Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain valid IBM MQ Console session
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DeliverySubmit concurrent oversized LLM agent requests
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ExploitHold all agent workers captive
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ExecutionExhaust worker pool
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ImpactDeny AI Agent feature to all other users
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A06:2025 - Insecure Design
ASVS 5.0
V2 - Validation and Business Logic Resource consumption limits
MITRE ATT&CK
1 technique across 1 tactic: Impact The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Exploitation requires a valid authenticated IBM MQ Console session cookie, placing this squarely in the authenticated insider or compromised-credential threat model. The attack targets the AI Agent feature specifically; only users with access to submit LLM agent requests can trigger the condition. No additional privilege escalation, special configuration, or non-default deployment mode is required beyond basic console authentication. Limiting factors: the attack does not affect core IBM MQ message-broker functionality, only the AI Agent feature; impact is bounded to availability of that specific feature; and the requirement for authenticated access prevents exploitation by unauthenticated external attackers. |
| Impact | The CVSS 6.5 score with vector AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H correctly reflects the moderate-to-high risk profile for availability. The authentication requirement (PR:L) is the primary mitigation - exploitation is limited to users who already hold valid IBM MQ Console session cookies, meaning this is an insider or compromised-credential threat. Attack complexity is low once access is obtained; no special configuration or race condition is needed. Impact is purely availability-focused (A:H): the AI Agent feature becomes fully unavailable to other users, though core IBM MQ messaging functionality is presumably unaffected. EPSS data is not provided, and the vulnerability is not listed in CISA KEV, indicating no confirmed active exploitation. No POC is publicly available. Real-world priority is moderate: organizations where the AI Agent feature is business-critical should patch promptly; those treating it as supplemental tooling face lower urgency. The main concern is a disgruntled insider or a compromised low-privileged account being used to deny service. |
| Exploit ScenarioDerived | An authenticated IBM MQ Console user - such as a disgruntled employee or an attacker who has compromised a low-privileged account - submits a series of concurrently crafted, maximally complex LLM agent requests. Within seconds, all available agent workers are occupied processing these expensive requests, some for over ten minutes each. All other MQ Console users attempting to use the AI Agent feature receive errors or timeouts for the duration of the attack. |
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Alert meAnalysisAIv1 – Sep 04, 2026
Resource exhaustion in IBM MQ Agent CD (v1.0.0-v2.0.1) allows any authenticated console user to monopolize the LLM agent worker pool by submitting arbitrarily large or computationally expensive requests. When multiple such requests are issued concurrently, all available agent workers remain occupied for extended periods - from tens of seconds to over ten minutes each - causing complete unavailability of the AI Agent feature for all other IBM MQ Console users. No public exploit code has been identified at time of analysis, and exploitation requires a valid authenticated session.
RemediationAI
IBM has released a patch and the vendor advisory at https://www.ibm.com/support/pages/node/7285394 should be consulted for the specific fixed version and upgrade instructions; the exact patched version number is not stated in the available data beyond 'patch available from vendor.' As a compensating control prior to patching, administrators should restrict IBM MQ Console access to only the minimum necessary users and enforce strong session management to limit the pool of potential abusers. Network-level rate limiting on the MQ Console API endpoint can reduce the number of concurrent LLM requests per user. Monitoring agent worker queue depth and setting alerts on sustained high utilization can help detect abuse early. These controls do not eliminate the vulnerability but reduce exploitation window and blast radius.
Affected VersionsENISA
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Technical ContextAI · show details
IBM MQ Agent CD is the AI-powered agent layer integrated into the IBM MQ Console, built on LLM agent workers that process user-submitted natural-language or structured requests. The affected CPE is cpe:2.3:a:ibm:mq_agent:*:*:*:*:*:*:*:*, spanning versions 1.0.0, 1.0.1, 2.0.0, and 2.0.1. CWE-400 (Uncontrolled Resource Consumption) applies because the agent worker pool lacks effective per-user request size limits, complexity caps, or concurrency throttling. LLM inference is inherently compute-intensive, so a malicious authenticated user can craft requests designed to maximize token generation or processing time, holding worker threads captive and starving legitimate requests of processing capacity.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Authenticated network access required (PR:L, AV:N); no complexity; availability-only impact fully consistent with resource exhaustion description.
Primary rating from Vendor (ibm).
CVSS VectorVendor: ibm
DescriptionCVE.org
IBM MQ Agent CD: v1.0.0, v1.0.1, v2.0.0, v2.0.1 An authenticated user with a valid session cookie can submit arbitrarily large or computationallyexpensive requests that cause the LLM agent workers to be held for extended periods - rangingfrom tens of seconds to over ten minutes per request. When multiple such requests are sentconcurrently, the agent worker pool becomes exhausted, causing all other IBM MQ Console users toexperience degraded performance or complete unavailability of the AI Agent feature.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.
EUVD-2026-71259
GHSA-x7m8-9qr5-36gh
NVD
CVE.org
EPSS
Exploit-DB