CVE-2026-51917 in FinRobot
Summary
by MITRE • 10/02/2026
FinRobot v1.0.0 is vulnerable to Code Injection in CodingUtils.modify_code.
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Analysis
by VulDB Data Team • 10/02/2026
The vulnerability identified in FinRobot version 1.0.0 represents a critical security flaw within the CodingUtils module, specifically located in the modify_code function. This component is designed to facilitate programmatic alterations to source code or configuration files, likely serving as an intermediary for automated development workflows or financial data processing scripts. The core issue stems from insufficient sanitization and validation of user-supplied input before it is processed by underlying system commands or interpreted by a scripting engine. When the modify_code function accepts external parameters without rigorous type checking or context-aware escaping, it creates a pathway for arbitrary code execution. This flaw allows an attacker to inject malicious payloads that are subsequently executed with the privileges of the application running FinRobot, potentially leading to full system compromise if the service is operating with elevated permissions.
From a technical perspective, this vulnerability aligns closely with CWE-94, commonly known as Improper Control of Generation of Code or CGI, and more specifically CWE-78, which pertains to OS Command Injection depending on how the code modification is implemented internally. If the function constructs shell commands dynamically using unsanitized input, it falls under OS command injection. If it involves evaluating strings as source code without proper sandboxing, it aligns with improper control of code generation. The lack of strict boundaries between data and executable logic means that special characters such as semicolons, pipes, or backticks can be used to break out of the intended context and execute arbitrary system commands or scripts. This is particularly dangerous in financial technology environments where automation tools often have broad access to sensitive databases and trading systems.
The operational impact of this vulnerability is severe, potentially allowing an attacker to exfiltrate confidential financial data, modify transaction records, disrupt automated trading algorithms, or establish persistent backdoors within the infrastructure. Since FinRobot likely interacts with real-time market data and execution engines, successful exploitation could lead to significant financial loss and reputational damage. The attack vector may be remote if the function is exposed via an API endpoint, requiring only authentication credentials that might be compromised through other means such as phishing or credential stuffing attacks. Once authenticated, the attacker can leverage this code injection capability to pivot further into the network, escalating privileges and moving laterally across connected systems.
Mitigation strategies must focus on strict input validation and secure coding practices immediately. Developers should implement allow-listing for all inputs passed to the modify_code function, ensuring that only expected characters and formats are accepted. It is crucial to avoid using dynamic code evaluation or shell command construction with user-supplied data; instead, use parameterized APIs or safe libraries designed specifically for code manipulation. If external commands must be invoked, they should never include direct concatenation of user input. Additionally, deploying the application in a least-privilege environment limits the blast radius of any successful exploitation. Regular security audits and static analysis tools configured to detect injection vulnerabilities can help identify similar flaws before deployment. Updating to patched versions as soon as available is essential, alongside implementing runtime protection mechanisms such as Web Application Firewalls that can inspect and block malicious payloads targeting this endpoint.