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IBM Maximo AI Service CVE-2026-90921

| EUVDEUVD-2026-97972 HIGH
Improper Handling of Length Parameter Inconsistency (CWE-130)
2026-10-12 ibm GHSA-97m5-vw58-m6hv
7.5
CVSS 3.1 · Vendor: ibm
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Reach exposed Maximo AI Service endpoint
  2. Delivery
    Send malformed frames
  3. Exploit
    Trigger improper frame handling
  4. Execution
    Terminate host process
  5. Impact
    Denial of service

Vulnerability Assessment

Weakness
CWE
ASVS 5.0
V15 - Secure Coding and Architecture Length parameter validation
Exploitation Conditions

Exploitation requires network reachability to an IBM Maximo AI Service 9.1.0 or 9.2.0 instance that accepts and processes frames from the attacker; the flaw is triggered by sending malformed frames that the service mishandles (CWE-130), terminating the host process. Per the CVSS vector (AV:N/AC:L/PR:N/UI:N) no authentication or user interaction is required and no special non-default configuration is indicated. The primary limiting factor is exposure: the service must be network-accessible to the attacker, so instances restricted to internal/trusted networks or behind access controls face materially lower realistic risk. Impact is limited to availability (C:N/I:N/A:H) - no data disclosure or modification results.

Impact

Risk is driven entirely by availability impact. The provided CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H, base 7.5) describes a remotely reachable, low-complexity, unauthenticated denial-of-service with no confidentiality or integrity impact - consistent with the description of malformed frames terminating the host process (CWE-130, improper handling of length parameter inconsistency). No EPSS score, KEV listing, or public POC was provided in the input, so there is no signal of active or probable exploitation; the 7.5 rating reflects potential service disruption rather than demonstrated real-world attack activity. Signals are internally consistent (network vector in CVSS matches 'remote attacker' in the description), so there is no contradiction to flag, but the absence of exploitation-probability data (EPSS) and exploit-availability data (POC) means prioritization should rest on exposure of the affected service rather than on evidence of imminent exploitation. This is a legitimate patch-worthy issue for operators of the affected Maximo AI Service instances, but in the absence of KEV/POC/EPSS it reads as a moderate, non-urgent DoS rather than a top-tier emergency.

Exploit ScenarioDerived

A remote, unauthenticated attacker with network reachability to an exposed IBM Maximo AI Service 9.1.0 or 9.2.0 endpoint sends specially crafted malformed frames to the service. Improper handling of these frames crashes and terminates the host process, taking the service offline until restarted. No public proof-of-concept exploit code was identified in the provided data.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
Patch available 0.3% exploitation probability (EPSS)

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AnalysisAIv1 – Oct 12, 2026

Denial of service in IBM Maximo AI Service 9.1.0 and 9.2.0 allows unauthenticated remote attackers to terminate the host process by sending malformed frames that the service does not handle correctly. The CVSS vector (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H, score 7.5) confirms that no credentials or user interaction are required, so the only practical gating factor is network reachability to the service endpoint; impact is confined to availability with no data disclosure or modification. No public exploit code has been identified at time of analysis, and the vendor has published a patch advisory.

RemediationAI

Patch available per vendor advisory: IBM has published a fix for this issue at https://www.ibm.com/support/pages/node/7290473, which should be consulted for the exact fixed build for Maximo AI Service 9.1.0 and 9.2.0, since no specific fix version string was provided in the available data. Until the upgrade can be scheduled, the most effective compensating control is exposure reduction: restrict network access to the service with firewall rules, security groups, or a reverse proxy so only known client subnets can reach the frame-handling endpoint - the trade-off is that legitimate clients outside those ranges lose access and any proxy or ACL change must be validated against normal integration traffic. Running the service under a process supervisor with automatic restart limits how long each crash takes the service down, but this does not prevent the crash and can mask the condition while allowing repeated resource-exhaustion cycles, so it should be treated as temporary only. Session or frame-level filtering at an upstream gateway can drop obviously malformed traffic, but without knowledge of the exact framing format this risks blocking valid requests and is not a substitute for the vendor fix. Because the CVSS vector shows PR:N and UI:N, access controls cannot be assumed to be a barrier to exploitation; segmentation must be network-based rather than credential-based.

Affected VersionsENISA

Maximo AI Service 9.2.0
Maximo AI Service 9.1.0

Affected Packages

euvd maximo_ai_service no fix

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

The root cause is CWE-130 (Improper Handling of Length Parameter Inconsistency): the service parses incoming frames and does not correctly reconcile declared length fields against the actual data received, so a malformed or truncated/oversized frame is processed in a way the parser does not anticipate. Such inconsistencies typically lead to out-of-bounds reads, buffer over-reads, failed bounds checks, or unhandled exceptions that escape error handling and abort the process rather than returning a graceful protocol error. The affected component is a frame-consuming network service within IBM Maximo AI Service, an AI/inference-adjacent offering in the Maximo asset-management ecosystem; the wildcard CPE cpe:2.3:a:ibm:maximo_ai_service:*:*:*:*:*:*:*:* indicates the vendor did not scope the CPE to specific point versions, while the advisory enumerates 9.1.0 and 9.2.0 as affected. Because the defect is in frame handling rather than in authentication or authorization logic, the availability impact is realized as a crash of the host process, which can be repeated by an attacker to sustain an outage once the service is restarted.

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Severity by source

Vendor (ibm) PRIMARY 7.5 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
vuln.today AI 7.5 HIGH

Remotely reachable, unauthenticated malformed-frame processing with low complexity gives AV:N/AC:L/PR:N/UI:N; impact is availability-only (process termination), so C:N/I:N/A:H.

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (ibm).

CVSS VectorVendor: ibm

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

DescriptionCVE.org

IBM Maximo AI Service 9.1.0, and 9.2.0 could allow a remote attacker to cause a denial of service due to improper handling of malformed frames, resulting in termination of the host process.

Executive ViewAI

Why It Matters

IBM Maximo AI Service versions 9.1.0 and 9.2.0 contain a high-severity denial-of-service flaw that lets an unauthenticated attacker over the network crash the service's host process by sending malformed frames. Because no credentials or user interaction are required, any environment where the AI Service endpoint is reachable from untrusted networks can suffer repeated outages, disrupting asset-management workflows that depend on it. Leadership should care because the exposure is operational availability rather than data theft, but the low skill barrier and potential for sustained disruption make timely patching a priority for the teams running Maximo.

Business Impact: High
Compensating Controls

Apply vendor patch.

Threat Intelligence Overview

EPSS Score
0.3%
Top 78% exploitable
Prevalence
Low
niche IBM enterprise AI add-on component, limited production footprint
Social Media
1
Sightings
Data Quality
5 sources
Confidence: Medium

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.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.3%
Patch available Yes
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision
Scheduled
Exploitation
None
System Exposure· derived
Open
Automatable
Yes
Human Impact
High
Technical Impact
Partial

Priority Score

38
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +38
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.

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