spark: local priviledge escalation when using PySpark
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Apache Software Foundation | Apache Spark | affected |
|
Configuration 1 [-]
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No data.
No data available yet.
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2019-0111 | When using PySpark , it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. This affects versions 1.x, 2.0.x, 2.1.x, 2.2.0 to 2.2.2, and 2.3.0 to 2.3.1. |
Github GHSA |
GHSA-fvxv-9xxr-h7wj | Pyspark User Impersonation Vulnerability |
No CVSS v4.0
No CVSS v3.1
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.605% probability within 30 days)
Key SSVC decision points have not yet been added.
No history.