OSIsoft PI Vision Panel Detection Scanner
This scanner detects the use of OSIsoft PI Vision in digital assets. It identifies exposed login panels that might provide unwanted access to sensitive operational technology data.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
19 days 13 hours
Scan only one
URL
Toolbox
OSIsoft PI Vision is a web-based data visualization platform commonly used in industries such as energy, utilities, oil and gas, and manufacturing. It serves as a tool for visualizing and interacting with data stored in the PI System in real time. The platform provides users with a graphical user interface to access and analyze complex datasets efficiently. PI Vision is integral for operational data monitoring, allowing companies to make informed decisions based on real-time data insights. This integration aids businesses in improving operational efficiency and optimizing processes based on real-world data scenarios. OSIsoft PI Vision plays a vital role in ensuring process accessibility and digital infrastructure visualization.
The vulnerability detected involves exposed login panels for OSIsoft PI Vision. These panels can inadvertently reveal sensitive operational technology data if not properly secured. Unauthorized access to these panels can lead to data breaches and manipulation of real-time operational data. Such exposure is particularly risky for industries relying on continuous monitoring and operational integrity. Identifying these exposed panels is crucial for maintaining the security posture of organizations using PI Vision. This detection helps in pinpointing security misconfigurations that could potentially allow unauthorized access.
The vulnerable endpoint identified by this scanner involves the login panel of OSIsoft PI Vision. It checks the status code returned to ensure the login page is reachable. The detection process involves verifying the existence of specific content indicators within the webpage, such as the presence of phrases like "PI Vision User Guide," "PI Vision display," or "project=PIVISION." The scanner effectively identifies these elements within the response body to confirm exposure. By exploiting these endpoints, unauthorized users could gain entry to sensitive datasets and operational technology data. This could lead to intellectual property theft and operational disruptions if not properly mitigated.
When this vulnerability is exploited, the potential effects include unauthorized data access and operational technology data leakage. Malicious actors could intercept, modify, or destroy data critical for operational processes. This could lead to service disruptions, financial losses, and reputational damage for organizations. Additionally, compromised login panels may provide a foothold for further attacks on the system and its connected networks. Lost control over operational monitoring could significantly impact decision-making capabilities, leading to increased operational risks. Proactive detection and remediation of this vulnerability are essential to safeguard against these potential threats.
REFERENCES