encode Django REST Framework up to 3.17.1 Request Parsing request.py Request._parse resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.39 |
Summary
A vulnerability identified as problematic has been detected in encode Django REST Framework up to 3.17.1. This affects the function Request._parse of the file rest_framework/request.py of the component Request Parsing. Performing a manipulation results in resource consumption.
This vulnerability is reported as CVE-2026-73228. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability classified as problematic has been found in encode Django REST Framework up to 3.17.1. This affects the function Request._parse of the file rest_framework/request.py of the component Request Parsing. The manipulation with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:
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.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-73228 since 08/11/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Upgrading to version 3.17.2 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.1
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Django REST Framework 3.17.2
Timeline
08/11/2026 Advisory disclosed08/11/2026 CVE reserved
08/11/2026 VulDB entry created
08/11/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2026-73228 (🔒)
GCVE (CVE): GCVE-0-2026-73228
GCVE (VulDB): GCVE-100-388467
Entry
Created: 08/11/2026 21:32Changes: 08/11/2026 21:32 (58)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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