PyPI: werkzeug
CVE-2023-25577
Safety vulnerability ID: SFTY-20230214-49037
Safety legacy ID: pyup.io-53325
Werkzeug 2.2.3 includes a fix for CVE-2023-25577: 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. https://github.com/pallets/werkzeug/security/advisories/GHSA-xg9f-g7g7-2323
Overview
High resource usage when parsing multipart form data with many fields
Advisory
Werkzeug 2.2.3 includes a fix for CVE-2023-25577: 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. https://github.com/pallets/werkzeug/security/advisories/GHSA-xg9f-g7g7-2323
How to Fix
Mitigation and Workarounds
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Vulnerable Functions
Functions linked to known vulnerabilities.
References
- https://getsafety.com/vulnerabilities/SFTY-20230214-49037/CVE-2023-25577
- https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-25577
- https://github.com/pallets/werkzeug/commit/517cac5a804e8c4dc4ed038bb20dacd038e7a9f1
- https://github.com/pallets/werkzeug/commit/cbb446fdcada7685fce936ded01b76c08dbd6eb5
- https://github.com/pallets/werkzeug/releases/tag/2.2.3
- https://github.com/pallets/werkzeug/security/advisories/GHSA-xg9f-g7g7-2323
- https://security.netapp.com/advisory/ntap-20230818-0003/
- https://www.debian.org/security/2023/dsa-5470
- https://github.com/pallets/werkzeug/security/advisories/GHSA-xg9f-g7g7-2323
- https://nvd.nist.gov/vuln/detail/CVE-2023-25577
- https://github.com/pallets/werkzeug/commit/517cac5a804e8c4dc4ed038bb20dacd038e7a9f1
- https://github.com/pallets/werkzeug/releases/tag/2.2.3
- https://www.debian.org/security/2023/dsa-5470
- https://github.com/pypa/advisory-database/tree/main/vulns/werkzeug/PYSEC-2023-58.yaml
- https://security.netapp.com/advisory/ntap-20230818-0003
- https://github.com/advisories/GHSA-xg9f-g7g7-2323
Verified by Safety
Our Cybersecurity Intelligence Team reviewed this vulnerability. We combine public data with our own research to find issues not yet reported to public sources.
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