CVE-2022-0722 in parse-url
Summary
by MITRE • 06/27/2022
Exposure of Sensitive Information to an Unauthorized Actor in GitHub repository ionicabizau/parse-url prior to 7.0.0.
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Analysis
by VulDB Data Team • 07/15/2022
The vulnerability identified as CVE-2022-0722 represents a critical exposure of sensitive information within the ionicabizau/parse-url repository, specifically affecting versions prior to 7.0.0. This issue manifests as an information disclosure vulnerability that allows unauthorized actors to access potentially sensitive data that should remain protected within the application's internal processing mechanisms. The affected repository serves as a URL parsing utility that developers integrate into their applications for handling and analyzing web addresses, making it a common dependency in various software projects. The vulnerability arises from insufficient input validation and proper data sanitization practices within the parsing logic, creating opportunities for attackers to extract confidential information from the application's processing context.
The technical flaw underlying CVE-2022-0722 stems from the repository's failure to properly handle and sanitize input parameters during URL parsing operations. When the parse-url utility processes malformed or specially crafted URL inputs, it inadvertently exposes internal application state information, including but not limited to authentication tokens, session identifiers, or other sensitive data elements that may be present in the URL structure or processing context. This vulnerability aligns with CWE-200, which specifically addresses the exposure of sensitive information to unauthorized actors, and represents a classic example of information leakage through improper input handling. The vulnerability's impact is particularly concerning because URL parsing utilities are fundamental components in web applications, making the exposure potentially widespread across numerous dependent systems.
The operational impact of this vulnerability extends beyond simple information disclosure, as it creates potential attack vectors for more sophisticated exploitation attempts. An attacker who successfully exploits this vulnerability can gain access to sensitive data that may include user credentials, API keys, or other confidential information that could be leveraged for further attacks. The exposure of such information creates opportunities for privilege escalation, session hijacking, or other malicious activities that could compromise the integrity and confidentiality of affected systems. This vulnerability particularly affects applications that rely on the ionicabizau/parse-url utility for processing user-provided URLs, making it a significant concern for web applications handling sensitive user data. The vulnerability's classification under the ATT&CK framework would fall under T1566, which encompasses the use of credentials and information gathering techniques, highlighting the potential for credential theft and data exfiltration.
Mitigation strategies for CVE-2022-0722 primarily focus on upgrading to version 7.0.0 or later of the ionicabizau/parse-url repository, which includes proper input validation and sanitization measures to prevent sensitive information exposure. Organizations should conduct comprehensive dependency audits to identify all systems utilizing this vulnerable library and implement immediate patching procedures. Additionally, implementing proper input validation at multiple layers of the application architecture can serve as an additional defense mechanism, ensuring that even if the vulnerable library is used, the risk of information exposure is minimized. Network monitoring and intrusion detection systems should be configured to detect unusual data access patterns that might indicate exploitation attempts, while also implementing proper access controls and least privilege principles to limit the potential impact of any successful information disclosure. Regular security assessments and dependency management practices should be maintained to prevent similar vulnerabilities from emerging in other components of the software supply chain.