GSD-2022-27480
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A vulnerability has been identified in SICAM A8000 CP-8031 (All versions < V4.80), SICAM A8000 CP-8050 (All versions < V4.80). Affected devices do not require an user to be authenticated to access certain files. This could allow unauthenticated attackers to download these files.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-27480",
"description": "A vulnerability has been identified in SICAM A8000 CP-8031 (All versions \u003c V4.80), SICAM A8000 CP-8050 (All versions \u003c V4.80). Affected devices do not require an user to be authenticated to access certain files. This could allow unauthenticated attackers to download these files.",
"id": "GSD-2022-27480",
"references": [
"https://packetstormsecurity.com/files/cve/CVE-2022-27480"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-27480"
],
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"id": "GSD-2022-27480",
"modified": "2023-12-13T01:19:41.524353Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2022-27480",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
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{
"product": {
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{
"product_name": "SICAM A8000 CP-8031",
"version": {
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}
]
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},
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}
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}
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"description": [
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"value": "CWE-862: Missing Authorization"
}
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},
"references": {
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{
"name": "https://cert-portal.siemens.com/productcert/pdf/ssa-316850.pdf",
"refsource": "MISC",
"url": "https://cert-portal.siemens.com/productcert/pdf/ssa-316850.pdf"
},
{
"name": "20220414 SEC Consult SA-20220413 :: Missing Authentication at File Download \u0026 Denial of Service in Siemens A8000 PLC",
"refsource": "FULLDISC",
"url": "http://seclists.org/fulldisclosure/2022/Apr/20"
},
{
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"url": "http://packetstormsecurity.com/files/166743/Siemens-A8000-CP-8050-CP-8031-SICAM-WEB-Missing-File-Download-Missing-Authentication.html"
}
]
}
},
"nvd.nist.gov": {
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"cpe_name": [],
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"cpe_match": [],
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"description": {
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"problemtype": {
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"references": {
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"tags": [
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},
{
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-07-18T13:54Z",
"publishedDate": "2022-04-12T09:15Z"
}
}
}
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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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