InfluxDB Detection Scanner

InfluxDB is a time series database system primarily used for storage, processing, and real-time querying on time-stamped data. It is widely utilized by businesses and developers for monitoring and analytics purposes, helping to track metrics and events across diverse systems. The database is often implemented in DevOps, IoT, and real-time analytics environments due to its high performance and scalability. Organizations leverage InfluxDB for its flexible data retention policies and powerful query languages tailored for time series data analysis. It is commonly deployed with visualization tools to provide insights into system health and performance. This technology is especially prevalent in large infrastructures where continuous data influx and analysis are critical for operational efficiency.

Technology Detection vulnerabilities relate to the identification of specific technologies used within a digital infrastructure. The detection of such technologies, such as InfluxDB in this case, can inform security practices by highlighting possible points of concern that require attention. Identifying the version of the software in use allows for targeted security assessments and patch management, reducing exposure to known vulnerabilities. Technology Detection assists in maintaining an up-to-date inventory of technological components in an IT ecosystem. This helps administrators prioritize resources and efforts towards ensuring security and compliance. It also aids in the identification of unsupported or outdated software that might pose unforeseen risks.

The vulnerability lies in the HTTP header where InfluxDB exposes its version information via the 'X-Influxdb-' header. By sending a GET request to the server, you can retrieve this header containing the version details. The extracted information can be utilized by malicious individuals to launch attacks based on known vulnerabilities of the specific version in use. The inclusion of version information within HTTP headers can potentially allow adversaries to exploit old or unpatched software instances. Understanding the header structure and manipulating HTTP requests are essential for exploiting this vulnerability efficiently. The detection of this information is crucial for maintaining security practices and patch updates.

If exploited by malicious actors, this vulnerability could lead to scenarios where specific attacks are tailored according to the identified software version. Untimely disclosure of software used can assist adversaries in identifying systems susceptible to previously discovered exploits. Attackers might use the obtained version information to deliver payloads optimized to exploit any vulnerabilities present in that particular version. Successful attacks could potentially disrupt operations, lead to unauthorized access, or result in data breaches. It's crucial for administrative controls to be in place to avoid information leakage through such headers, solidifying the system's security posture.

REFERENCES

• https://docs.influxdata.com/influxdb/v1.8/tools/api/#ping-http-endpoint
• https://github.com/influxdata/influxdb/blob/master/http/platform_handler.go#L62