CVE-2024-54447 in Community
Summary
by MITRE • 03/14/2025
Saved search functionality contains a blind SQL injection that can be exploited by authenticated attackers. Using a time-based blind SQLi technique the attacker can disclose all database contents. Account takeover is a potential outcome depending on the presence or lack thereof entries in certain database tables.
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Analysis
by VulDB Data Team • 03/14/2025
The vulnerability identified as CVE-2024-54447 represents a critical security flaw in the saved search functionality of a web application system. This vulnerability manifests as a blind sql injection vulnerability that specifically targets the search feature, allowing authenticated attackers to execute malicious database queries without direct feedback. The flaw exists within the application's input handling mechanisms for saved search parameters, where user-supplied data is not properly sanitized or validated before being processed by the database layer. The vulnerability is classified as a time-based blind sql injection, which means that attackers must rely on response timing variations to infer database content rather than receiving direct query results. This technique requires sophisticated exploitation methods where attackers manipulate input parameters to cause the database to delay responses, thereby confirming the success of their injection attempts through timing analysis.
The technical implementation of this vulnerability stems from inadequate input validation and improper parameter binding within the application's database interaction code. When authenticated users submit search queries for saving, the application fails to properly escape or parameterize user input before incorporating it into sql statements. This creates an environment where malicious input can alter the intended sql execution flow, allowing attackers to inject arbitrary sql commands. The vulnerability specifically affects the saved search feature, which typically stores user preferences and search parameters in database tables. Attackers can leverage this weakness to extract sensitive information from the database through carefully crafted time-based queries that cause the database to pause execution for specific durations. The exploitation process involves constructing malicious input that, when processed by the vulnerable application, triggers database functions that delay response times, thereby revealing information about the database structure and contents through timing variations.
The operational impact of CVE-2024-54447 extends beyond simple data disclosure, as it creates a pathway for potential account takeover scenarios. The vulnerability's classification as a blind sql injection with time-based techniques means that attackers can systematically extract database contents through repeated timing-based queries. Depending on the database schema and the presence of specific tables, attackers may be able to access user credentials, session information, or other sensitive data stored within the application's database. The authentication context is crucial here since the vulnerability requires authenticated access, meaning that attackers must first obtain valid user credentials or exploit another vulnerability to gain access to the system. However, once authenticated, the vulnerability provides a powerful attack vector that can be used to escalate privileges or extract sensitive information that could then be used for further exploitation. The potential for account takeover increases significantly if the database contains user authentication tables or session management information that can be extracted through this method.
Security mitigations for CVE-2024-54447 must address both the immediate code-level vulnerabilities and broader architectural security considerations. The primary remediation involves implementing proper input validation and parameterized queries throughout the application's database interaction layers. This includes using prepared statements or parameterized queries to ensure that user input is treated as data rather than executable code. The application should also implement proper input sanitization techniques that remove or escape potentially malicious characters from user-supplied data before processing. Additionally, implementing comprehensive logging and monitoring systems can help detect exploitation attempts by identifying unusual patterns in search query usage or database access patterns. Organizations should also consider implementing web application firewalls and intrusion detection systems that can identify and block known sql injection attack patterns. The vulnerability aligns with CWE-89 which specifically addresses sql injection flaws, and represents a variant that falls under the category of blind sql injection attacks as described in the ATT&CK framework under technique T1190 for sql injection. Regular security testing including automated scanning and manual penetration testing should be conducted to identify similar vulnerabilities in other application components and ensure that proper security controls remain in place.