CVE-2023-1298 (GCVE-0-2023-1298)
Vulnerability from cvelistv5 – Published: 2023-07-06 17:13 – Updated: 2024-10-21 21:11
VLAI
EPSS
VEX
Summary
ServiceNow has released upgrades and patches that address a Reflected Cross-Site scripting (XSS) vulnerability that was identified in the ServiceNow Polaris Layout. This vulnerability would enable an authenticated user to inject arbitrary scripts.
Severity
4.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-21 21:06 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://support.servicenow.com/kb?id=kb_article_v… | vendor-advisory |
| https://www.linkedin.com/in/osamay/ |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ServiceNow | Now User Experience |
Affected:
0 , < San Diego Patch 10
(custom)
Affected: 0 , < Tokyo Patch 4b (custom) Affected: 0 , < Tokyo Patch 6 (custom) Affected: 0 , < Utah Patch 1 (custom) |
guessed |
Date Public
2023-07-06 17:15
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"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-79",
"description": "CWE-79 Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2023-07-07T17:13:15.119Z",
"orgId": "303448ea-6ef3-4077-ad29-5c9bf253c375",
"shortName": "SN"
},
"references": [
{
"tags": [
"vendor-advisory"
],
"url": "https://support.servicenow.com/kb?id=kb_article_view\u0026sysparm_article=KB1310230"
},
{
"url": "https://www.linkedin.com/in/osamay/"
}
],
"source": {
"discovery": "UNKNOWN"
},
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}
},
"cveMetadata": {
"assignerOrgId": "303448ea-6ef3-4077-ad29-5c9bf253c375",
"assignerShortName": "SN",
"cveId": "CVE-2023-1298",
"datePublished": "2023-07-06T17:13:27.552Z",
"dateReserved": "2023-03-09T19:33:01.065Z",
"dateUpdated": "2024-10-21T21:11:09.595Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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