CVE-2024-10732 in OA 2017
Summary
by MITRE • 11/03/2024
A vulnerability has been found in Tongda OA 2017 up to 11.10 and classified as critical. Affected by this vulnerability is an unknown functionality of the file /module/word_model/view/index.php. The manipulation of the argument query_str leads to sql injection. The attack can be launched remotely. The exploit has been disclosed to the public and may be used.
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Analysis
by VulDB Data Team • 11/04/2024
This vulnerability affects Tongda OA versions 2017 through 11.10 and represents a critical sql injection flaw in the /module/word_model/view/index.php file. The vulnerability stems from insufficient input validation when processing the query_str parameter, allowing attackers to inject malicious sql code directly into the application's database layer. This specific weakness enables remote exploitation without requiring authentication or prior access to the system, making it particularly dangerous for organizations using this software. The sql injection occurs because the application fails to properly sanitize or escape user-supplied input before incorporating it into database queries, creating an attack surface where malicious payloads can manipulate the underlying database structure and potentially extract sensitive information.
The technical impact of this vulnerability extends beyond simple data extraction, as sql injection attacks can enable complete database compromise including privilege escalation, data modification, and unauthorized access to sensitive organizational information. Attackers can leverage this flaw to execute arbitrary commands on the database server, potentially leading to full system compromise and persistent backdoor access. The vulnerability's classification as critical reflects its potential for widespread exploitation and the severity of consequences that can result from successful exploitation. According to CWE standards, this represents a CWE-89: Improper Neutralization of Special Elements used in an SQL Command, which is a well-documented weakness in database security practices. The attack vector being remote means that threat actors can exploit this vulnerability from outside the network perimeter, significantly expanding the potential attack surface and making traditional network-based security controls less effective.
Organizations running affected Tongda OA versions face substantial operational risks from this vulnerability, as it can result in data breaches, regulatory compliance violations, and significant financial losses. The public disclosure of exploitation techniques means that this vulnerability is likely to be actively targeted by threat actors, including both automated scanning tools and sophisticated attackers. The affected functionality in the word_model module suggests that the vulnerability could impact document management and collaboration features, potentially exposing sensitive business documents and communications. From an ATT&CK framework perspective, this vulnerability aligns with T1190: Exploit Public-Facing Application, demonstrating how attackers can leverage publicly accessible web applications to gain initial access to target networks. The lack of authentication requirements for exploitation makes this particularly concerning for organizations that have not yet patched their systems, as it provides an easy path for unauthorized access to critical business infrastructure.
The recommended mitigation strategies include immediate patching of all affected Tongda OA installations to the latest versions that address this specific sql injection vulnerability. Organizations should also implement network segmentation and access controls to limit exposure of the affected application to untrusted networks. Database query parameterization and input validation should be enforced at multiple layers of the application architecture, including application-level sanitization and database-level security controls. Security monitoring should be enhanced to detect unusual database access patterns and potential exploitation attempts. Additionally, organizations should conduct comprehensive vulnerability assessments to identify other potential sql injection vulnerabilities in their application portfolio, as this represents a common weakness in web application security that often requires systematic remediation rather than isolated fixes. Regular security testing and penetration testing should be implemented to identify similar vulnerabilities before they can be exploited by malicious actors.