CVE-2018-1334

In Apache Spark 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, when using PySpark or SparkR, it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application.

CVSS v3 4.7 MEDIUM
CVSS v2.0 1.9 LOW

4.7^/10

CVSS v3 : MEDIUM

Vector : AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N

Exploitability : 1.0 / Impact : 3.6

Attack Vector LOCAL

Attack Complexity HIGH

Privileges Required LOW

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact HIGH

Availability Impact NONE

Scope UNCHANGED

1.9^/10

CVSS v2.0 : LOW

Vector : AV:L/AC:M/Au:N/C:N/I:P/A:N

Exploitability : 3.4 / Impact : 2.9

Access Vector LOCAL

Access Complexity MEDIUM

Authentication NONE

Confidentiality Impact NONE

Integrity Impact PARTIAL

Availability Impact NONE

References

Link	Resource
https://lists.apache.org/thread.html/4d6d210e319a501b740293daaeeeadb51927111fb8261a3e4cd60060%40%3Cdev.spark.apache.org%3E
https://spark.apache.org/security.html#CVE-2018-1334	Mitigation Vendor Advisory

Configurations

Configuration 1 (hide)

OR	cpe:2.3:a:apache:spark::::::::
	cpe:2.3:a:apache:spark::::::::
	cpe:2.3:a:apache:spark:2.3.0:::::::*

History

No history.

Information

Published : 2018-07-12 13:29

Updated : 2024-02-04 20:03

NVD link : CVE-2018-1334

Mitre link : CVE-2018-1334

CVE.ORG link : CVE-2018-1334

JSON object : View

Products Affected

apache

spark

CWE

CWE-200

Exposure of Sensitive Information to an Unauthorized Actor

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