Vulnerability Monitor

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CVE-2018-11760

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.

Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.5, requiring local system access to exploit with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts integrity (unauthorized modifications), for affected systems. Impacting 1 product from apache organizations running these solutions should prioritize assessment and patching.

Historical Context

First disclosed in 2019, this vulnerability was reported during a period defined by widespread IoT adoption challenges, mobile security concerns, and the emergence of advanced persistent threat (APT) techniques. Contemporary mitigation strategies focused on secure development practices and third-party component vetting.

Published

2019-02-04T17:29:00.280

Last Modified

2024-11-21T03:43:58.443

Status

Modified

Source

[email protected]

Severity

CVSSv3.0: 5.5 (MEDIUM)

CVSSv2 Vector

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

Access Vector: LOCAL
Access Complexity: LOW
Authentication: NONE
Confidentiality Impact: NONE
Integrity Impact: PARTIAL
Availability Impact: NONE

Exploitability Score

3.9

Impact Score

2.9

Weaknesses

Type: Primary
NVD-CWE-noinfo

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	apache	spark	≤ 1.6.3	Yes
Application	apache	spark	≤ 2.0.2	Yes
Application	apache	spark	≤ 2.1.3	Yes
Application	apache	spark	≤ 2.2.2	Yes
Application	apache	spark	≤ 2.3.1	Yes

References

http://www.securityfocus.com/bid/106786 Third Party Advisory ([email protected])
https://lists.apache.org/thread.html/6d015e56b3a3da968f86e0b6acc69f17ecc16b499389e12d8255bf6e%40%3Ccommits.spark.apache.org%3E ([email protected])
https://lists.apache.org/thread.html/a86ee93d07b6f61b82b61a28049aed311f5cc9420d26cc95f1a9de7b%40%3Cuser.spark.apache.org%3E ([email protected])
http://www.securityfocus.com/bid/106786 Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://lists.apache.org/thread.html/6d015e56b3a3da968f86e0b6acc69f17ecc16b499389e12d8255bf6e%40%3Ccommits.spark.apache.org%3E (af854a3a-2127-422b-91ae-364da2661108)
https://lists.apache.org/thread.html/a86ee93d07b6f61b82b61a28049aed311f5cc9420d26cc95f1a9de7b%40%3Cuser.spark.apache.org%3E (af854a3a-2127-422b-91ae-364da2661108)

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For apache's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.