CVE-2022-43568 in Splunk
Summary
by MITRE • 11/05/2022
In Splunk Enterprise versions below 8.1.12, 8.2.9, and 9.0.2, a View allows for a Reflected Cross Site Scripting via JavaScript Object Notation (JSON) in a query parameter when output_mode=radio.
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Analysis
by VulDB Data Team • 12/05/2022
The vulnerability CVE-2022-43568 represents a reflected cross site scripting vulnerability within Splunk Enterprise that affects multiple version ranges including those below 8.1.12, 8.2.9, and 9.0.2. This security flaw exists in the way Splunk Enterprise processes query parameters when the output_mode=radio is specified, creating an avenue for malicious actors to inject arbitrary JavaScript code into the application's response. The vulnerability stems from insufficient input validation and output encoding mechanisms that fail to properly sanitize user-supplied data before incorporating it into the application's response. When a user submits a request containing a malicious payload within the query parameter while using the radio output mode, the application reflects this input back to the user without adequate sanitization, allowing the injected script to execute in the victim's browser context.
The technical exploitation of this vulnerability occurs through the manipulation of JSON data within query parameters where the radio output mode is utilized. This specific output mode in Splunk's API interface creates a scenario where user input is directly incorporated into the response without proper HTML escaping or JavaScript sanitization. The flaw aligns with CWE-79 which categorizes cross site scripting vulnerabilities as a result of insufficient input validation and output encoding. Attackers can craft malicious URLs containing encoded JavaScript payloads that, when executed, can perform actions such as stealing session cookies, redirecting users to malicious sites, or performing unauthorized operations within the Splunk environment. The reflected nature of this vulnerability means that the malicious script is immediately reflected from the server response back to the victim, making it particularly dangerous for web applications that process user input directly.
The operational impact of CVE-2022-43568 extends beyond simple script execution as it represents a significant threat to Splunk Enterprise security posture. Organizations utilizing affected Splunk versions face potential unauthorized access, data exfiltration, and privilege escalation risks when attackers exploit this vulnerability. The attack surface is particularly concerning given Splunk's role in security monitoring and log analysis, where compromised systems could provide attackers with access to sensitive security events, authentication logs, and system monitoring data. This vulnerability can be leveraged in phishing campaigns where users are tricked into clicking malicious links, or through automated scanning tools that identify and exploit the reflected XSS condition. The impact is amplified in environments where Splunk is used for security operations, as successful exploitation could allow attackers to manipulate security alerts, hide malicious activities, or gain unauthorized access to security monitoring capabilities.
Mitigation strategies for CVE-2022-43568 primarily focus on upgrading to patched versions of Splunk Enterprise where the vulnerability has been addressed through proper input validation and output encoding mechanisms. Organizations should immediately implement the security patches released by Splunk for versions 8.1.12, 8.2.9, and 9.0.2 to resolve the reflected XSS condition. Additionally, implementing web application firewalls and input validation rules can provide temporary protection while upgrades are pending. Security teams should also conduct thorough review of Splunk configurations to ensure that output_mode parameters are properly validated and that users cannot inject arbitrary JavaScript code. Network segmentation and privilege separation can help limit the potential impact if exploitation occurs, while regular security monitoring should be implemented to detect any attempts to exploit this vulnerability. The ATT&CK framework categorizes this vulnerability under T1059.007 for scripting languages and T1566 for social engineering techniques, highlighting the need for comprehensive defensive measures that address both technical and human factors in the attack chain.