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CVE-2017-12612


In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.2.0 or later.


Security Impact Summary

This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.8, requiring local system access to exploit with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 1 product from apache organizations running these solutions should prioritize assessment and patching.

Historical Context

First disclosed in 2017, 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

2017-09-13T16:29:00.477

Last Modified

2026-05-13T00:24:29.033

Status

Modified

Source

[email protected]

Severity

CVSSv3.0: 7.8 (HIGH)

CVSSv2 Vector

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

  • Access Vector: LOCAL
  • Access Complexity: LOW
  • Authentication: NONE
  • Confidentiality Impact: COMPLETE
  • Integrity Impact: COMPLETE
  • Availability Impact: COMPLETE
Exploitability Score

3.9

Impact Score

10.0

Weaknesses
  • Type: Primary
    CWE-502

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application apache spark 1.6.0 Yes
Application apache spark 1.6.1 Yes
Application apache spark 1.6.2 Yes
Application apache spark 1.6.3 Yes
Application apache spark 2.0.0 Yes
Application apache spark 2.0.1 Yes
Application apache spark 2.0.2 Yes
Application apache spark 2.1.0 Yes
Application apache spark 2.1.1 Yes

References

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.