Описание
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.
A flaw was found in python-werkzeug. Werkzeug is multipart form data parser, that will parse an unlimited number of parts, including file parts. These 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, allowing 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, and if many concurrent requests are sent continuously, this can exhaust or kill all available workers.
Затронутые пакеты
Платформа | Пакет | Состояние | Рекомендация | Релиз |
---|---|---|---|---|
Red Hat Enterprise Linux 7 | python-werkzeug | Affected | ||
Red Hat Enterprise Linux 8 | python-werkzeug | Affected | ||
Red Hat OpenStack Platform 16.2 | openstack-designate | Affected | ||
Red Hat Storage 3 | python-werkzeug | Affected | ||
Red Hat Update Infrastructure 3 for Cloud Providers | python-werkzeug | Out of support scope | ||
Ironic content for Red Hat OpenShift Container Platform 4.11 | python-werkzeug | Fixed | RHBA-2023:1759 | 19.04.2023 |
Ironic content for Red Hat OpenShift Container Platform 4.12 | python-werkzeug | Fixed | RHBA-2023:1507 | 03.04.2023 |
Ironic content for Red Hat OpenShift Container Platform 4.13 | python-werkzeug | Fixed | RHSA-2023:1325 | 18.05.2023 |
Red Hat Ceph Storage 7.1 | ceph | Fixed | RHSA-2025:4664 | 07.05.2025 |
Red Hat Ceph Storage 7.1 | oath-toolkit | Fixed | RHSA-2025:4664 | 07.05.2025 |
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Дополнительная информация
Статус:
EPSS
7.5 High
CVSS3
Связанные уязвимости
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.
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.
Werkzeug is a comprehensive WSGI web application library. Prior to ver ...
EPSS
7.5 High
CVSS3