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Red Hat Security Advisory 2024-0214-03
Red Hat Security Advisory 2024-0214-03 - An update for python-werkzeug is now available for Red Hat OpenStack Platform 17.1. Issues addressed include denial of service and remote shell upload vulnerabilities.
The following advisory data is extracted from:https://access.redhat.com/security/data/csaf/v2/advisories/2024/rhsa-2024_0214.jsonRed Hat officially shut down their mailing list notifications October 10, 2023. Due to this, Packet Storm has recreated the below data as a reference point to raise awareness. It must be noted that due to an inability to easily track revision updates without crawling Red Hat's archive, these advisories are single notifications and we strongly suggest that you visit the Red Hat provided links to ensure you have the latest information available if the subject matter listed pertains to your environment.- Packet Storm Staff====================================================================Red Hat Security AdvisorySynopsis: Moderate: Red Hat OpenStack Platform 17.1 (python-werkzeug) security updateAdvisory ID: RHSA-2024:0214-03Product: Red Hat OpenStack PlatformAdvisory URL: https://access.redhat.com/errata/RHSA-2024:0214Issue date: 2024-01-16Revision: 03CVE Names: CVE-2023-46136====================================================================Summary: An update for python-werkzeug is now available for Red Hat OpenStackPlatform 17.1 (Wallaby).Red Hat Product Security has rated this update as having a security impactof Moderate. A Common Vulnerability Scoring System (CVSS) base score, whichgives a detailed severity rating, is available for each vulnerability fromthe CVE link(s) in the References section.Description:Werkzeug is a WSGI utility module. It includes a debugger, request and response objects, HTTP utilities to handle entity tags, cache control headers, HTTP dates, cookie handling, file uploads, a URL routing system and a numerous community contributed add-on modules. Werkzeug is unicode aware and does not enforce a specific template engine, database adapter or a specific way of handling requests. It is useful for end user applications, such as blogs, wikis, and bulletin boards, that need to operate in a wide variety of server environments.Security Fix(es):* high resource consumption leading to denial of service (CVE-2023-46136)For more details about the security issue(s), including the impact, a CVSSscore, acknowledgments, and other related information, refer to the CVEpage listed in the References section.Solution:https://access.redhat.com/articles/11258CVEs:CVE-2023-46136References:https://access.redhat.com/security/updates/classification/#moderatehttps://bugzilla.redhat.com/show_bug.cgi?id=2246310Related news
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Werkzeug is a comprehensive WSGI web application library. If an upload of a file that starts with CR or LF and then is followed by megabytes of data without these characters: all of these bytes are appended chunk by chunk into internal bytearray and lookup for boundary is performed on growing buffer. 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. This vulnerability has been patched in version 3.0.1.
Werkzeug multipart data parser needs to find a boundary that may be between consecutive chunks. That's why parsing is based on looking for newline characters. Unfortunately, code looking for partial boundary in the buffer is written inefficiently, so if we upload a file that starts with CR or LF and then is followed by megabytes of data without these characters: all of these bytes are appended chunk by chunk into internal bytearray and lookup for boundary is performed on growing buffer. 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. If many concurrent requests are sent continuously, this can exhaust or kill all available workers.