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CVE-2025-9121VulnerabilityPublished Updated

CVE-2025-9121: Hitachi Vantara Pentaho Data Integration and Analytics · Deserialization of Untrusted Data

Affects Hitachi Vantara Pentaho Data Integration and AnalyticsSource CVE Database V5

0

Not known to be exploited · CVSS 8.8 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
8.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 37% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 15 Dec 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
Hitachi Vantara Pentaho Data Integration and AnalyticsAffected
  • =1.0
Fixed in–

AI-suggested

Organizations should immediately inventory their Pentaho deployments to identify affected versions prior to 10.2.0.4. Although no official patches are currently listed, monitoring Hitachi Vantara advisories for updates is critical. In the interim, restrict network access to Pentaho services by implementing strict firewall rules and network segmentation to limit exposure to untrusted networks. Employ application-layer controls such as web application firewalls (WAFs) with custom rules to detect and block suspicious JSON payloads. Implement strict input validation and sanitization on any data sources feeding into Pentaho dashboards. Consider deploying runtime application self-protection (RASP) solutions to detect anomalous deserialization behavior. Limit privileges of the Pentaho service account to the minimum necessary to reduce impact if compromised. Conduct regular security assessments and penetration testing focused on deserialization vectors. Finally, prepare incident response plans specific to analytics platform compromises.

Description

Pentaho Data Integration and Analytics Community Dashboard Editor plugin versions before 10.2.0.4, including 9.3.0.x and 8.3.x, deserialize untrusted JSON data without constraining the parser to approved classes and methods.

References

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