CVE-2026-33034
Received Received - Intake
Unbounded Memory Load via Content-Length Bypass in Django

Publication date: 2026-04-07

Last updated on: 2026-04-13

Assigner: Django Software Foundation

Description
An issue was discovered in 6.0 before 6.0.4, 5.2 before 5.2.13, and 4.2 before 4.2.30. ASGI requests with a missing or understated `Content-Length` header could bypass the `DATA_UPLOAD_MAX_MEMORY_SIZE` limit when reading `HttpRequest.body`, allowing remote attackers to load an unbounded request body into memory. Earlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected. Django would like to thank Superior for reporting this issue.
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Meta Information
Published
2026-04-07
Last Modified
2026-04-13
Generated
2026-05-07
AI Q&A
2026-04-07
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 3 associated CPEs
Vendor Product Version / Range
djangoproject django From 4.2 (inc) to 4.2.30 (exc)
djangoproject django From 5.2 (inc) to 5.2.13 (exc)
djangoproject django From 6.0 (inc) to 6.0.4 (exc)
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-770 The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated.
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AI Powered Q&A
Can you explain this vulnerability to me?

This vulnerability occurs in certain versions of Django (6.0 before 6.0.4, 5.2 before 5.2.13, and 4.2 before 4.2.30) where ASGI requests with a missing or understated Content-Length header can bypass the DATA_UPLOAD_MAX_MEMORY_SIZE limit.

Because of this, remote attackers can send requests with an unbounded request body that gets loaded into memory, potentially causing excessive memory usage.


How can this vulnerability impact me? :

This vulnerability allows remote attackers to bypass memory limits on request bodies, which can lead to excessive memory consumption on the server.

Such excessive memory usage can degrade server performance, cause denial of service by exhausting server resources, or potentially crash the application.


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