CVE-2020-7847 (GCVE-0-2020-7847)
Vulnerability from cvelistv5 – Published: 2021-02-23 15:39 – Updated: 2024-08-04 09:41
VLAI
EPSS
VEX
Summary
The ipTIME NAS product allows an arbitrary file upload vulnerability in the Manage Bulletins/Upload feature, which can be leveraged to gain remote code execution. This issue affects: pTIME NAS 1.4.36.
Severity
7.4 (High)
CWE
- CWE-434 - Unrestricted Upload of File with Dangerous Type
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.boho.or.kr/krcert/secNoticeView.do?bu… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| EFM Networks | ipTIME NAS |
Affected:
1.4.36
|
guessed |
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"versionEndExcluding": "1.4.36",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
},
{
"cpeMatch": [
{
"criteria": "cpe:2.3:h:iptime:nas4dual:-:*:*:*:*:*:*:*",
"matchCriteriaId": "0429CC1A-B95C-4FB0-90D6-D6CAD8E1CC14",
"vulnerable": false
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The ipTIME NAS product allows an arbitrary file upload vulnerability in the Manage Bulletins/Upload feature, which can be leveraged to gain remote code execution. This issue affects: pTIME NAS 1.4.36."
},
{
"lang": "es",
"value": "El producto ipTIME NAS, permite una vulnerabilidad de carga de archivos arbitraria en la funcionalidad Manage Bulletins/Upload, que puede ser aprovechada para conseguir una ejecuci\u00f3n de c\u00f3digo remota.\u0026#xa0;Este problema afecta a: ipTIME NAS versi\u00f3n 1.4.36"
}
],
"id": "CVE-2020-7847",
"lastModified": "2024-11-21T05:37:54.537",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "ADJACENT_NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.2,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:A/AC:L/Au:S/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 5.1,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.4,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.5,
"impactScore": 5.9,
"source": "vuln@krcert.or.kr",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.0,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.1,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2021-02-23T16:15:13.130",
"references": [
{
"source": "vuln@krcert.or.kr",
"tags": [
"Third Party Advisory"
],
"url": "https://www.boho.or.kr/krcert/secNoticeView.do?bulletin_writing_sequence=35921"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://www.boho.or.kr/krcert/secNoticeView.do?bulletin_writing_sequence=35921"
}
],
"sourceIdentifier": "vuln@krcert.or.kr",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-434"
}
],
"source": "vuln@krcert.or.kr",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-434"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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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