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@renovate renovate bot commented Aug 14, 2025

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
Werkzeug (changelog) ==0.15.5 -> ==3.0.6 age adoption passing confidence

GitHub Vulnerability Alerts

CVE-2023-25577

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.

CVE-2023-23934

Browsers may allow "nameless" cookies that look like =value instead of key=value. A vulnerable browser may allow a compromised application on an adjacent subdomain to exploit this to set a cookie like =__Host-test=bad for another subdomain.

Werkzeug <= 2.2.2 will parse the cookie =__Host-test=bad as __Host-test=bad. If a Werkzeug application is running next to a vulnerable or malicious subdomain which sets such a cookie using a vulnerable browser, the Werkzeug application will see the bad cookie value but the valid cookie key.

CVE-2023-46136

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.

CVE-2024-34069

The debugger in affected versions of Werkzeug can allow an attacker to execute code on a developer's machine under some circumstances. This requires the attacker to get the developer to interact with a domain and subdomain they control, and enter the debugger PIN, but if they are successful it allows access to the debugger even if it is only running on localhost. This also requires the attacker to guess a URL in the developer's application that will trigger the debugger.

CVE-2024-49766

On Python < 3.11 on Windows, os.path.isabs() does not catch UNC paths like //server/share. Werkzeug's safe_join() relies on this check, and so can produce a path that is not safe, potentially allowing unintended access to data. Applications using Python >= 3.11, or not using Windows, are not vulnerable.

CVE-2024-49767

Applications using Werkzeug to parse multipart/form-data requests are vulnerable to resource exhaustion. A specially crafted form body can bypass the Request.max_form_memory_size setting.

The Request.max_content_length setting, as well as resource limits provided by deployment software and platforms, are also available to limit the resources used during a request. This vulnerability does not affect those settings. All three types of limits should be considered and set appropriately when deploying an application.


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@secure-code-warrior-for-github

Micro-Learning Topic: Denial of service (Detected by phrase)

Matched on "denial of service"

The Denial of Service (DoS) attack is focused on making a resource (site, application, server) unavailable for the purpose it was designed. There are many ways to make a service unavailable for legitimate users by manipulating network packets, programming, logical, or resources handling vulnerabilities, among others. Source: https://www.owasp.org/index.php/Denial_of_Service

Try a challenge in Secure Code Warrior

Micro-Learning Topic: Resource exhaustion (Detected by phrase)

Matched on "resource exhaustion"

What is this? (2min video)

Allocating objects or timers with user-controlled sizes or durations can cause resource exhaustion.

Try a challenge in Secure Code Warrior

Micro-Learning Topic: SQL injection (Detected by phrase)

Matched on "sqli"

What is this? (2min video)

This is probably one of the two most exploited vulnerabilities in web applications and has led to a number of high profile company breaches. It occurs when an application fails to sanitize or validate input before using it to dynamically construct a statement. An attacker that exploits this vulnerability will be able to gain access to the underlying database and view or modify data without permission.

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Helpful references

@renovate renovate bot force-pushed the renovate/pypi-werkzeug-vulnerability branch from d45c1aa to af68c38 Compare August 21, 2025 10:30
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github-actions bot commented Aug 21, 2025

🔐 Secure Code Review (AI)

No eligible code changes.


Models can make mistakes. Verify before merging.

@renovate renovate bot force-pushed the renovate/pypi-werkzeug-vulnerability branch 12 times, most recently from 8996e66 to ceae65d Compare August 22, 2025 07:14
@renovate renovate bot force-pushed the renovate/pypi-werkzeug-vulnerability branch from ceae65d to ffafb9b Compare August 22, 2025 07:15
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