PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-78673 IBM CVE debrief

IBM Maximo AI Service 9.1.0 and 9.2.0 are vulnerable to a denial of service due to improper input validation. This high-severity vulnerability requires immediate attention from defenders managing these instances. They should assess exposure, prioritize remediation, and verify vulnerability status to mitigate potential operational impacts. The vulnerability's details are based on the CVE record and source item, which provide essential information for understanding the issue. Defenders should review the official advisory and CVE record to validate affected scope, severity, and vendor guidance.

Vendor
IBM
Product
Maximo AI Service
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-12
Original CVE updated
2026-10-12
Advisory published
2026-10-12
Advisory updated
2026-10-12

Who should care

Defenders managing IBM Maximo AI Service 9.1.0 and 9.2.0 instances should assess exposure and prioritize remediation to mitigate potential operational impacts. This includes reviewing the official advisory and CVE record to validate affected scope, severity, and vendor guidance. Additionally, defenders should verify the vulnerability status of their instances and plan for vendor-supported updates or mitigations where

Why it matters

CVE-2026-78673 is a high-severity vulnerability in IBM Maximo AI Service 9.1.0 and 9.2.0 that could allow a remote attacker to cause a denial of service due to improper input validation. Defenders managing these instances should assess exposure, prioritize remediation, and verify vulnerability status.

  • Denial of service vulnerability requires verification and remediation
  • Exposure assessment is necessary for IBM Maximo AI Service 9.1.0 and 9.2.0 instances
  • Remediation priority is high due to potential operational impact

Technical summary

IBM Maximo AI Service 9.1.0 and 9.2.0 are vulnerable to a denial of service due to improper input validation. This vulnerability allows a remote attacker to cause a denial of service, highlighting the need for defenders to assess exposure and prioritize remediation. The technical details of the vulnerability are grounded in the CVE record and source item, providing a solid foundation for understanding the issue.

Defensive priority

Remediation is recommended for IBM Maximo AI Service 9.1.0 and 9.2.0 users.

Recommended defensive actions

  • Assess exposure of IBM Maximo AI Service 9.1.0 and 9.2.0 instances
  • Prioritize remediation based on operational impact
  • Verify vulnerability status and apply patches

Evidence notes

The CVE record and source item provide details on the vulnerability. IBM has released a vendor advisory with patch information. The vulnerability affects IBM Maximo AI Service 9.1.0 and 9.2.0, and defenders should verify the vulnerability status of their instances. The official CVE Program record and NIST NVD vulnerability detail offer additional context for understanding the issue. Defenders should consult these sources for further information on the vulnerability and its mitigation.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-78673 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-78673

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-78673 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-78673

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

  • Maximo AI Service Improper Input Validation

    Unverified legacy reference

    URL: https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/78xxx/CVE-2026-78673.json

    cve_program_cvelist_v5

  • Source reference

    Unverified legacy reference

    URL: https://www.ibm.com/support/pages/node/7290473

    Supplemental source - vendor-advisory, patch

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.