Vulnerability Name:

CVE-2018-1334 (CCN-146303)

Assigned:2017-12-07
Published:2018-07-11
Updated:2018-09-10
Summary: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 Severity:4.7 Medium (CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N)
4.1 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N/E:U/RL:O/RC:C)
Exploitability Metrics:Attack Vector (AV): Local
Attack Complexity (AC): High
Privileges Required (PR): Low
User Interaction (UI): None
Scope:Scope (S): Unchanged
Impact Metrics:Confidentiality (C): None
Integrity (I): High
Availibility (A): None
8.4 High (CCN CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
7.3 High (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H/E:U/RL:O/RC:C)
Exploitability Metrics:Attack Vector (AV): Local
Attack Complexity (AC): Low
Privileges Required (PR): None
User Interaction (UI): None
Scope:Scope (S): Unchanged
Impact Metrics:Confidentiality (C): High
Integrity (I): High
Availibility (A): High
CVSS v2 Severity:1.9 Low (CVSS v2 Vector: AV:L/AC:M/Au:N/C:N/I:P/A:N)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): Medium
Authentication (Au): None
Impact Metrics:Confidentiality (C): None
Integrity (I): Partial
Availibility (A): None
7.2 High (CCN CVSS v2 Vector: AV:L/AC:L/Au:N/C:C/I:C/A:C)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): Low
Athentication (Au): None
Impact Metrics:Confidentiality (C): Complete
Integrity (I): Complete
Availibility (A): Complete
Vulnerability Type:CWE-200
Vulnerability Consequences:Gain Privileges
References:Source: MITRE
Type: CNA
CVE-2018-1334

Source: CCN
Type: oss-sec Mailing List, Wed, 11 Jul 2018 15:18:36 -0500
CVE-2018-1334 Apache Spark local privilege escalation vulnerability

Source: CCN
Type: IBM Security Bulletin 738357 (Operations Analytics - Predictive Insights)
Vulnerabilities in Apache Spark affect IBM Operations Analytics Predictive Insights (CVE-2018-8024, CVE-2018-1334)

Source: XF
Type: UNKNOWN
apache-spark-cve20181334-priv-esc(146303)

Source: MLIST
Type: Mailing List, Mitigation, Vendor Advisory
[dev] 20180711 CVE-2018-1334 Apache Spark local privilege escalation vulnerability

Source: CCN
Type: Apache Web site
Apache Spark

Source: CONFIRM
Type: Mitigation, Vendor Advisory
https://spark.apache.org/security.html#CVE-2018-1334

Vulnerable Configuration:Configuration 1:
  • cpe:/a:apache:spark:*:*:*:*:*:*:*:* (Version <= 2.1.2)
  • OR cpe:/a:apache:spark:*:*:*:*:*:*:*:* (Version >= 2.2.0 and <= 2.2.1)
  • OR cpe:/a:apache:spark:2.3.0:*:*:*:*:*:*:*

  • Configuration CCN 1:
  • cpe:/a:apache:spark:2.1.1:*:*:*:*:*:*:*

  • * Denotes that component is vulnerable
    BACK
    apache spark *
    apache spark *
    apache spark 2.3.0
    apache spark 2.1.1