CVE-2025-36319: IBM watsonx.data Intelligence DoS Vulnerability

Technical summary

CVE-2025-36319 stems from insufficient resource allocation throttling in IBM watsonx.data intelligence. The affected versions fail to properly enforce limits on HTTP request processing, allowing an authenticated attacker to craft requests that consume disproportionate system resources. This violates CWE-770 (Allocation of Resources Without Limits or Throttling) principles. The CVSS 3.1 score of 4.3 reflects that while the attack requires prior authentication and produces only temporary service degradation, the network-accessible nature and low complexity of exploitation create meaningful operational risk.

Business impact

Organizations operating affected watsonx.data intelligence instances may experience temporary service interruptions initiated by authenticated users or compromised accounts. In data-intensive environments where watsonx.data serves analytics or machine-learning workflows, denial-of-service events could disrupt decision-making processes, delay data pipeline execution, and impact dependent applications. The threat is amplified if service accounts or broadly-scoped credentials are compromised, enabling a wider attack surface.

Affected systems

IBM watsonx.data intelligence versions 5.2.0, 5.2.1, 5.2.2, and 5.3.0 are confirmed vulnerable. Organizations using these releases should prioritize inventory verification. Verify your current version against IBM's product support portal. The vulnerability also affects IBM Software Hub instances that bundle or depend on watsonx.data intelligence—check your deployment model to confirm exposure.

Exploitability

This vulnerability requires valid authentication credentials to exploit, which meaningfully constrains the attack surface compared to unauthenticated flaws. However, the low attack complexity and network accessibility mean that insider threats, compromised service accounts, or credential stuffing against weak authentication mechanisms present realistic exploit scenarios. Public exploit code has not been reported, but the straightforward nature of crafting malicious HTTP requests suggests proof-of-concept development is within reach for determined actors.

Remediation

IBM has released patched versions addressing this flaw. Consult IBM's security advisories and release notes to identify the specific patched versions for your deployment model (cloud-hosted, on-premises, or containerized). Patching is the definitive remediation. Organizations unable to patch immediately should implement network-level access controls restricting HTTP traffic to watsonx.data intelligence and enforce strict authentication policies, credential rotation, and monitoring of service account activity.

Patch guidance

Apply the latest available patch version for your watsonx.data intelligence release line. IBM's security advisories will specify the patched version numbers—verify these directly with IBM support or your vendor portal rather than assuming versions beyond 5.3.0 are automatically safe. If your deployment is cloud-hosted via IBM Cloud, check for automatic patching policies. For on-premises deployments, schedule patching during a maintenance window to minimize disruption, and test in a staging environment first.

Detection guidance

Monitor HTTP access logs for watsonx.data intelligence for patterns consistent with resource exhaustion: unusually high request rates from a single authenticated user, requests with abnormal payload sizes or parameter combinations, or temporal clustering of requests that correlate with performance degradation events. Implement alerting on authentication failures followed by successful logins, which may indicate credential compromise preceding exploitation. Enable detailed audit logging in watsonx.data to capture authenticated session activity and correlate with system resource metrics (CPU, memory, thread pools).

Why prioritize this

Although the CVSS score of 4.3 places this in the MEDIUM range, prioritization depends on your risk posture. If watsonx.data intelligence is mission-critical for analytics or machine-learning operations, or if your authentication hygiene is weak (shared service accounts, infrequent credential rotation), treat this as a higher-priority fix. If the service is non-critical or air-gapped, lower priority is justified. The absence of KEV status indicates this is not actively exploited in the wild at publication, reducing urgency compared to actively-weaponized flaws.

Risk score, explained

The CVSS 3.1 score of 4.3 (MEDIUM severity) reflects: network-accessible attack vector, low attack complexity (straightforward HTTP request crafting), and requirement for low-privilege authentication. The impact is confined to availability (temporary denial)—no confidentiality or integrity loss is possible. The score appropriately conveys moderate but real operational risk, particularly in environments where service availability directly affects business processes. Context-specific factors (asset criticality, authentication controls, insider threat profile) should inform your internal risk rating.

Frequently asked questions