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CVE-2024-22341VulnerabilityPublished Updated

CVE-2024-22341: IBM Watson Query on Cloud Pak for Data · External Control of File Name or Path

Affects IBM Watson Query on Cloud Pak for DataSource CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 39% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 22 Feb 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 2026-10-25.

What to do

Affected software

ProductAffectedFixed in
IBM Watson Query on Cloud Pak for DataAffected
  • =4.8.0
  • =4.7.0
  • =4.6.0
  • =4.5.0
  • =4.0.0
Fixed in–

AI-suggested

1. Monitor IBM's official security advisories and apply patches or updates promptly once available to address CVE-2024-22341. 2. Review and tighten privilege management configurations within IBM Watson Query on Cloud Pak for Data, ensuring that remote data source objects have strict access controls and minimal privileges assigned. 3. Implement network segmentation and firewall rules to restrict access to IBM Watson Query services only to trusted networks and users. 4. Conduct thorough audits of data source connections and access logs to detect any unauthorized or anomalous access attempts. 5. Employ data encryption at rest and in transit to reduce the impact of unauthorized data access. 6. Use multi-factor authentication and strong identity and access management policies to limit the risk of privilege escalation. 7. Consider deploying runtime application self-protection (RASP) or web application firewalls (WAF) that can detect and block suspicious path or file name manipulations. 8. Train security teams to recognize indicators of compromise related to unauthorized data access attempts in IBM Watson Query environments.

Description

IBM Watson Query on Cloud Pak for Data 4.0.0 through 4.0.9, 4.5.0 through 4.5.3, 4.6.0 through 4.6.6, 4.7.0 through 4.7.4, and 4.8.0 through 4.8.7 could allow unauthorized data access from a remote data source object due to improper privilege management.

References

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