Kludex python-multipart up to 0.0.26 allocation of resources
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Kludex python-multipart up to 0.0.26. Affected is an unknown function. Performing a manipulation results in allocation of resources. This vulnerability is reported as CVE-2026-42561. The attack is possible to be carried out remotely. No exploit exists. It is recommended to upgrade the affected component.
Details
A vulnerability, which was classified as problematic, was found in Kludex python-multipart up to 0.0.26. This affects some unknown processing. The manipulation with an unknown input leads to a allocation of resources vulnerability. CWE is classifying the issue as CWE-770. The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor. This is going to have an impact on availability. The summary by CVE is:
Python-Multipart is a streaming multipart parser for Python. Prior to 0.0.27, python-multipart has a denial of service vulnerability in multipart part header parsing. When parsing multipart/form-data, MultipartParser previously had no limit on the number of part headers or the size of an individual part header. An attacker could send a request with either many repeated headers without terminating the header block or a single very large header value, causing excessive CPU work before request rejection or completion. This vulnerability is fixed in 0.0.27.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-42561 since 04/28/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Upgrading to version 0.0.27 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
- 0.0.1
- 0.0.2
- 0.0.3
- 0.0.4
- 0.0.5
- 0.0.6
- 0.0.7
- 0.0.8
- 0.0.9
- 0.0.10
- 0.0.11
- 0.0.12
- 0.0.13
- 0.0.14
- 0.0.15
- 0.0.16
- 0.0.17
- 0.0.18
- 0.0.19
- 0.0.20
- 0.0.21
- 0.0.22
- 0.0.23
- 0.0.24
- 0.0.25
- 0.0.26
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Allocation of resourcesCWE: CWE-770 / CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: python-multipart 0.0.27
Timeline
04/28/2026 CVE reserved05/14/2026 Advisory disclosed
05/14/2026 VulDB entry created
05/14/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-pp6c-gr5w-3c5g
Status: Confirmed
CVE: CVE-2026-42561 (🔒)
GCVE (CVE): GCVE-0-2026-42561
GCVE (VulDB): GCVE-100-363747
Entry
Created: 05/14/2026 05:42Changes: 05/14/2026 05:42 (64)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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