CVE-2026-85030 in AI-Trader
Summary
by MITRE • 09/03/2026
A vulnerability has been found in HKUDS AI-Trader up to d03ff6c056b32ced735adf7c19ed8175adb1c8df. The affected element is an unknown function of the file service/server/routes_agent.py of the component selfRegister API Endpoint. Such manipulation of the argument initial_balance leads to business logic errors. The attack may be launched remotely. This attack is characterized by high complexity. The exploitability is described as difficult. The exploit has been disclosed to the public and may be used. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. profit_percent_for_display() divides by INITIAL_CAPITAL + deposited, and challenge scoring's return_pct also normalises against the attacker-inflated starting_cash. So an inflated initial_balance does not yield artificial percent returns - it inflates the absolute cash/equity column only, which is a cosmetic/leaderboard-gaming concern in a simulated game.
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Analysis
by VulDB Data Team • 09/03/2026
The vulnerability identified within HKUDS AI-Trader affects the selfRegister API Endpoint located in the service server routes agent module. This flaw stems from an improper handling of the initial_balance argument during user registration or account initialization processes. The core technical issue is rooted in business logic errors where the system fails to adequately validate or constrain the financial parameters provided by the client side before processing them into internal state variables. While the vulnerability allows for remote exploitation, it is characterized by high complexity and difficult exploitability due to the specific conditions required to trigger the unintended behavior effectively within the application's simulation environment.
The operational impact of this flaw centers on data integrity and fairness in simulated trading scenarios rather than direct system compromise or unauthorized access to sensitive infrastructure. Specifically, an attacker can manipulate the initial_balance parameter to inflate their starting capital beyond legitimate limits. This manipulation affects downstream calculations such as profit_percent_for_display() which divides returns by INITIAL_CAPRAL plus deposited amounts, and challenge scoring mechanisms that normalize performance against the attacker-inflated starting cash. Consequently, while the absolute cash or equity columns displayed in the user interface are artificially inflated, the percentage-based return metrics remain mathematically consistent relative to the inflated base. This means the primary impact is cosmetic and related to leaderboard gaming rather than a fundamental breakage of financial logic that would allow for actual monetary gain or system control.
From a classification perspective, this vulnerability aligns with CWE-840 which pertains to Incorrect Calculation of Business Logic Error. It also touches upon aspects of CWE-20 Improper Input Validation as the application accepts and processes unverified input values for critical financial parameters without sufficient sanitization or range checking. In terms of attack vectors, it falls under ATT&CK technique T1589 which involves Gathering Victim Identity Information, although in this specific context, the gathering is limited to establishing a fraudulent baseline state within the simulation rather than exfiltrating real-world identity data. The public disclosure and availability of exploits indicate that while the technical barrier to entry is high due to complexity, the potential for abuse by malicious actors seeking to game leaderboards or simulate unfair advantages in competitive environments is present.
Mitigation strategies should focus on implementing strict server-side validation for all financial input parameters regardless of client-side constraints. Developers must enforce maximum limits and realistic ranges for initial_balance during registration and account setup phases. Additionally, introducing independent verification mechanisms that cross-reference user-provided capital with predefined system constants can prevent inflation attacks. Since the product operates on a rolling release basis without fixed version numbers, immediate patching is essential across all active deployments to ensure consistent security postures. Regular code audits focusing on business logic flows and financial calculations are recommended to identify similar vulnerabilities in other modules that handle monetary values or performance metrics.