CVE-2025-54920

HIGHPre-NVD 8.88.8
EchelonGraph scoreMEDIUM confidence

“—” beside the score: it is equal to the CVSS score beside it.

Score 8.8 from GitHub Security Advisory (severity: HIGH) published 2026-03-16. CISA-ADP (Vulnrichment) CVSS v3.1 baseline 8.8; sources differ by 0.0.

Triggered by: GitHub Security Advisory CVSS
Sources: CISA-ADP (Vulnrichment) CVSS v3.1, EPSS, GitHub Security Advisory
Trending — 3 sources updated this week

Also known asEUVD-2025-208669 (ENISA EUVD) · GHSA-jwp6-cvj8-fw65 (GitHub Security Advisories)Source: ENISA EUVD

8.8EG
EchelonGraph verdictPlan a fixRemediate within your standard update timelines (the SSVC decision on this page).
  • High severity, but no confirmed exploitation yet
CISA-KEV: Not listedEPSS PROB: 5.4%CVSS: 8.8Exploit: None knownExposed services: Not assessed

A fix is available — apply it.

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
8.8
EG Score
8.8HIGHmedium confidence
EG Risk
42
EG Risk 42/100

EG Risk is EchelonGraph's 0–100 priority score. It fuses impact severity (EG Severity, the CVSS base score, never the KEV-floored or EPSS-lifted EG Score) with real-world exploitation and automatability, under weights EchelonGraph set by hand, so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner.

How it’s computed (value × EchelonGraph’s weight)
Severity88% × 45%
Impact severity (EG Severity): CVSS 8.8 of 10. Never the KEV-floored or EPSS-lifted EG Score.
Exploitation5.4% × 40%
FIRST EPSS: the 30-day exploitation probability when EchelonGraph scored this CVE.
Automatability0% × 15%
CISA's SSVC Automatable value: no (Vulnrichment).
SSVC (CISA's decision table, applied by EchelonGraph): Track at low or medium mission impact; Track* at high (mission-essential systems).
Exploitation none (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE.
Action: A fix is available. Apply it within your standard update timelines.
EPSS PROB
5.4%
EPSS %ILE
92nd
KEV
Not listed

What the EG score is made of (scorer v4.0: the three questions the 0–10 score mixes, published apart · methodology)

The EG score (8.8): severity, escalated by confirmed exploitation. This CVE's 8.8 is its impact severity (EG Severity), not escalated.

EG Severity
8.8 HIGHCVSS-B, impact only: no KEV listing, EPSS or EG-KEV tier raises it.GitHub Security Advisory CVSS
EG Likelihood
5.4% within 30 daysSource: FIRST EPSS (model v2026.06.15, score date 2026-10-31). FIRST's exploitation probability, not an EchelonGraph model.
Confirmed exploitation
None on record (CISA KEV, EG-KEV Tier 1)Reported apart from the likelihood: an observed fact, not a probability.
EG Priority
SSVC Track at medium mission impactTrack at low or medium mission impact; Track* at high (mission-essential systems).CISA BOD 26-04: 14 days if the affected system is publicly exposed; Fix on system upgrade if it is not.Each input and its source, and whom BOD 26-04 binds: the SSVC and BOD 26-04 blocks below.

SSVC (CISA's decision table, applied by EchelonGraph)Track at low or medium mission impact; Track* at high (mission-essential systems).

A fix is available. Apply it within your standard update timelines.

Exploitation none (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE. Mission impact is CISA's Mission & Well-being decision point, and only you can judge it. CISA's table makes it high when Mission Prevalence is Essential — the vulnerable component "directly provides capabilities that constitute at least one MEF for at least one entity" (MEF: mission essential function) — or when Public Well-Being Impact is Irreversible: "multiple fatalities are likely", the cyber-physical system "is likely lost or destroyed", "extreme or serious externalities" are imposed on other parties, or social systems such as elections or the financial grid "are destabilized and potentially collapse". CISA's decision table

BOD 26-04 (CISA's remediation timeline, Table 1)14 days if the affected system is publicly exposed; Fix on system upgrade if it is not.

The score's inputs: In CISA KEV no (CISA's KEV catalog) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). Whether your system is publicly exposed is yours to answer. BOD 26-04 binds US Federal Civilian Executive Branch agencies; for anyone else it is CISA's published timeline, a reference rather than an obligation. The directive · how EchelonGraph applies it

Published

March 16, 2026

Last Modified

June 17, 2026

Advisory Details (5)

Auto-updated Jul 27, 2026
Patch available. Sources: github_pr.
Web page

oss-security - CVE-2025-54920: Apache Spark: Spark History Server Code Execution Vulnerability

http://www.openwall.com/lists/oss-security/2026/03/13/4
Web page

[SPARK-52381] JsonProtocol: tidy up deserialization - ASF Jira

https://issues.apache.org/jira/browse/SPARK-52381
GitHub pull request

[SPARK-52381][CORE][3.5] JsonProtocol: Only accept subclasses of SparkListenerEvent

Upstream fix in progress (PR #51323 · apache/spark, state=closed)

https://github.com/apache/spark/pull/51323
GitHub pull request

[SPARK-52381][CORE][4.0] JsonProtocol: Only accept subclasses of SparkListenerEvent

Upstream fix in progress (PR #51312 · apache/spark, state=closed)

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

Patch Availability(5)

Vendor / EcosystemFix (by version range) / PatchReleasedSource
mavenorg.apache.spark:spark-core_2.10—ghsa
mavenorg.apache.spark:spark-core_2.11—ghsa
mavenorg.apache.spark:spark-core_2.12 @ 3.5.7 (fixes < 3.5.7)—ghsa
mavenorg.apache.spark:spark-core_2.13 @ 4.0.1 (fixes >= 4.0.0, < 4.0.1)—ghsa
mavenorg.apache.spark:spark-core_2.9.3—ghsa

Patches are aggregated from vendor advisories (Red Hat, Microsoft, Cisco, GitHub) and package ecosystems (OSV, GHSA). Multiple rows for the same upstream release have been deduplicated.

Affected Packages

(5 across 1 ecosystem)
Maven(5)
PackageVulnerable rangeFix by version rangeDependents
org.apache.spark:spark-core_2.100.9.0-incubating ... 2.2.3 (34 versions)
  • every version through 2.2.3: no fix on record
—
org.apache.spark:spark-core_2.111.2.0 ... 2.4.8 (40 versions)
  • every version through 2.4.8: no fix on record
—
org.apache.spark:spark-core_2.122.4.0 ... 3.5.6 (41 versions)
  • every version up to 3.5.7: fixed in 3.5.7
—
org.apache.spark:spark-core_2.133.2.0 ... 3.5.6 (22 versions)
  • 4.0.0 up to 4.0.1: fixed in 4.0.1
  • every version up to 3.5.7: fixed in 3.5.7
—
org.apache.spark:spark-core_2.9.30.8.0-incubating, 0.8.1-incubating
  • every version through 0.8.1-incubating: no fix on record
—

Weakness Classification(1)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 10× in last 7d / 39× in last 30d)

Each row is a time one of our pipelines fetched, updated or re-scored this CVE. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. An arrow marks a change the record states ("CVSS v3 → 9.1"); EPSS and GHSA rows show the values recorded at that time, not what changed (EPSS values are rounded; hover one for the exact figures). Most recent first.

Showing the most recent 96 of 114 refreshes on record for this CVE.

A repeat, a row identical to one the same pipeline wrote less than 10 seconds earlier, is not a separate refresh and is not counted. 4 repeat rows among the latest 100 are merged into the row they repeat. The 18 oldest rows on record are not shown and were not checked, so the counts can still include repeats.

  1. 2026-11-01 16:33 UTCEPSS rescoreEPSS 5.4% · 92nd percentile
  2. 2026-11-01 08:04 UTCGHSA enrichmentGHSA-jwp6-cvj8-fw65 · GitHub severity HIGH · GitHub CVSS 8.8
  3. 2026-11-01 08:04 UTCEG score recompute
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  1. 2026-10-12 16:56 UTCEG score recompute
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  6. 2026-10-11 13:47 UTCEPSS rescoreEPSS 5.4% · 92nd percentile
  7. 2026-10-11 10:14 UTCOSV refresh
  8. 2026-10-10 19:59 UTCEPSS rescoreEPSS 5.3% · 92nd percentile
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Frequently asked(5)

What is CVE-2025-54920?
CVE-2025-54920 is a high-severity vulnerability; its CVE record was published on March 16, 2026. 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…
When was the CVE record for CVE-2025-54920 published?
The CVE record for CVE-2025-54920 was published on March 16, 2026. That is the record's publication date; the vulnerability itself may have been made public earlier. EchelonGraph's copy of the record carries a last-modified date of June 17, 2026; the record at its source may have been updated since.
Is CVE-2025-54920 actively exploited?
CVE-2025-54920 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 5.4% probability of exploitation in the next 30 days (92nd percentile of EPSS-scored CVEs).
What is the CVSS score of CVE-2025-54920?
CVE-2025-54920 has a CVSS v3.1 base score of 8.8 (CISA-ADP / Vulnrichment enrichment; NVD's own analysis pending).
How do I remediate CVE-2025-54920?
A fix for CVE-2025-54920 is available: update to the fixed version the vendor names in its advisory.

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