CVE-2017-7914 (GCVE-0-2017-7914)
Vulnerability from cvelistv5 – Published: 2017-06-14 21:00 – Updated: 2024-08-05 16:19
VLAI
EPSS
VEX
Summary
A Missing Authorization issue was discovered in Rockwell Automation PanelView Plus 6 700-1500 6.00.04, 6.00.05, 6.00.42, 6.00-20140306, 6.10.20121012, 6.10-20140122, 7.00-20121012, 7.00-20130108, 7.00-20130325, 7.00-20130619, 7.00-20140128, 7.00-20140310, 7.00-20140429, 7.00-20140621, 7.00-20140729, 7.00-20141022, 8.00-20140730, and 8.00-20141023. There is no authorization check when connecting to the device, allowing an attacker remote access.
Severity
8.6 (High)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://ics-cert.us-cert.gov/advisories/ICSA-17-157-01 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | Rockwell Automation PanelView Plus 6 700-1500 |
Affected:
Rockwell Automation PanelView Plus 6 700-1500
|
Date Public
2017-06-14 00:00
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"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 4.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-06-14T21:29:00.270",
"references": [
{
"source": "ics-cert@hq.dhs.gov",
"tags": [
"Third Party Advisory",
"US Government Resource"
],
"url": "https://ics-cert.us-cert.gov/advisories/ICSA-17-157-01"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"US Government Resource"
],
"url": "https://ics-cert.us-cert.gov/advisories/ICSA-17-157-01"
}
],
"sourceIdentifier": "ics-cert@hq.dhs.gov",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-882"
}
],
"source": "ics-cert@hq.dhs.gov",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"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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