CVE-2016-10215 in BigTree bigtree-form-builder
Summary
by MITRE
An issue was discovered in Fastspot BigTree bigtree-form-builder before 1.2. The vulnerability exists due to insufficient filtration of user-supplied data in multiple HTTP POST parameters passed to a "site/index.php/../../extensions/com.fastspot.form-builder/ajax/redraw-field.php" URL. An attacker could execute arbitrary HTML and script code in a browser in the context of the vulnerable website.
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Analysis
by VulDB Data Team • 11/12/2022
This vulnerability represents a classic cross-site scripting flaw that emerged in the Fastspot BigTree CMS form builder component prior to version 1.2. The security issue stems from inadequate input validation and sanitization mechanisms within the application's handling of HTTP POST parameters. Attackers could exploit this weakness by crafting malicious payloads that would be directly embedded into the web application's response without proper filtering or encoding. The specific endpoint affected is located at site/index.php/../../extensions/com.fastspot.form-builder/ajax/redraw-field.php, which suggests a path traversal component combined with insecure parameter processing. This vulnerability falls under the CWE-79 category for Cross-Site Scripting, specifically representing a reflected XSS attack vector where user-supplied data flows directly into the web application's output without appropriate sanitization.
The operational impact of this vulnerability is significant as it allows attackers to execute arbitrary HTML and JavaScript code within the context of the vulnerable website. This means that any user who interacts with the affected form builder functionality could potentially be compromised through malicious script injection. The vulnerability is particularly dangerous because it operates at the client-side execution level, enabling attackers to perform actions such as session hijacking, credential theft, or redirection to malicious sites. The reflected nature of the attack suggests that the malicious payload must be delivered through a crafted URL or form submission that gets processed by the vulnerable component. This creates a scenario where an attacker could send a malicious link to victims or inject code through compromised user accounts.
The exploitation of this vulnerability requires minimal technical expertise and can be executed through standard web application attack methodologies. Attackers typically need to craft malicious HTTP POST requests containing script tags or other malicious code within the affected parameters. The vulnerability's presence in the form builder component indicates that it affects web applications that rely on dynamic form generation and processing. This type of vulnerability is particularly concerning in enterprise environments where CMS platforms like BigTree are commonly deployed, as it can serve as a stepping stone for more complex attacks. The issue aligns with ATT&CK technique T1566.001 for Phishing and T1059.007 for Command and Scripting Interpreter, as it enables both initial compromise through malicious payloads and execution of arbitrary code on target systems.
Organizations should immediately implement several mitigation strategies to address this vulnerability. The most critical step is to upgrade to version 1.2 or later of the BigTree form builder component where the input sanitization issues have been resolved. Additionally, implementing proper input validation and output encoding mechanisms at the application level can prevent similar vulnerabilities from occurring. Web Application Firewalls should be configured to detect and block malicious payloads targeting known XSS attack patterns. Regular security assessments and code reviews focusing on input handling and parameter validation should be conducted to identify similar issues. The vulnerability demonstrates the importance of following secure coding practices and implementing defense-in-depth strategies that include both server-side validation and client-side sanitization to prevent XSS attacks from compromising user sessions and data integrity.