CVE-2022-40472 in ZKBio Time
Summary
by MITRE • 09/30/2022
ZKTeco Xiamen Information Technology ZKBio Time 8.0.7 Build: 20220721.14829 was discovered to contain a CSV injection vulnerability. This vulnerability allows attackers to execute arbitrary code via a crafted payload injected into the Content text field of the Add New Message module.
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Analysis
by VulDB Data Team • 10/26/2022
The vulnerability identified as CVE-2022-40472 affects ZKTeco Xiamen Information Technology's ZKBio Time software version 8.0.7 build 20220721.14829, representing a critical CSV injection flaw that resides within the application's message handling functionality. This type of vulnerability falls under the broader category of insecure data handling practices that can lead to severe security implications when user input is not properly sanitized before being processed or exported. The specific weakness manifests in the Add New Message module where the Content text field fails to adequately validate or escape user-supplied data, creating an environment where malicious actors can inject dangerous payloads that may be interpreted as spreadsheet commands when the data is subsequently exported to CSV format.
The technical exploitation of this vulnerability occurs through the manipulation of the Content field within the message creation interface, where attackers can craft malicious payloads that leverage CSV parsing behaviors to execute arbitrary code on the target system. When the application exports data containing these crafted inputs to CSV format, the spreadsheet application interpreting the file may treat the injected commands as executable instructions rather than plain text, leading to potential code execution in the context of the user's privileges. This vulnerability aligns with CWE-1236, which specifically addresses the improper handling of CSV injection in applications that generate CSV files, and demonstrates how seemingly benign input fields can become attack vectors when proper sanitization measures are absent. The flaw represents a classic example of insufficient input validation and output encoding that enables attackers to bypass security controls through the manipulation of data processing pipelines.
The operational impact of this vulnerability extends beyond simple data corruption or information disclosure, as successful exploitation could allow attackers to execute malicious code with the privileges of the application user, potentially leading to full system compromise. Attackers could leverage this vulnerability to gain unauthorized access to sensitive time and attendance data, manipulate employee records, or establish persistent access points within the organization's infrastructure. The implications are particularly concerning in environments where time and attendance systems are integrated with payroll processing, access control systems, or other critical business applications, as the compromise of such systems could facilitate broader attacks against the organization's security posture. This vulnerability also aligns with attack patterns documented in the MITRE ATT&CK framework under techniques related to command and control, privilege escalation, and initial access through application exploitation.
Mitigation strategies for CVE-2022-40472 should prioritize immediate implementation of input validation and sanitization measures within the affected application, ensuring that all user-supplied content is properly escaped or filtered before being stored or processed. Organizations should implement proper output encoding when exporting data to CSV formats, particularly by prefixing potentially dangerous characters with single quotes or other escape sequences that prevent spreadsheet applications from interpreting them as commands. The recommended approach includes updating to the latest available version of the ZKBio Time software where the vulnerability has been patched, implementing network segmentation to limit access to the affected application, and conducting thorough security assessments of similar applications within the organization's environment. Additionally, security teams should establish monitoring procedures to detect unusual data export activities and implement regular vulnerability scanning to identify potential similar weaknesses in other systems that may be susceptible to analogous injection attacks.