Werkzeug may allow high resource usage when parsing multipart form data with many fields

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.

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

不加限制或调节的资源分配

Pallets Werkzeug 安全漏洞

Pallets Werkzeug是一款WSGI Web应用程序库。 Pallets Werkzeug 2.2.3之前版本存在安全漏洞，该漏洞源于Werkzeug multipart表单数据解析器可以解析无限数量的文件、字节部分，但每个部分都需要 CPU 时间来解析，并且可能会使用更多内存，如果向 `request.data`、`request.form`、`request.files` 或 `request.get_data(parse_form_data=False)` 的端点发出请求，则可能会导致意外

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