Vantara Pentaho Data Integration and Analytics vulnerabilitiesRanked by how likely they are to be used.

Product0 versions
The short answer

Vantara Pentaho Data Integration and Analytics is made by Hitachi. We track 1 published vulnerability in it, across 0 versions. None of them is on the list of flaws known to be exploited today. If you run Vantara Pentaho Data Integration and Analytics, keep it on a version the vendor still supports.

See the riskiest flaws

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Known exploited

Which Vantara Pentaho Data Integration and Analytics vulnerabilities are being exploited?

This is the list that matters most: flaws criminals are using now.

None of Vantara Pentaho Data Integration and Analytics's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.

Exploit likelihood

Which Vantara Pentaho Data Integration and Analytics flaws are most likely to be used?

Ranked by the latest exploit-likelihood forecast: the chance each flaw is used in an attack in the next 30 days. A high severity score on its own doesn't tell you that. Flaws shared by many other makers' products are left out.

50% or more10% to 49%Under 10%
  1. 0.4%

    Hitachi Vantara Pentaho Data Integration & Analytics versions before 10.1.0.0 and 9.3.0.6, including 9.5.x and 8.3.x, display the version of Tomcat when a server error is encountered.

    CVSS5.3Published28 Feb 2024
  2. 0.3%

    Hitachi Vantara Pentaho Data Integration & Analytics of all versions contain a JDBC driver for H2 databases which is vulnerable to external script execution when a new connection is created by a data source...

    CVSS9.1Published13 May 2026
Precursor Intelligence

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FAQ

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We track 1 published vulnerability listed under the name Vantara Pentaho Data Integration and Analytics, across 0 versions.

None of Vantara Pentaho Data Integration and Analytics's vulnerabilities is on the list of flaws known to be exploited today.

Create a Precursor Intelligence account and track Vantara Pentaho Data Integration and Analytics. We match it against every published flaw, give each one a risk score from 0 to 100 and keep watching, so you hear about new ones as soon as we know, by email, in the app or by webhook.