acryl-datahub missing JWT signature check
Missing JWT signature check (GHSL-2022-078)
The StatelessTokenService of the DataHub metadata service (GMS) does not verify the signature of JWT tokens. This allows an attacker to connect to DataHub instances as any user if Metadata Service authentication is enabled. This vulnerability occurs because the StatelessTokenService of the Metadata service uses the parse method of io.jsonwebtoken.JwtParser, which does not perform a verification of the cryptographic token signature. This means that JWTs are accepted regardless of the used algorithm.
Impact
This issue may lead to an authentication bypass.
Resources
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | acryl-datahub | < 0.8.45 | 0.8.45 |
References
- https://github.com/datahub-project/datahub/security/advisories/GHSA-r8gm-v65f-c973
- https://nvd.nist.gov/vuln/detail/CVE-2022-39366
- https://codeql.github.com/codeql-query-help/java/java-missing-jwt-signature-check
- https://github.com/datahub-project/datahub
- https://github.com/datahub-project/datahub/blob/aa146db611e3a4ca3aa17bb740783f789d4444d3/metadata-service/auth-impl/src/main/java/com/datahub/authentication/token/StatelessTokenService.java#L134
- https://github.com/datahub-project/datahub/blob/aa146db611e3a4ca3aa17bb740783f789d4444d3/metadata-service/auth-impl/src/main/java/com/datahub/authentication/token/StatelessTokenService.java#L30
- https://github.com/datahub-project/datahub/releases/tag/v0.8.45
- https://pypi.org/project/acryl-datahub
- https://github.com/advisories/GHSA-r8gm-v65f-c973
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:H/A:L- Weakness (CWE)
CWE-347- Platform
- Python (PyPI)
- Package
acryl-datahub- Disclosed
- 31.10.2022
- Updated
- 11.10.2026 12:20
Sources and licenses
OSV / GitHub Advisory Database - GHSA-r8gm-v65f-c973 - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-252 - PyPA Advisory Database; CC BY 4.0
Vulnerability history: acryl-datahub
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
This is the only known vulnerability of this package.
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