CVE-2026-13016 (GCVE-0-2026-13016)
Vulnerability from cvelistv5 – Published: 2026-09-24 18:48 – Updated: 2026-09-25 12:30
VLAI
EPSS
VEX
Title
Unauthenticated SQL Injection in ServiceNow AI Platform
Summary
ServiceNow has remediated a SQL injection vulnerability that was identified in the ServiceNow AI Platform. This vulnerability could enable an unauthenticated user, in certain circumstances, to execute arbitrary SQL statements against the instance's underlying database and gain access to, or modify, instance data beyond what was intended.
ServiceNow deployed a security update to hosted instances and ServiceNow provided the update to our partners and self-hosted customers. We are not currently aware of malicious exploitation against ServiceNow instances. We recommend customers promptly apply appropriate updates or upgrade to a patched release if they have not already done so.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-24 19:13 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ServiceNow | ServiceNow AI Platform |
Affected:
0 , < Yokohama Patch 13 Hot Fix 5a
(custom)
Affected: 0 , < Zurich Patch 10 Hot Fix 3b (custom) Affected: 0 , < Zurich Patch 10 Hot Fix 4a W32 (custom) Affected: 0 , < Zurich Patch 11 Hot Fix 3 (custom) Affected: 0 , < Australia Patch 2 Hot Fix 4b W32 (custom) Affected: 0 , < Australia Patch 4 Hot Fix 3 (custom) Affected: 0 , < Australia Patch 5 (custom) |
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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