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CVE-2024-22341: CWE-73 External Control of File Name or Path in IBM Watson Query on Cloud Pak for Data

0
Medium
VulnerabilityCVE-2024-22341cvecve-2024-22341cwe-73
Published: Sat Feb 22 2025 (02/22/2025, 00:38:24 UTC)
Source: CVE Database V5
Vendor/Project: IBM
Product: Watson Query on Cloud Pak for Data

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.

AI-Powered Analysis

AILast updated: 10/04/2025, 10:27:30 UTC

Technical Analysis

CVE-2024-22341 is a medium-severity vulnerability identified in IBM Watson Query on Cloud Pak for Data versions 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. The vulnerability is categorized under CWE-73, which pertains to External Control of File Name or Path. This flaw arises due to improper privilege management within the product, specifically allowing unauthorized data access from a remote data source object. The vulnerability enables an attacker with low privileges to remotely access sensitive data without requiring user interaction. The CVSS v3.1 base score is 5.3, reflecting a medium severity level. The attack vector is network-based (AV:N), requiring low privileges (PR:L) but no user interaction (UI:N). The complexity is high (AC:H), indicating some difficulty in exploitation. The impact is primarily on confidentiality (C:H), with no impact on integrity or availability. No known exploits are currently reported in the wild, and no patches are linked in the provided information, suggesting that remediation may require vendor updates or configuration changes once available. The vulnerability could allow attackers to bypass intended access controls and retrieve sensitive data from remote data sources integrated with IBM Watson Query on Cloud Pak for Data, potentially exposing confidential business or personal information.

Potential Impact

For European organizations, this vulnerability poses a significant risk to data confidentiality, especially for entities relying on IBM Watson Query on Cloud Pak for Data for analytics and data integration. Unauthorized access to sensitive data could lead to data breaches, regulatory non-compliance (e.g., GDPR violations), and reputational damage. Given the nature of the vulnerability—external control of file names or paths—attackers might exploit it to access data repositories or files not intended for their access level. This is particularly critical for sectors handling sensitive personal data, financial information, or intellectual property. The medium severity score indicates that while exploitation is not trivial, the potential impact on confidentiality is high. European organizations with distributed cloud environments or hybrid data sources may face increased exposure due to the network-based attack vector. The lack of known exploits currently reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits over time.

Mitigation Recommendations

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.

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Technical Details

Data Version
5.1
Assigner Short Name
ibm
Date Reserved
2024-01-08T23:42:17.267Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 68e0f3c4b66c7f7acdd3ea1b

Added to database: 10/4/2025, 10:15:32 AM

Last enriched: 10/4/2025, 10:27:30 AM

Last updated: 10/16/2025, 2:53:14 PM

Views: 10

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