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Werkzeug is a comprehensive WSGI web application library. Prior to version 2.2.3, Werkzeug's multipart form data parser will parse an unlimited number of parts, including file parts. Parts can be a small amount of bytes, but each requires CPU time to parse and may use more memory as Python data. If a request can be made to an endpoint that accesses request.data, request.form, request.files, or request.get_data(parse_form_data=False), it can cause unexpectedly high resource usage. This allows an attacker to cause a denial of service by sending crafted multipart data to an endpoint that will parse it. The amount of CPU time required can block worker processes from handling legitimate requests. The amount of RAM required can trigger an out of memory kill of the process. Unlimited file parts can use up memory and file handles. If many concurrent requests are sent continuously, this can exhaust or kill all available workers. Version 2.2.3 contains a patch for this issue.
CVE-2023-25577 - High Severity Vulnerability
Vulnerable Library - Werkzeug-2.1.1-py3-none-any.whl
The comprehensive WSGI web application library.
Library home page: https://files.pythonhosted.org/packages/13/3c/07aab80ab09ea9a7dc1a312225124d8cfa4dcfb0cdc68e61f60819beb36c/Werkzeug-2.1.1-py3-none-any.whl
Dependency Hierarchy:
Found in base branch: main
Vulnerability Details
Werkzeug is a comprehensive WSGI web application library. Prior to version 2.2.3, Werkzeug's multipart form data parser will parse an unlimited number of parts, including file parts. Parts can be a small amount of bytes, but each requires CPU time to parse and may use more memory as Python data. If a request can be made to an endpoint that accesses
request.data
,request.form
,request.files
, orrequest.get_data(parse_form_data=False)
, it can cause unexpectedly high resource usage. This allows an attacker to cause a denial of service by sending crafted multipart data to an endpoint that will parse it. The amount of CPU time required can block worker processes from handling legitimate requests. The amount of RAM required can trigger an out of memory kill of the process. Unlimited file parts can use up memory and file handles. If many concurrent requests are sent continuously, this can exhaust or kill all available workers. Version 2.2.3 contains a patch for this issue.Publish Date: 2023-02-14
URL: CVE-2023-25577
CVSS 3 Score Details (7.5)
Base Score Metrics:
Suggested Fix
Type: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2023-25577
Release Date: 2023-02-14
Fix Resolution (Werkzeug): 2.2.3
Direct dependency fix Resolution (darts): 0.14.0
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