CVE-2026-73228 (GCVE-0-2026-73228)
Vulnerability from cvelistv5 – Published: 2026-08-11 18:54 – Updated: 2026-08-13 14:07
VLAI
EPSS
VEX
Title
Django REST framework: Potential bypass of Django `DATA_UPLOAD_MAX_MEMORY_SIZE` when parsing oversized JSON and urlencoded request bodies via DRF `request.data`
Summary
Django REST framework is a toolkit for building Web APIs. Prior to 3.17.2, Django REST Framework's request.data parsing in rest_framework/request.py Request._parse() passes the underlying HttpRequest stream to JSONParser and FormParser for application/json and application/x-www-form-urlencoded bodies, bypassing Django's DATA_UPLOAD_MAX_MEMORY_SIZE protection and allowing oversized request bodies to consume additional memory and CPU. This issue is fixed in version 3.17.2.
Severity
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-13 13:17 UTC
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/encode/django-rest-framework/s… | x_refsource_CONFIRM |
| https://github.com/encode/django-rest-framework/p… | x_refsource_MISC |
| https://github.com/encode/django-rest-framework/c… | x_refsource_MISC |
| https://github.com/encode/django-rest-framework/c… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| encode | django-rest-framework |
Affected:
< 3.17.2
|
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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