acryl-datahub missing JWT signature checkGHSA-r8gm-v65f-c973
CRITICALGHSA-r8gm-v65f-c973 is a critical-severity (CVSS 9.9) Improper Authentication vulnerability in acryl-datahub. 2 public exploit or proof-of-concept references are indexed, so weaponization risk is real. A fix is available for acryl-datahub — see the affected versions and patch details below.
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
- CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
Exploitation and automatability from CISA’s SSVC triage for GHSA-r8gm-v65f-c973.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
Where this sits among everything scored
Real-World Exposure
acryl-datahubReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
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 Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | acryl-datahub | all versions | 0.8.45pip install --upgrade 'acryl-datahub==0.8.45' |
Affected Products
datahubdatahubResearch use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for acryl-datahub, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update acryl-datahub to 0.8.45 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-r8gm-v65f-c973 is resolved across your whole dependency graph.
Workarounds
Put an independent control in front of the weakness: restrict the affected endpoint or interface to trusted networks, require an additional authentication factor or proxy-level check, and invalidate existing sessions and credentials in case the flaw has already been used.
Frequently Asked Questions
Is GHSA-r8gm-v65f-c973 in your dependencies?
Find it across PyPI, including transitive dependencies.