Apache SparkGHSA-8rhc-48pp-52gr
Apache Spark Deserialization of Untrusted Data vulnerability
High7.8CVE-2017-12612 · Published Nov 9, 2018 · updated Nov 26, 2024
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| pyspark PyPI | < 2.1.2 | 2.1.2 |
Details and references
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 2.1.2, 2.2.0 or later.
- CVSS 3.0
- CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-502
- Also known as
- CVE-2017-12612, PYSEC-2017-147
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|---|---|---|---|
| Feb 72019 | Pyspark User Impersonation Vulnerability CVE-2018-11760Medium5.5fixed in 2.2.3, 2.3.2 | Medium5.5 | 2.2.3, 2.3.2 |
| Mar 142019 | Exposure of Sensitive Information to an Unauthorized Actor in Apache Spark CVE-2018-1334Medium4.7fixed in 2.1.3, 2.2.2 | Medium4.7 | 2.1.3, 2.2.2 |
| Aug 82019 | Sensitive data written to disk unencrypted in Spark CVE-2019-10099High7.5fixed in 2.3.3 | High7.5 | 2.3.3 |
| Feb 102022 | Improper Authentication in Apache Spark CVE-2020-9480Critical9.8fixed in 2.4.6 | Critical9.8 | 2.4.6 |
| Mar 112022 | Authentication Bypass by Capture-replay in Apache Spark CVE-2021-38296High7.5fixed in 3.1.3 | High7.5 | 3.1.3 |
| Jul 192022 | Apache Spark UI can allow impersonation if ACLs enabled CVE-2022-33891High8.8fixed in 3.1.3, 3.2.2 | High8.8 | 3.1.3, 3.2.2 |