CVE-2017-16670 in SoapUIinfo

Summary

by MITRE

The project import functionality in SoapUI 5.3.0 allows remote attackers to execute arbitrary Java code via a crafted request parameter in a WSDL project file.

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Analysis

by VulDB Data Team • 02/08/2023

The vulnerability identified as CVE-2017-16670 resides within the project import mechanism of SoapUI version 5.3.0, a widely used web services testing tool that facilitates the creation and management of SOAP and REST web service projects. This flaw represents a critical security weakness that enables remote attackers to execute arbitrary Java code on systems running the affected software, fundamentally compromising the integrity and confidentiality of the testing environment. The vulnerability specifically targets the handling of WSDL project files, which are essential components for defining web service interfaces and are commonly exchanged between developers and testing environments.

The technical exploitation of this vulnerability occurs through a crafted request parameter embedded within a malicious WSDL file that is subsequently imported into the SoapUI application. When the application processes this specially crafted WSDL file, it fails to properly validate or sanitize the input parameters, allowing an attacker to inject malicious Java code that gets executed within the context of the SoapUI process. This represents a classic command injection vulnerability where the application's failure to properly isolate user-supplied data from executable code creates an attack surface that can be leveraged for arbitrary code execution. The flaw aligns with CWE-94, which describes the weakness of executing arbitrary code due to insufficient input validation and sanitization. The vulnerability is particularly dangerous because it operates at the application level where it can potentially access system resources, network connections, and sensitive data that the SoapUI application has access to.

The operational impact of this vulnerability extends beyond simple code execution, as it creates a persistent threat vector that can be exploited by remote attackers without requiring authentication or local system access. An attacker who successfully exploits this vulnerability could gain complete control over the affected system, potentially leading to data breaches, system compromise, and further lateral movement within the network. The vulnerability is particularly concerning in enterprise environments where SoapUI is commonly used for testing production web services, as it could enable attackers to access sensitive business data or disrupt critical operations. The attack surface is broad since WSDL files are often shared between teams and may be automatically imported during automated testing processes, making the exploitation of this vulnerability more likely. According to ATT&CK framework, this vulnerability maps to T1059.007 for the execution of Java code and T1068 for the exploitation of remote services, highlighting the multi-faceted nature of the threat.

Organizations should implement immediate mitigations including updating to a patched version of SoapUI that addresses this vulnerability, implementing network segmentation to limit access to SoapUI applications, and establishing strict file validation policies for WSDL imports. Additionally, security teams should monitor network traffic for suspicious import activities and consider implementing application whitelisting controls that restrict the execution of untrusted Java code. The vulnerability underscores the importance of proper input validation and the principle of least privilege in software development, where applications should never execute code provided by untrusted sources without proper sanitization and verification. Organizations should also consider implementing automated vulnerability scanning tools that can detect and prevent the import of malicious WSDL files, as well as establishing secure coding practices that prevent similar vulnerabilities from occurring in custom applications that may process similar types of input data.

Reservation

11/08/2017

Disclosure

02/19/2018

Moderation

accepted

CPE

ready

EPSS

0.00412

KEV

no

Activities

very low

Sources

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