CVE-2026-107828 in Jivejdon
Summary
by MITRE • 10/09/2026
Jivejdon through 5.0 contains an authentication bypass vulnerability that allows unauthenticated attackers to access Weibo-created accounts by deriving predictable credentials from public Weibo user IDs. OAuthAccountServiceImp.transferSina() sets the password to the first four digits of the Weibo ID, letting attackers log in through normal form login to read or post as victims.
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Analysis
by VulDB Data Team • 10/09/2026
The vulnerability identified in Jivejdon versions up to 5.0 represents a critical authentication bypass flaw rooted in insecure credential management practices within its social media integration module. Specifically, the OAuthAccountServiceImp.transferSina() method is responsible for handling account synchronization with Sina Weibo, a major Chinese microblogging platform. Instead of generating cryptographically secure random passwords or utilizing token-based session management for newly created accounts derived from Weibo integrations, the application employs a deterministic and predictable algorithm to set user credentials. The system extracts the first four digits of the victim's public Weibo ID and uses this sequence as the account password. This design choice fundamentally undermines the security model by relying on information that is publicly accessible rather than secret material known only to the legitimate user or generated securely by the server.
From a technical perspective, this flaw constitutes an insecure direct object reference combined with weak credential generation mechanisms. Because Weibo IDs are public identifiers often shared across various social platforms and visible in profile URLs or API responses, attackers can easily obtain these values without any prior authentication. By applying the same logic used by the application to derive passwords, an attacker can compute the exact password for a target account simply by knowing their Weibo ID. This allows the adversary to bypass all intended access controls and authenticate via the standard form login interface as if they were the legitimate user. The vulnerability is particularly severe because it does not require complex exploitation techniques or network-level interception; it relies solely on publicly available data and straightforward computation, making it highly scalable for automated attacks against multiple targets simultaneously.
The operational impact of this vulnerability is significant, granting unauthenticated attackers full control over victim accounts within the Jivejdon platform. Once authenticated using these derived credentials, an attacker can perform actions indistinguishable from those of a legitimate user. This includes reading private messages, accessing personal profile information, and posting content on behalf of the victim. Such capabilities facilitate severe privacy violations, reputational damage through malicious postings, and potential phishing campaigns where attackers send deceptive communications to the victim's contacts using their trusted identity. Furthermore, if users reuse passwords across other services or if account recovery mechanisms are tied to email addresses accessible via social media profiles, the risk extends beyond the immediate application context into broader credential stuffing scenarios.
This vulnerability aligns with several established industry standards and taxonomies that categorize security weaknesses. It is classified under CWE-798: Use of Hard-coded Credentials, as it involves using a predictable value derived from public data rather than secure random generation. Additionally, it falls under CWE-287: Improper Authentication, specifically regarding the failure to verify identity with sufficient complexity or secrecy. In terms of offensive security frameworks like MITRE ATT&CK, this behavior facilitates Account Manipulation and Credential Access techniques, allowing adversaries to establish persistence and impersonation without triggering typical intrusion detection systems that look for brute-force patterns or unusual login sources rather than simple credential guessing based on public data.
Mitigation strategies must focus on eliminating the reliance on predictable identifiers for security-critical secrets. The immediate remediation involves modifying the OAuthAccountServiceImp.transferSina() method to generate strong, random passwords using a cryptographically secure pseudo-random number generator (CSPRNG) when creating new accounts from Weibo integrations. Alternatively, if password-based login is not strictly necessary for these integrated accounts, implementing single sign-on flows that rely on valid OAuth tokens rather than storing or generating static passwords would eliminate the attack surface entirely. Organizations should also enforce multi-factor authentication where possible to add a layer of defense even if credential prediction occurs. Regular security code reviews and automated static analysis tools configured to detect hard-coded or predictable password generation patterns are essential preventive measures against such implementation flaws in future development cycles.