CVE-2026-100190 in AIL Framework
Summary
by MITRE • 09/25/2026
The AIL Framework crawler splash domain page (showDomain.html) is vulnerable to stored cross-site script injection (XSS). User-supplied data originating from imported crawler captures—specifically item IDs, URLs, and screenshot file paths—was interpolated directly into inline JavaScript contexts within the HTML template. This included an onclick attribute that embedded raw screenshot and URL values into a JavaScript function call, and an inline script block that assigned a screenshot value to a JavaScript variable without escaping. An attacker with a user-role API client could craft a malicious crawler capture import containing JavaScript payloads in these fields. When any user (including privileged users) subsequently viewed the affected domain page, the injected script would execute in the victim's browser context, potentially allowing session hijacking, data exfiltration, or unauthorized actions on behalf of the victim. The vulnerability is stored in the application's data layer and triggered upon page rendering, requiring no further interaction beyond loading the domain view.
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Analysis
by VulDB Data Team • 09/25/2026
The AIL Framework presents a critical security deficiency within its crawler splash domain interface, specifically located in the showDomain.html template file. This component serves as a visualization tool for displaying captured web assets, including item identifiers, target URLs, and associated screenshot artifacts. The core technical flaw stems from improper input validation and output encoding mechanisms when processing data imported via the application's API client functionality. User-supplied values originating from these crawler captures are interpolated directly into inline JavaScript contexts without adequate sanitization or escaping procedures. This architectural oversight allows malicious actors to inject executable script payloads that persist within the system's database, creating a classic stored cross-site scripting vulnerability where the payload is retained on the target server and executed whenever the vulnerable page is accessed by any user.
The specific technical execution path involves two primary injection vectors embedded within the HTML template structure. First, an onclick attribute associated with interactive elements embeds raw screenshot paths and URL values directly into JavaScript function calls without encoding special characters such as quotes or angle brackets. Second, a separate inline script block assigns these same untrusted data sources to local JavaScript variables for rendering purposes. Because the framework fails to apply context-aware escaping before inserting this dynamic content into the DOM, an attacker with access to a standard user-role API client can craft a malicious crawler capture import containing obfuscated or direct JavaScript code within fields like item IDs, URLs, or screenshot file paths. This data is stored in the backend database and subsequently rendered on the frontend without triggering any security filters or validation checks that would neutralize the script tags or event handlers.
The operational impact of this vulnerability is severe due to its persistent nature and broad attack surface. Unlike reflected XSS which requires a victim to click a specially crafted link, this stored variant triggers automatically upon page rendering. Consequently, any user who navigates to view the affected domain page will have their browser execute the injected scripts within the context of the AIL Framework application. This execution environment grants the malicious script full access to the session cookies, local storage data, and DOM elements associated with the victim's active session. Attackers can leverage this capability to perform session hijacking by stealing authentication tokens or cookies, facilitating unauthorized administrative actions such as modifying crawler configurations or exporting sensitive intelligence reports. Furthermore, the vulnerability enables comprehensive data exfiltration where user inputs from forms within the application are harvested and transmitted to an external attacker-controlled server without any visual indication of compromise to the victim.
From a classification perspective, this flaw aligns with CWE-79 Improper Neutralization of Input During Web Page Generation commonly known as Cross-site Scripting. The specific mechanism of storing malicious content in a database for later execution corresponds closely to stored XSS patterns often categorized under injection flaws where input validation is bypassed at the application layer rather than the network or web server level. In terms of adversary behavior, this vulnerability supports techniques associated with ATT&CK T1059 Command and Scripting Interpreter through JavaScript, allowing attackers to execute arbitrary code within the victim's browser environment. It also facilitates credential access via T1539 Steal Web Session Cookie if session management tokens are not sufficiently protected by HttpOnly flags or secure attributes that might be bypassed depending on the specific browser configuration and application security headers implemented.
Mitigation strategies must address both immediate remediation and long-term architectural improvements. The most critical step is to implement strict output encoding for all dynamic content inserted into JavaScript contexts, ensuring that special characters are escaped according to their specific context within the DOM tree. Developers should replace direct interpolation with safe templating methods or use libraries designed to prevent XSS by automatically escaping untrusted data before rendering. Additionally, implementing a Content Security Policy header can significantly reduce the impact of any remaining vulnerabilities by restricting the sources from which scripts can be loaded and executed. Input validation on the API endpoint responsible for processing crawler captures should also be strengthened to reject payloads containing script tags or event handler attributes before they are persisted in the database. Regular security audits focusing on data flow analysis between user inputs and JavaScript execution contexts will help identify similar latent vulnerabilities within other components of the framework.