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Octobercms, a self-hosted CMS platform based on the Laravel PHP Framework, was found to have a vulnerability where a compromised gateway could cause data breaches. The vulnerability (CVE-2022-23655) affected versions 1.0.474 and 1.1.10, and was discovered and disclosed on February 23, 2022. The issue impacted authors of plugins and themes listed on the October CMS marketplace, where end-users could inadvertently expose authors to potential financial loss by entering their private license keys into a compromised server (GitHub Advisory).
The vulnerability involved a project fork of October CMS v1.0 using a compromised gateway to access the October CMS marketplace service. The attack utilized a "man in the middle" mechanism where the compromised gateway server would capture information while forwarding requests to the genuine October CMS gateway and relaying responses back to the client. The compromised server would store license keys, client information (name, email), and contents of purchased plugins and privately uploaded plugin files (GitHub Advisory).
The vulnerability allowed attackers to capture personal and business information of users and authors, including private source code files. Additionally, captured plugin files were being freely redistributed to other users without authorization. This posed significant risks to intellectual property and could lead to financial losses for plugin and theme authors (GitHub Advisory).
The vulnerability was patched in versions 1.0.475 and 1.1.11. For users unable to upgrade, a manual patch (commit e3b455a) could be applied. Users were advised to not share their license keys with anyone except October CMS, verify their gateway update server hadn't been modified, and be aware of phishing websites. Plugin authors were recommended to verify legitimate plugin ownership before providing support (GitHub Advisory).
The vulnerability was researched and reported by security researchers Vladimir Pyankov and Nikita Khaetsky (GitHub Advisory).
Source: This report was generated using AI
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