CVE-2022-24691 in DSKNet
Summary
by MITRE • 07/18/2022
An issue was discovered in DSK DSKNet 2.16.136.0 and 2.17.136.5. A SQL Injection vulnerability allows authenticated users to taint database data and extract sensitive information via crafted HTTP requests. The type of SQL Injection is blind boolean based.
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Analysis
by VulDB Data Team • 08/06/2022
The vulnerability identified as CVE-2022-24691 represents a critical security flaw in DSK DSKNet versions 2.16.136.0 and 2.17.136.5. This issue manifests as a SQL injection vulnerability that specifically targets authenticated users within the application's web interface. The vulnerability stems from improper input validation and sanitization mechanisms within the application's database interaction layer, allowing malicious actors who have already established authentication credentials to exploit the system's trust model. The affected software operates under the assumption that authenticated users can be trusted, failing to implement proper security controls for user-supplied data that could be manipulated to influence database queries.
The technical implementation of this vulnerability involves a blind boolean-based SQL injection attack vector, which means that attackers cannot directly observe database query results through error messages or direct output. Instead, they must infer information through indirect means by observing application behavior changes in response to crafted payloads. This particular injection method relies on manipulating database queries to return boolean responses that can be interpreted by the attacker to reconstruct sensitive data. The vulnerability occurs when user input is directly concatenated into SQL query strings without proper parameterization or escaping mechanisms, creating an environment where malicious input can alter the logical flow of database operations.
Operationally, this vulnerability poses significant risks to organizations utilizing DSK DSKNet software, as authenticated users with legitimate access can leverage this flaw to extract confidential information from the underlying database systems. The impact extends beyond simple data theft to potentially enable further exploitation, including privilege escalation, data manipulation, and unauthorized access to sensitive organizational information. Attackers can systematically extract data by constructing boolean-based queries that trigger different application responses, allowing them to reconstruct database contents through careful inference techniques. The blind nature of the attack makes detection more challenging for security monitoring systems, as there are no obvious error messages or direct data leakage that would immediately alert administrators to the compromise.
The vulnerability aligns with CWE-89 which specifically addresses SQL injection flaws in software applications, and represents a classic example of how insufficient input validation can lead to severe security consequences. From an adversary perspective, this vulnerability maps to ATT&CK technique T1071.004 for application layer protocol manipulation and T1213.002 for data from information repositories, as attackers can systematically extract data from the compromised database. Organizations should implement immediate mitigations including input validation, parameterized queries, and proper output encoding to prevent user-supplied data from being interpreted as part of database commands. Additionally, network monitoring should be enhanced to detect unusual patterns in database query execution that might indicate exploitation attempts. Regular security assessments and penetration testing should be conducted to identify similar vulnerabilities in other authenticated application components, while access controls and privilege management should be reviewed to limit the potential damage from authenticated attacks.