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Apache Streampark Default Login Scanner

This scanner detects the use of Apache Streampark in digital assets. It helps identify installations with default login credentials that could be exploited for unauthorized access.

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

1 minute

Time Interval

2 weeks 7 hours

Scan only one

Domain, Subdomain, IPv4

Toolbox

-

Apache Streampark is a platform designed for developing and operating real-time applications, particularly those that process streaming data. It is commonly used by enterprises to streamline the development lifecycle of streaming applications. The platform supports a range of data processing engines and simplifies the management of data streams across distributed systems. Organizations using Apache Streampark benefit from its ability to handle large volumes of data efficiently and its integration capability with various data sources. The software is employed by data engineers and developers to build robust data processing pipelines rapidly. Streampark's widespread adoption in big data environments highlights the importance of securing installations against common vulnerabilities like default logins.

Default logins represent a significant vulnerability within software systems, allowing attackers to gain unauthorized access with ease. This scanner specifically targets the default login vulnerability in Apache Streampark installations. It determines whether the default credentials, which are sometimes left unchanged after installation, are still in effect. Default login credentials are a frequent oversight, especially in test deployments, posing a risk of exposure if not addressed. In environments utilizing Apache Streampark, the security risk is compounded due to the potential exposure of sensitive data streams. Detecting this vulnerability enables organizations to remediate potential security gaps efficiently.

This scanner assesses Apache Streampark deployments by attempting a login using default credentials. It employs an HTTP POST request to the login endpoint and verifies successful accesses using the matchers for expected response structure. By scrutinizing key response elements such as status codes and content type, the scanner effectively identifies insecure instances. Attention is given to the POST request's payload, which includes possible default usernames and passwords. Identifying default credentials enables IT security teams to rectify security lapses, thus protecting against potential misuse. The scanner is vital for maintaining secure configurations in Apache Streampark environments.

Exploiting this vulnerability can lead to unauthorized access to the Streampark management portal. Attackers could manipulate data streams, modify system configurations, or perform other malicious activities. This can result in the exposure of sensitive data, disruption of data processing activities, and potentially a complete takeover of the system's functionalities. Unauthorized accesses jeopardize the network integrity and can cause significant operational and reputational damage. Therefore, recognizing and mitigating default account vulnerabilities is crucial for maintaining the security of data-intensive operations.

REFERENCES

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