Affected: Homebrew: aws-sam-cli

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.

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.

Affected: PyPI: Werkzeug

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.

Affected: openEuler:20.03-LTS-SP1: python-werkzeug, openEuler:20.03-LTS-SP3: python-werkzeug, openEuler:22.03-LTS: python-werkzeug, openEuler:22.03-LTS-SP1: python-werkzeug, openEuler:22.03-LTS-SP2: python-werkzeug

*werkzeug* German noun: "tool". Etymology: *werk* ("work"), *zeug* ("stuff") Werkzeug is a comprehensive `WSGI`_ web application library. It began as a simple collection of various utilities for WSGI applications and has become one of the most advanced WSGI utility libraries. It includes: - An interactive debugger that allows inspecting stack traces and source code in the browser with an interactive interpreter for any frame in the stack. - A full-featured request object with objects to interact with headers, query args, form data, files, and cookies. - A response object that can wrap other WSGI applications and handle streaming data. - A routing system for matching URLs to endpoints and generating URLs for endpoints, with an extensible system for capturing variables from URLs. - HTTP utilities to handle entity tags, cache control, dates, user agents, cookies, files, and more. - A threaded WSGI server for use while developing applications locally. - A test client for simulating HTTP requests during testing without requiring running a server. Werkzeug doesn't enforce any dependencies. It is up to the developer to choose a template engine, database adapter, and even how to handle requests. It can be used to build all sorts of end user applications such as blogs, wikis, or bulletin boards. `Flask`_ wraps Werkzeug, using it to handle the details of WSGI while providing more structure and patterns for defining powerful applications.

Security Fix(es):

Werkzeug is a…

python310-Werkzeug-2.2.3-1.1 on GA media

Affected: PyPI: werkzeug

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.

python-werkzeug: high resource usage when parsing multipart form data with many fields

Security update for python-Werkzeug

Affected: Ubuntu:Pro:16.04:LTS: python-werkzeug, Ubuntu:18.04:LTS: python-werkzeug, Ubuntu:20.04:LTS: python-werkzeug, Ubuntu:22.04:LTS: python-werkzeug

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.

Ein entfernter, anonymer Angreifer kann mehrere Schwachstellen in xpdf ausnutzen, um einen Denial of Service Angriff durchzuführen.