematic search for indicators of exposure. Typically, these tokens appear in a structured format, making regex a viable approach for detection. The extractor pattern mentioned matches tokens that fit the 'xkeysib-
When Sendinblue API Tokens are exposed, the potential effects can be severe for an organization's marketing efforts. Unauthorized users may gain access to Sendinblue accounts, allowing them to send emails, manipulate campaigns, or access sensitive marketing data. This could lead to data leaks, reputation damage, and unauthorized financial expenditures due to misuse of the account. Furthermore, if an exposed token is exploited, it might lead to disruptions in legitimate marketing operations and possible legal consequences for failing to protect customer information. Early detection and remediation are thus vital in mitigating these risks.