Retool Panel Detection Scanner
This scanner detects the use of Retool Panel in digital assets.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
11 days 19 hours
Scan only one
URL
Toolbox
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Retool is a flexible platform used by developers and teams to quickly build internal tools for operations across various industries. It is widely adopted in sectors like finance, healthcare, and IT for its convenience in creating dashboards and admin panels. Retool allows users to integrate with numerous data sources, enabling them to develop comprehensive applications. Its users value it for streamlining operations and enhancing productivity in managing internal workflows. Companies use Retool to facilitate real-time data management, analysis, and visualization. It is a crucial software for businesses aiming to optimize their operational efficiency.
The vulnerability identified relates to the detection of the Retool login panel. Recognizing this panel helps in identifying the presence of the Retool software in digital environments. Detecting the login panel gives insight into where the software might be vulnerable regarding sensitive access points. This detection is used for preventive measures, helping system administrators to secure or monitor these access points more effectively. Using detection methods, we can identify the login interfaces that might be exposed inadvertently. The vulnerability highlights potential security configurations needing review to enhance system integrity.
Technically, the vulnerability concerns the exposure of Retool's login panel endpoint. This includes requests that identify responses with typical Retool login page characteristics, like HTML titles or response codes. Through specific query matches, such as the presence of "<title>Retool</title>", it flags potential access points needing assessment. Additionally, the endpoint "/auth/login" and its response codes can be indicative of vulnerable configurations. This vulnerability is crucial in addressing unauthorized access risks. By detecting these parameters, potential entry points for unauthorized actions can be preempted.
Exploiting this vulnerability could allow attackers to identify service use for orchestrating further exploit attempts, such as brute force attacks. It could lead to unauthorized access, raising the risk of sensitive data exposure if systems are improperly secured post-detection. Misconfiguration due to this vulnerability might allow malicious actors to craft targeted phishing or social engineering attacks. Efficient detection and rectification can prevent unauthorized alterations to the software or misuse of user credentials. Failure to secure detected panels might result in disrupted business operations or data breaches.