CVE-2015-4707 in IPython
Summary
by MITRE
Cross-site scripting (XSS) vulnerability in IPython before 3.2.
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Analysis
by VulDB Data Team • 12/29/2022
The CVE-2015-4707 vulnerability represents a critical cross-site scripting flaw discovered in IPython versions prior to 3.2, affecting the popular interactive computing environment used extensively in data science and scientific computing workflows. This vulnerability resides within the web-based components of IPython that enable users to create and share interactive notebooks through browser interfaces. The flaw allows malicious actors to inject arbitrary JavaScript code into web pages viewed by other users, potentially compromising the security of entire computing environments where IPython is deployed.
The technical implementation of this XSS vulnerability stems from insufficient input validation and output sanitization within IPython's web interface components. Specifically, user-supplied data that is rendered in web contexts without proper escaping or encoding mechanisms creates opportunities for attackers to execute malicious scripts. This occurs when IPython processes notebook content, particularly in areas where HTML output is generated from user inputs or notebook cells. The vulnerability is categorized under CWE-79 as a classic cross-site scripting flaw, where the application fails to properly sanitize user-controllable data before incorporating it into dynamically generated web content.
The operational impact of CVE-2015-4707 extends beyond simple script execution, potentially enabling attackers to steal session cookies, perform actions on behalf of users, access sensitive data, or even escalate privileges within the affected systems. In environments where IPython is used for collaborative data analysis or deployed in enterprise settings with multiple users, this vulnerability could allow unauthorized individuals to gain access to confidential research data, analytical results, or proprietary methodologies. The attack surface is particularly concerning in educational institutions or research organizations where IPython notebooks often contain sensitive information and are shared among multiple collaborators.
Organizations and users affected by this vulnerability should immediately upgrade to IPython version 3.2 or later, which includes proper input sanitization and output encoding mechanisms to prevent XSS injection attacks. Additionally, implementing proper content security policies, enabling strict output escaping for all user-generated content, and conducting regular security assessments of web applications are essential mitigation strategies. This vulnerability aligns with ATT&CK technique T1059.007 for script injection, highlighting the importance of input validation and output encoding in preventing code execution vulnerabilities. System administrators should also consider implementing web application firewalls and monitoring for suspicious user behavior patterns that might indicate exploitation attempts. The remediation process should include comprehensive testing of upgraded environments to ensure that the XSS protection mechanisms function correctly without breaking legitimate notebook functionality.