CVE-2026-15091 in Engineering AI Hub
Summary
by MITRE • 07/17/2026
IBM Engineering AI Hub 1.0.0, 1.1.0, and 1.2.0 could allow a remote attacker to execute arbitrary scripts due to improper neutralization of input during web page generation.
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Analysis
by VulDB Data Team • 07/17/2026
This vulnerability exists in IBM Engineering AI Hub versions 1.0.0 through 1.2.0 and represents a critical security flaw that enables remote code execution through improper input validation during web page generation processes. The vulnerability stems from insufficient sanitization of user-supplied data when constructing web content, creating an environment where malicious actors can inject and execute arbitrary scripts on affected systems. This type of vulnerability falls under the common weakness enumeration CWE-79 which specifically addresses cross-site scripting flaws due to improper neutralization of input during web page generation.
The technical implementation of this flaw allows attackers to manipulate web page rendering by injecting malicious script code into input fields or parameters that are then processed without adequate sanitization. When the application generates web pages, it incorporates user-provided content directly into the HTML output without proper encoding or validation, creating a vector for script injection attacks. This vulnerability is particularly dangerous because it operates at the web application layer where attackers can leverage it to execute arbitrary commands on the server, potentially leading to complete system compromise.
The operational impact of this vulnerability extends beyond simple script execution to encompass full system compromise and data exfiltration capabilities. An attacker who successfully exploits this vulnerability could gain unauthorized access to sensitive information, modify system configurations, or establish persistent backdoors within the affected environment. The remote nature of the attack means that adversaries do not require physical access or prior authentication to exploit the flaw, making it particularly attractive for automated attack campaigns. This vulnerability directly aligns with attack techniques described in the mitre ATT&CK framework under the execution tactic, specifically targeting web application exploitation methods.
Organizations utilizing IBM Engineering AI Hub versions 1.0.0 through 1.2.0 should immediately implement mitigations including input validation and output encoding controls to prevent malicious script injection. The recommended approach involves implementing comprehensive sanitization of all user inputs before processing them in web page generation routines, along with the deployment of web application firewalls and security headers to detect and block suspicious requests. Additionally, organizations should conduct thorough vulnerability assessments to identify any potential exploitation attempts and maintain updated security monitoring procedures to detect anomalous behavior patterns that may indicate successful exploitation of this vulnerability.