Cloud Pak for Data vulnerabilitiesRanked by how likely they are to be used.

Product32 versions
The short answer

Cloud Pak for Data is made by IBM. We track 12 published vulnerabilities in it, across 32 versions. None of them is on the list of flaws known to be exploited today. If you run Cloud Pak for Data, keep it on a version the vendor still supports.

See the riskiest flaws

We keep watching the known-exploited list.

Known exploited

Which Cloud Pak for Data vulnerabilities are being exploited?

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

None of Cloud Pak for Data's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.

Exploit likelihood

Which Cloud Pak for Data 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. 1.3%

    IBM Watson CP4D Data Stores 4.6.0 does not properly allocate resources without limits or throttling which could allow a remote attacker with information specific to the system to cause a denial of service.

    CVSS7.5Published10 Jul 2023
  2. 0.9%

    IBM Big SQL on IBM Cloud Pak for Data 7.1.0, 7.1.1, 7.2.0, and 7.2.3 could allow an authenticated user with appropriate permissions to obtain sensitive information by bypassing data masking rules using a CREATE TABLE...

    CVSS6.5Published14 Mar 2022
  3. 0.9%

    IBM Cloud Pak for Data 4.5 and 4.6 could allow a privileged user to upload malicious files of dangerous types that can be automatically processed within the product's environment.

    CVSS7.2Published26 Apr 2023
  4. 0.9%

    IBM Cloud Pak for Data 3.0 could allow an authenticated user to obtain sensitive information when installed with additional plugins.

    CVSS6.5Published26 May 2021
  5. 0.7%

    Planning Analytics Cartridge for Cloud Pak for Data 4.0 exposes sensitive information in logs which could lead an attacker to exploit this vulnerability to conduct further attacks.

    CVSS7.5Published19 Jul 2023
  6. 0.6%

    IBM DataStage on Cloud Pak for Data 4.0.6 to 4.5.2 stores sensitive credential information that can be read by a privileged user.

    CVSS4.9Published12 Feb 2024
  7. 0.6%

    Planning Analytics Cartridge for Cloud Pak for Data 4.0 exposes sensitive information in logs which could lead an attacker to exploit this vulnerability to conduct further attacks.

    CVSS7.5Published19 Jul 2023
  8. 0.5%

    IBM Planning Analytics Cartridge for Cloud Pak for Data 4.0 connects to a CouchDB server.

    CVSS7.5Published19 Jul 2023
  9. 0.3%

    IBM Db2 on Cloud Pak for Data and Db2 Warehouse on Cloud Pak for Data versions 4.8, 5.0, 5.1, 5.2, 5.3 could allow a privileged user to perform operations and obtain sensitive information outside of their authority...

    CVSS6.0Published22 Jun 2026
  10. 0.3%

    IBM Cloud Pak for Data 4.0.0 through 4.8.5 and 5.0.0 is vulnerable to cross-site scripting.

    CVSS6.1Published26 Feb 2025
Precursor Intelligence

Running Cloud Pak for Data? We'll keep checking.

Looking flaws up one at a time doesn't scale. Tell us what you run once, and we tell you which flaws matter to you, in what order, and keep watching for new ones.

  1. Tell us what you runPick your software from a list, or let us work it out from your website.
  2. We match it to every flawOver 400,000 published flaws, checked against your list.
  3. Ranked by real-world riskA 0 to 100 score, led by evidence criminals are using it.
  4. Told as soon as we knowAn alert by email, in the app or by webhook to your own tools.

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FAQ

Common questions, answered plainly.

Something else? Talk to the team →

We track 12 published vulnerabilities listed under the name Cloud Pak for Data, across 32 versions.

None of Cloud Pak for Data's vulnerabilities is on the list of flaws known to be exploited today.

Create a Precursor Intelligence account and track Cloud Pak for Data. 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.