koxudaxi datamodel-code-generator up to 0.61.x XML Schema Parsing xmlschema.py information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.4 | $0-$5k | 2.03 |
Summary
A vulnerability classified as problematic has been found in koxudaxi datamodel-code-generator up to 0.61.x. This impacts an unknown function of the file src/datamodel_code_generator/parser/xmlschema.py of the component XML Schema Parsing. This manipulation causes information disclosure. The identification of this vulnerability is CVE-2026-55390. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in koxudaxi datamodel-code-generator up to 0.61.x. It has been declared as problematic. Affected by this vulnerability is some unknown processing of the file src/datamodel_code_generator/parser/xmlschema.py of the component XML Schema Parsing. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:
datamodel-code-generator generates Python data models from schema definitions. From 0.59.0 until 0.62.0, XML Schema parsing in src/datamodel_code_generator/parser/xmlschema.py for --input-file-type xmlschema resolves xs:include, xs:import, xs:redefine, and xs:override schemaLocation values outside the input base path, allowing arbitrary local files to be read and reflected into generated models. This issue is fixed in version 0.62.0.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-55390 since 06/16/2026. The exploitation appears to be easy. The attack can be launched remotely. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
Upgrading to version 0.62.0 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
- 0.1
- 0.2
- 0.3
- 0.4
- 0.5
- 0.6
- 0.7
- 0.8
- 0.9
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- 0.11
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- 0.51
- 0.52
- 0.53
- 0.54
- 0.55
- 0.56
- 0.57
- 0.58
- 0.59
- 0.60
- 0.61
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.5VulDB Meta Temp Score: 3.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
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: datamodel-code-generator 0.62.0
Timeline
06/16/2026 CVE reserved07/28/2026 Advisory disclosed
07/28/2026 VulDB entry created
07/28/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-55390 (🔒)
GCVE (CVE): GCVE-0-2026-55390
GCVE (VulDB): GCVE-100-384019
Entry
Created: 07/28/2026 23:51Changes: 07/28/2026 23:51 (56)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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