Vulnerability-Lookup

GHSA-75MR-VW8W-4MX8

Vulnerability from github – Published: 2026-08-27 21:31 – Updated: 2026-08-28 21:31

Details

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

10.0 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

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{
  "affected": [],
  "aliases": [
    "CVE-2026-74820"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-27T20:18:36Z",
    "severity": "CRITICAL"
  },
  "details": "ServiceNow has remediated a SQL injection vulnerability that was identified in in the ServiceNow AI platform. This vulnerability could enable an unauthenticated user, in certain circumstances, to execute arbitrary SQL statements against the instance\u0027s underlying database and gain access to, or modify, instance data beyond what was intended.\u00a0\n\n\n\n\n\nServiceNow 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.\u00a0\n\n\n\nWe recommend customers promptly apply appropriate updates or upgrade to a patched release if they have not already done so.",
  "id": "GHSA-75mr-vw8w-4mx8",
  "modified": "2026-08-28T21:31:07Z",
  "published": "2026-08-27T21:31:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74820"
    },
    {
      "type": "WEB",
      "url": "https://support.servicenow.com/kb?id=kb_article_view\u0026sysparm_article=KB3152242"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2026-74820 (GCVE-0-2026-74820)

Vulnerability from cvelistv5 – Published: 2026-08-27 19:05 – Updated: 2026-08-29 03:56

Title

Unauthenticated SQL Injection via Dynamic Schema ORDER BY Clause

Summary

ServiceNow has remediated a SQL injection vulnerability that was identified in 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

10 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-08-28 00:00 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

SN mitre root

References

1 reference

URL	Tags
https://support.servicenow.com/kb?id=kb_article_v…

Impacted products

1 product

Vendor	Product	Version
ServiceNow	ServiceNow AI Platform	Affected: 0 , < Xanadu Patch 11 Hot Fix 7a (custom) Affected: 0 , < Yokohama Patch 12 Hot Fix 3b (custom) Affected: 0 , < Yokohama Patch 13 Hot Fix 4 (custom) Affected: 0 , < Zurich Patch 7b Hot Fix 3 (custom) Affected: 0 , < Zurich Patch 8 Hot Fix 5 (custom) Affected: 0 , < Zurich Patch 9 Hot Fix 6 (custom) Affected: 0 , < Zurich Patch 10 Hot Fix 2m (m-branch) (custom) Affected: 0 , < Zurich Patch 10 Hot Fix 3 (standard) (custom) Affected: 0 , < Zurich Patch 11 (custom) Affected: 0 , < Zurich Patch 12 (custom) Affected: 0 , < Australia Patch 2 Hot Fix 3 (custom) Affected: 0 , < Australia Patch 3 Hot Fix 2 (custom) Affected: 0 , < Australia Patch 3m (custom) Affected: 0 , < Australia Patch 4 (custom) Affected: 0 , < Australia Patch 5 (custom)

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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.

Detection rules are retrieved from Rulezet.

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.

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.