5.5 Medium
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
HIGH
Availability Impact
NONE
CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N
2.1 Low
CVSS2
Access Vector
LOCAL
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
PARTIAL
Availability Impact
NONE
AV:L/AC:L/Au:N/C:N/I:P/A:N
0.0004 Low
EPSS
Percentile
5.2%
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.com/advisories/GHSA-fvxv-9xxr-h7wj
github.com/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2019-169.yaml
lists.apache.org/thread.html/6d015e56b3a3da968f86e0b6acc69f17ecc16b499389e12d8255bf6e@%3Ccommits.spark.apache.org%3E
lists.apache.org/thread.html/a86ee93d07b6f61b82b61a28049aed311f5cc9420d26cc95f1a9de7b@%3Cuser.spark.apache.org%3E
nvd.nist.gov/vuln/detail/CVE-2018-11760
web.archive.org/web/20200227091119/www.securityfocus.com/bid/106786
web.archive.org/web/20200925111106/https://issues.apache.org/jira/browse/SPARK-26802
5.5 Medium
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
HIGH
Availability Impact
NONE
CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N
2.1 Low
CVSS2
Access Vector
LOCAL
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
PARTIAL
Availability Impact
NONE
AV:L/AC:L/Au:N/C:N/I:P/A:N
0.0004 Low
EPSS
Percentile
5.2%