GSD-2023-6217
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
In Progress MOVEit Transfer versions released before 2022.0.9 (14.0.9), 2022.1.10 (14.1.10), 2023.0.7 (15.0.7), a reflected cross-site scripting (XSS) vulnerability has been identified when MOVEit Gateway is used in conjunction with MOVEit Transfer.
An attacker could craft a malicious payload targeting the system which comprises a MOVEit Gateway and MOVEit Transfer deployment. If a MOVEit user interacts with the crafted payload, the attacker would be able to execute malicious JavaScript within the context of the victim’s browser.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-6217",
"id": "GSD-2023-6217"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "\nIn Progress MOVEit Transfer versions released before 2022.0.9 (14.0.9), 2022.1.10 (14.1.10), 2023.0.7 (15.0.7),\u00a0a reflected cross-site scripting (XSS) vulnerability has been identified when MOVEit Gateway is used in conjunction with MOVEit Transfer.\u00a0 \n\nAn attacker could craft a malicious payload targeting the system which comprises a MOVEit Gateway and MOVEit Transfer deployment. If a MOVEit user interacts with the crafted payload, the attacker would be able to execute malicious JavaScript within the context of the victim\u2019s browser.\n",
"id": "GSD-2023-6217",
"modified": "2023-12-13T01:20:32.634549Z",
"schema_version": "1.4.0"
}
},
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"product_name": "MOVEit Transfer",
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"version_value": "not down converted",
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}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.1,
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"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
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"lang": "eng",
"value": "CWE-79 Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)"
}
]
}
]
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"references": {
"reference_data": [
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"name": "https://www.progress.com/moveit",
"refsource": "MISC",
"url": "https://www.progress.com/moveit"
},
{
"name": "https://community.progress.com/s/article/MOVEit-Transfer-Service-Pack-November-2023",
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}
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"discovery": "UNKNOWN"
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"impact": {
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"attackVector": "NETWORK",
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"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
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},
"lastModifiedDate": "2023-12-05T16:55Z",
"publishedDate": "2023-11-29T17:15Z"
}
}
}
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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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