High resource usage when parsing multipart form data with many fields

CAO 7.5CVE-2023-25577 · GHSA-xg9f-g7g7-2323 · PYSEC-2023-58 · Công bố 14/02/2023 · cập nhật 17/06/2026

Tóm tắt nhanh

CVE-2023-25577 là lỗ hổng mức CAO (CVSS 7.5) ảnh hưởng werkzeug, werkzeug (palletsprojects).
Xác suất bị khai thác trong 30 ngày tới (EPSS): 1.4%, cao hơn 72.8% các lỗ hổng khác.
Cách xử lý: cập nhật lên 2.2.3 hoặc mới hơn.

Gói / sản phẩm	Phiên bản bị ảnh hưởng	Phiên bản đã vá
werkzeug PyPI	`< 2.2.3`	`2.2.3`
werkzeug palletsprojects	`< 2.2.3`	`2.2.3`

Mô tả

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.

Mô tả của NVD

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.