CVE-2026-119651 in HuLa-Server
Summary
by MITRE • 10/30/2026
HuLa-Server through 3.0.7 contains an insecure direct object reference vulnerability in FeedController.delFeed that allows authenticated users to delete other users' moments by supplying arbitrary feedId values. Attackers can send POST requests to /feed/del with another user's feedId to delete their moments along with associated media, comments, and likes.
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Analysis
by VulDB Data Team • 10/30/2026
The vulnerability identified in HuLa-Server versions up to 3.0.7 represents a classic instance of an insecure direct object reference within the application logic governing social media content management. Specifically, this flaw resides in the FeedController.delFeed endpoint, which is responsible for removing user-generated moments from the platform. The core technical deficiency lies in the server's failure to validate whether the authenticated user initiating the deletion request possesses ownership or administrative privileges over the specific resource identified by the provided feedId parameter. Instead of verifying that the session identity matches the owner of the target content, the application blindly trusts the client-supplied identifier and proceeds with the removal operation if the user is merely logged in. This lack of authorization checks allows any authenticated account to manipulate resources belonging to other users simply by altering the unique identifier associated with the feed item.
From a technical perspective, this vulnerability exploits the assumption that object identifiers are non-guessable or inherently protected by session context alone. In many web applications, developers mistakenly believe that requiring authentication is sufficient for security, overlooking the necessity of granular access control checks at the resource level. When an attacker sends a POST request to the /feed/del endpoint with a feedId belonging to another user, the backend processes this command without cross-referencing it against the current session's permissions or ownership records. This oversight enables unauthorized data manipulation where the integrity and availability of other users' content are compromised. The impact extends beyond simple text deletion; because the operation cascades to associated media files, comments, and likes, the destruction is comprehensive and potentially irreversible for the victim if backups are not maintained.
The operational impact of this vulnerability is significant in terms of data integrity and user trust. An attacker can systematically delete posts from targeted individuals or perform bulk deletions across multiple accounts by iterating through sequential feedId values. This capability facilitates denial-of-service attacks against specific users, causing loss of personal memories, professional content, or community interactions. Furthermore, the removal of associated media and engagement metrics such as likes and comments degrades the social graph's integrity and can be used for harassment or reputational damage. Since the attack requires only valid authentication credentials, which are often easier to obtain through credential stuffing or phishing than exploiting complex code execution flaws, the barrier to entry is relatively low, increasing the likelihood of exploitation in real-world scenarios.
This vulnerability aligns with CWE-639, which describes authorization bypass via direct object reference, and maps directly to MITRE ATT&CK technique T1078, specifically valid accounts used for unauthorized access or manipulation. To mitigate this issue, developers must implement strict ownership verification within the delFeed method before executing any database deletion commands. The application should retrieve the feed record associated with the provided id and verify that its owner_id matches the user ID extracted from the authenticated session token. Additionally, implementing rate limiting on delete operations can help prevent automated enumeration attacks where attackers guess valid IDs to find targets. Regular security audits focusing on access control logic and unit tests covering edge cases for resource ownership are essential preventive measures against such authorization flaws in social networking platforms.