CVE-2020-7658: meinheld HTTP Request Smuggling Vulnerability
Summary
CVE-2020-7658: meinheld prior to 1.0.2 is vulnerable to HTTP Request Smuggling. Affects meinheld versions < 1.0.2. Fixed in 1.0.2. How to fix ↓
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Background
meinheld is a Python package available on PyPI that provides a high-performance, asynchronous WSGI server. It is designed to be used with web frameworks such as Flask and Django. The package allows for efficient handling of multiple concurrent requests. However, versions prior to 1.0.2 are vulnerable to HTTP Request Smuggling attacks. This vulnerability arises from incorrect parsing of Content-Length and Transfer-Encoding headers, which can lead to HTTP pipelining issues and request smuggling attacks.
Vulnerability Detail
The vulnerability in meinheld arises from the incorrect parsing of Content-Length and Transfer-Encoding headers. This can allow an attacker to manipulate the headers in a way that bypasses security measures and enables HTTP Request Smuggling attacks. By exploiting this vulnerability, an attacker may be able to smuggle malicious requests through the server, potentially leading to unauthorized access, data leakage, or other security compromises. It is important to note that this vulnerability has been assigned the CVE identifier CVE-2020-7658.
How To Fix
Minimum fixed version
1.0.2
This is the first release that contains the fix.
pip install --upgrade "meinheld==1.0.2"
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Conclusion
In conclusion, meinheld versions prior to 1.0.2 are vulnerable to HTTP Request Smuggling attacks due to incorrect parsing of Content-Length and Transfer-Encoding headers. It is crucial to update to version 1.0.2 or later to mitigate this vulnerability. For further support on vulnerability remediation, please contact DevNack.com.
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FAQ
meinheld is a Python package that provides a high-performance, asynchronous WSGI server. It is commonly used with web frameworks like Flask and Django.
HTTP Request Smuggling is a technique where an attacker manipulates the HTTP headers to bypass security measures and perform malicious actions.
Exploiting this vulnerability can lead to unauthorized access, data leakage, or other security compromises.
You can use the Vulert Playground at Vulert Scanner to check if your application is affected by this vulnerability. Simply provide your Pipfile.lock and the playground will alert you in real-time for open-source vulnerabilities.
You can find more information about this vulnerability in the PyPI advisory database at https://github.com/pypa/advisory-database/blob/main/vulns/meinheld/PYSEC-2020-239.yaml