CVE-2022-2216 in parse-url
Summary
by MITRE • 06/27/2022
Server-Side Request Forgery (SSRF) in GitHub repository ionicabizau/parse-url prior to 7.0.0.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 07/15/2022
The vulnerability identified as CVE-2022-2216 represents a critical server-side request forgery flaw discovered in the ionicabizau/parse-url repository prior to version 7.0.0. This repository serves as a URL parsing utility commonly used in Node.js applications for processing and validating web addresses. The SSRF vulnerability arises from inadequate input validation and sanitization mechanisms within the library's URL parsing logic, allowing malicious actors to manipulate the parsing process to make unauthorized requests to internal systems or external endpoints that should remain inaccessible. The flaw specifically manifests when the library processes URLs containing crafted parameters that bypass normal validation checks, enabling attackers to redirect requests through the vulnerable application to internal services or external malicious servers.
The technical implementation of this vulnerability stems from the library's failure to properly validate and sanitize URL components before processing them. When developers integrate this library into their applications, they typically pass user-supplied URLs or URL fragments that undergo parsing through the vulnerable code path. The flaw occurs in the URL parsing routine where certain protocol handlers or URL components are not adequately filtered, allowing attackers to inject malicious protocols or host specifications that can bypass normal network restrictions. This vulnerability aligns with CWE-918, which specifically addresses server-side request forgery vulnerabilities, and demonstrates how improper input validation can lead to unauthorized access to internal resources. The ATT&CK framework categorizes this as a technique involving the exploitation of application vulnerabilities to gain access to internal systems, typically classified under T1071.004 for application layer protocols and T1566 for phishing with a malicious attachment or link.
The operational impact of CVE-2022-2216 extends beyond simple data exfiltration, as it can enable attackers to perform reconnaissance on internal network services, access sensitive internal APIs, or even facilitate further attacks through the exploitation of other vulnerabilities within the internal network. An attacker could potentially use this vulnerability to enumerate internal services, access database endpoints, or retrieve configuration files that contain sensitive credentials or system information. The vulnerability is particularly dangerous in containerized environments or cloud deployments where internal services might be accessible through predictable internal IP addresses or hostnames. Applications using this library in production environments face significant risk, especially those handling user input or processing URLs from external sources, as the attack surface expands to include all internal network resources that are accessible from the application server. The vulnerability can also be leveraged in combination with other techniques to establish persistent access or to perform more sophisticated attacks against the target environment.
Mitigation strategies for this vulnerability require immediate action to upgrade to version 7.0.0 or later of the ionicabizau/parse-url library, which includes proper input validation and sanitization mechanisms. Organizations should implement comprehensive dependency monitoring to identify all applications using vulnerable versions of this library and ensure timely updates across their entire infrastructure. Additional defensive measures include implementing network segmentation to limit access to internal services, deploying web application firewalls to detect and block suspicious URL patterns, and establishing strict input validation policies for all URL handling components within applications. Security teams should also conduct thorough code reviews to identify potential similar vulnerabilities in other URL parsing or network handling components within their applications. The remediation process should include not only updating the vulnerable library but also implementing proper security testing procedures including dependency scanning and vulnerability assessment of all third-party libraries used in the application stack. Organizations should consider implementing runtime protection mechanisms that can detect and prevent unauthorized network requests originating from their applications, particularly those attempting to access internal or restricted network resources.