CVE-2022-1083 in Microfinance Management System
Summary
by MITRE • 03/29/2022
A vulnerability classified as critical has been found in Microfinance Management System. The manipulation of arguments like customer_type_number/account_number/account_status_number/account_type_number with the input ' and (select * from(select(sleep(10)))Avx) and 'abc' = 'abc leads to sql injection in multiple files. It is possible to launch the attack remotely.
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Analysis
by VulDB Data Team • 03/29/2022
This critical vulnerability exists within the Microfinance Management System where improper input validation allows attackers to execute arbitrary SQL commands through carefully crafted malicious inputs. The specific flaw manifests when user-supplied parameters such as customer_type_number, account_number, account_status_number, and account_type_number are processed without adequate sanitization or parameterization. The attack vector exploits the system's failure to properly escape special characters in SQL queries, enabling an attacker to inject malicious SQL code that can manipulate database operations.
The vulnerability demonstrates classic sql injection characteristics where the payload ' and (select * from(select(sleep(10)))Avx) and 'abc' = 'abc' leverages the sleep function to create time-based blind sql injection. This technique allows attackers to infer database structure and content through timing delays, as the system will pause for ten seconds during query execution before responding. The remote exploit capability means that malicious actors can target the vulnerable system from external networks without requiring physical access or local privileges, making this attack particularly dangerous for financial institutions handling sensitive customer data.
The operational impact of this vulnerability extends beyond simple data theft to include complete database compromise and potential system takeover. Attackers could extract confidential customer information including account details, personal identification numbers, and transaction histories, which would constitute a severe breach of financial privacy regulations. The system's exposure to remote exploitation increases the attack surface significantly, as network-based scanning tools can identify vulnerable instances without requiring complex reconnaissance phases.
Security mitigations should focus on implementing proper input validation and parameterized queries throughout all database interaction points within the microfinance management system. The implementation of prepared statements using parameterized queries would eliminate the vulnerability by separating SQL code from data inputs, preventing malicious payloads from being executed as commands. Additionally, comprehensive input sanitization measures including character encoding, length restrictions, and whitelist-based validation should be enforced at multiple layers of the application architecture. Organizations should also consider implementing web application firewalls to detect and block suspicious sql injection patterns, while regular security testing including automated scanning and manual penetration testing should be conducted to identify similar vulnerabilities in other system components.
This vulnerability aligns with CWE-89 which specifically addresses sql injection flaws in software applications, and maps to ATT&CK technique T1190 for exploiting known vulnerabilities and T1071.004 for application layer protocol manipulation. The attack chain demonstrates how insufficient input validation creates opportunities for attackers to escalate privileges and access sensitive data through database manipulation techniques that bypass traditional network security controls.