Piwigo Panel Detection Scanner
This scanner detects the use of Piwigo in digital assets. It helps identify the presence of Piwigo login panels in online environments to ensure security and compliance.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
23 days 6 hours
Scan only one
URL
Toolbox
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Piwigo is a photo gallery software primarily used by photographers, amateur photographers, and organizations looking to manage large sets of digital images efficiently. It is deployed in different environments such as personal websites, photo portfolios, and educational institutions. The software provides a range of features, including the ability to organize photos, set access rights, and share galleries. Users commonly use it for its open-source flexibility and its compatibility with numerous plugins and themes. Piwigo offers a user-friendly interface, making it accessible to individuals without extensive technical expertise. Overall, Piwigo is valued for its adaptability and capacity to handle extensive photo collections.
The vulnerability detected by this scanner is related to the identification of Piwigo's login panels. This detection helps in mapping out the possible attack surfaces, understood as entry points that could be exploited if not properly secured. Though this detection does not indicate a direct threat, it aids in recognizing where attention should be directed to strengthen cyber defenses. Knowing of the presence of login panels allows system administrators to proactively manage access controls. This stage of reconnaissance is fundamental to bolstering the security posture. Identifying login panels assists in ensuring that up-to-date security practices are employed.
Technically, this scanner focuses on identifying specific web elements related to the Piwigo login panel, achieved by matching certain keywords found within the body of the web page. It interacts with endpoints such as the site's base URL and the 'identification.php' resource. The scanner cross-verifies by looking for predefined words and structure clues, such as specific tags and status codes indicative of a login page presence. By using these match conditions, the scanner effectively determines whether the page aligns with known templates of Piwigo's login interface. The detection process leverages regular expression-based extractors to confirm its findings by identifying version-related metadata.
The possible effects of detecting a Piwigo login panel, without appropriate security measures, could lead to attempts at unauthorized access. This weakens the protected perimeters of the digital environment using Piwigo. Attackers could potentially try credentials stuffing attacks if default or weak credentials might be in use. Additionally, public knowledge of login page locations offers a baseline for more insidious infiltration methods. As lines of defense are advertised through misconfigurations, attackers could exploit these vulnerabilities to penetrate deeper into a network structure. Proactive measures and well-configured access protocols help mitigate these risks.
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