CVE-2026-69662 in TMS7
Summary
by MITRE • 09/30/2026
The application uses unsafe functions that allow execution of inline scripts and string evaluation functions.
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Analysis
by VulDB Data Team • 09/30/2026
The described vulnerability stems from the use of insecure programming practices involving dynamic code execution, specifically through the utilization of unsafe functions capable of executing inline scripts or evaluating strings as executable code. This architectural flaw typically manifests when an application accepts user-supplied input and passes it directly to functions such as eval in JavaScript, exec in Python, or similar mechanisms in other languages without adequate sanitization or validation. By allowing arbitrary string evaluation, the system inadvertently grants attackers a mechanism to inject malicious payloads that are interpreted not merely as data but as active commands within the application's runtime environment. This represents a fundamental failure in input handling and context separation, where the boundary between trusted code logic and untrusted user data is blurred, creating a pathway for remote code execution or significant behavioral manipulation of the target system.
From a technical perspective, this vulnerability aligns closely with Common Weakness Enumeration identifier CWE-95, known as Improper Neutralization of Directives in Dynamically Evaluated Code, often referred to generically as Server-Side Request Forgery if it involves network requests, or more accurately here as Dynamic Code Evaluation. It also intersects with CWE-79, the classic Cross-Site Scripting vulnerability, particularly when the inline scripts are rendered in a browser context without proper encoding. The core issue lies in the application's inability to distinguish between code and data. When an attacker provides a string that is syntactically valid within the execution engine of the language being used, the interpreter or compiler will execute it as part of the program flow. This can lead to arbitrary command execution on the server if the backend processes are running with elevated privileges, or session hijacking and defacement in client-side contexts where malicious scripts alter page behavior or steal sensitive cookies and authentication tokens.
The operational impact of such a vulnerability is severe and multifaceted. In web applications, it often results in full account compromise through stolen session identifiers, allowing attackers to impersonate legitimate users and access restricted resources. If the vulnerable function operates on the server side with sufficient permissions, an attacker could potentially execute system-level commands, leading to complete host takeover, data exfiltration, or use of the compromised machine as a pivot point for further attacks within the internal network. Furthermore, this type of flaw can be leveraged in conjunction with other vulnerabilities, such as SQL injection, by using string evaluation functions to construct complex queries dynamically without proper parameterization. The presence of inline script execution also facilitates persistent threats like stored cross-site scripting, where malicious code is saved on the server and served to multiple victims, amplifying the blast radius significantly beyond a single interaction.
Mitigation strategies must focus on strict input validation and output encoding rather than relying solely on blacklist approaches which are easily bypassed. Developers should avoid using dynamic evaluation functions entirely whenever possible, opting instead for static configuration or explicit function calls that map specific inputs to predefined actions. If dynamic behavior is absolutely necessary, the application must implement rigorous allow-listing of permitted characters and structures within user input. For client-side contexts, implementing Content Security Policy headers can restrict the sources from which scripts are loaded and prevent inline script execution by default. Additionally, using modern frameworks that automatically escape output when rendering data into HTML context can significantly reduce the risk. Regular security code reviews focusing on dynamic evaluation patterns and automated static analysis tools configured to detect unsafe function calls are essential for identifying and remediating these weaknesses before deployment.
This vulnerability is frequently associated with ATT&CK technique T1059, Command and Scripting Interpreter, specifically sub-techniques related to JavaScript or Python depending on the language stack involved. It also relates to T1190, Exploit Public-Facing Application, as it represents a common entry point for attackers targeting web services. Addressing this issue requires a shift in development mindset towards secure coding standards that prioritize type safety and explicit intent over dynamic flexibility. By enforcing strict separation between code logic and user data, organizations can effectively neutralize the threat posed by unsafe string evaluation functions and inline script execution, thereby hardening their applications against one of the most prevalent and dangerous classes of web vulnerabilities.