CVE-2026-51918 in FinRobot
Summary
by MITRE • 10/02/2026
FinRobot 1.0.0 contains code injection in CodingUtils.create_file_with_code ().
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Analysis
by VulDB Data Team • 10/02/2026
The vulnerability identified in FinRobot version 1.0.0 involves a critical code injection flaw located within the CodingUtils.create_file_with_code function. This specific component is designed to generate and write source code files, likely as part of an automated financial analysis or algorithmic trading workflow where dynamic script generation is required. The core technical deficiency lies in the insufficient sanitization and validation of user-supplied input before it is processed by the underlying execution engine or written directly into a file that may subsequently be executed. By failing to properly escape special characters, filter dangerous payloads, or enforce strict type checking on the code string being created, the application allows an attacker to inject arbitrary commands or malicious script fragments. This represents a classic instance of improper input validation where trusted context is assumed for data that originates from potentially untrusted sources, such as user prompts in a chat interface or external API inputs feeding into the financial bot's logic layer.
From a technical perspective, this flaw aligns directly with CWE-94 Improper Control of Generation of Code (Code Injection). The vulnerability exploits the application's ability to interpret and execute dynamically generated content without adequate safeguards. When an attacker provides a crafted input string containing shell commands, Python code execution statements, or other executable payloads, the CodingUtils module processes this input as legitimate code rather than treating it as raw data requiring sanitization. This misinterpretation allows for arbitrary command execution on the host system where FinRobot is deployed. The severity of this issue is compounded by the fact that financial bots often operate with elevated privileges to access market data APIs and execute trades, meaning a successful exploitation could lead not only to local system compromise but also to unauthorized financial transactions or manipulation of trading algorithms.
The operational impact of this vulnerability extends beyond simple remote code execution. An attacker who successfully exploits this injection flaw can achieve full control over the underlying operating environment running FinRobot. This includes the ability to read sensitive configuration files, exfiltrate API keys and authentication tokens stored in local storage, modify existing trading strategies, or deploy additional malware for persistent access. In a financial context, the implications are particularly severe as it could lead to direct monetary loss through unauthorized trades, market manipulation by altering algorithmic parameters, or disruption of service by crashing critical processes. The attack vector is likely remote if FinRobot exposes an interface that accepts user inputs leading to this function, making it accessible to external adversaries without requiring prior authentication in some configurations, or allowing privilege escalation for authenticated users with lower-level access rights.
This vulnerability maps closely to the MITRE ATT&CK technique T1059 Command and Scripting Interpreter, specifically regarding the abuse of system utilities through injected code. It also relates to T1190 Exploit Public-Facing Application if the entry point is exposed via a network service. To mitigate this risk, immediate remediation should focus on implementing strict input validation within the CodingUtils.create_file_with_code function. Developers must enforce allow-listing for acceptable characters and syntax patterns rather than relying solely on blocklists of known malicious strings. Additionally, employing parameterized approaches or sandboxed execution environments where generated code is run with restricted permissions can significantly reduce the blast radius of any successful injection attempt. It is also recommended to review all other instances in the FinRobot codebase that handle dynamic code generation to ensure consistent security practices are applied across the entire application architecture.