CVE-2024-11168 refers to a medium-severity vulnerability in Python's urllib module, specifically in the urlsplit() and urlparse() functions. This vulnerability allows improper validation of bracketed hosts (`[]`), which may lead to the acceptance of hosts that aren't compliant with IPv6 or IPvFuture. The failure to adhere to RFC 3986 standards poses a risk of server-side request forgery (SSRF) when a URL is processed by multiple URL parsers.
With a CVSS score of 6.3, this vulnerability is classified as medium severity. The implications for organizations can range from compromised security to unintended data exposure, depending on how the affected functions are utilized in web applications. Given its potential for exploitation, immediate attention is warranted.
Currently, there are no known public exploits or proof of concepts available for this vulnerability, but the exploitability is considered medium due to the nature of the issue. Organizations should prioritize remediation as part of their security strategy.
Organizations should prioritize patching immediately to mitigate the risks associated with this vulnerability. Ensuring that the urllib module is updated to the latest version will help prevent potential SSRF incidents.
Vulnerability Details
The vulnerability is characterized by improper validation of bracketed hosts in the urllib.parse.urlsplit() and urlparse() functions. This failure to conform to RFC 3986 may lead to SSRF vulnerabilities when URLs are processed by various parsers.
The CVSS score of 6.3 indicates medium severity, with a network attack vector and high complexity, meaning that successful exploitation may require specific conditions to be met.
The vulnerability was published on November 12, 2024, and is classified under CWE-918, which pertains to URL parsing vulnerabilities.
Technical Analysis
The root cause of this vulnerability lies in the improper validation logic of the urlsplit() and urlparse() functions. These functions fail to adequately check whether bracketed hosts conform to expected IPv6 standards, allowing non-compliant inputs.
The attack vector is network-based, and the complexity for exploitation is high. No privileges are required to exploit this vulnerability, nor is any user interaction needed. The confidentiality impact is low, whereas the integrity impact is moderate, due to potential unauthorized access to resources.
In terms of potential impacts, the vulnerability could allow attackers to craft URLs that lead to unintended behavior in applications, particularly those that rely on multiple URL parsers. This could expose sensitive data or allow for unauthorized operations.
Risk & Impact Analysis
The risk to organizations includes potential exposure to SSRF attacks, where an attacker may manipulate URL requests to access internal resources not intended for public access. The blast radius could be extensive, especially in environments where internal services are not adequately protected from untrusted input.
Given the CVSS score of 6.3, organizations should address this vulnerability in their patch cycle, prioritizing it as a medium risk. Organizations that use this Python library in critical applications should take immediate action to assess their exposure and apply necessary updates.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
All versions of Python's urllib module prior to the latest patch are affected by this vulnerability. Organizations should ensure they are using an updated version to mitigate risks.
Mitigation & Remediation
Organizations should prioritize patching immediately. Ensure the urllib module is updated to the latest version that addresses this vulnerability. If an update is not available, consider implementing input validation controls to sanitize URLs before processing them.
For further assistance, organizations may consider engaging in penetration testing services to identify vulnerabilities in their systems.
Detection Guidance
Monitor logs for indicators of unusual URL patterns that may indicate exploitation attempts. Look for behavioral anomalies in how URLs are parsed and processed, especially if using multiple parsers.
Implement network signatures to detect potentially malicious requests that exploit this vulnerability.
AppSecure Threat Intelligence Insight
As organizations increasingly depend on web applications, vulnerabilities like CVE-2024-11168 highlight the need for robust security measures in URL parsing. This vulnerability represents a critical reminder of the importance of adhering to standards in software development.
To stay ahead of potential threats, security teams should conduct regular security assessments and follow best practices for secure coding. For guidance on security assessments, refer to our penetration testing methodology and vulnerability management program design resources.
Continuously monitor for emerging security trends and adjust security postures accordingly. For insights on future threats, explore our 2026 ransomware targeting trends article.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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