FKIE_CVE-2022-30260
Vulnerability from fkie_nvd - Published: 2022-12-26 06:15 - Updated: 2026-06-17 04:43
Severity
Summary
Emerson DeltaV Distributed Control System (DCS) has insufficient verification of firmware integrity (an inadequate checksum approach, and no signature). This affects versions before 14.3 of DeltaV M-series, DeltaV S-series, DeltaV P-series, DeltaV SIS, and DeltaV CIOC/EIOC/WIOC IO cards.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://www.cisa.gov/uscert/ics/advisories/icsa-22-181-03 | Third Party Advisory, US Government Resource | |
| cve@mitre.org | https://www.forescout.com/blog/ | Not Applicable, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.cisa.gov/uscert/ics/advisories/icsa-22-181-03 | Third Party Advisory, US Government Resource | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.forescout.com/blog/ | Not Applicable, Third Party Advisory |
Impacted products
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"lang": "en",
"value": "Emerson DeltaV Distributed Control System (DCS) has insufficient verification of firmware integrity (an inadequate checksum approach, and no signature). This affects versions before 14.3 of DeltaV M-series, DeltaV S-series, DeltaV P-series, DeltaV SIS, and DeltaV CIOC/EIOC/WIOC IO cards."
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"value": "Emerson DeltaV Distributed Control System (DCS) tiene una verificaci\u00f3n insuficiente de la integridad del firmware (un m\u00e9todo de suma de verificaci\u00f3n inadecuado y sin firma). Esto afecta a las versiones anteriores a la 14.3 de las tarjetas DeltaV serie M, DeltaV serie S, DeltaV serie P, DeltaV SIS y DeltaV CIOC/EIOC/WIOC IO."
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"id": "CVE-2022-30260",
"lastModified": "2026-06-17T04:43:21.147",
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"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-12-26T06:15:10.947",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory",
"US Government Resource"
],
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-181-03"
},
{
"source": "cve@mitre.org",
"tags": [
"Not Applicable",
"Third Party Advisory"
],
"url": "https://www.forescout.com/blog/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"US Government Resource"
],
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-181-03"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Not Applicable",
"Third Party Advisory"
],
"url": "https://www.forescout.com/blog/"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-345"
}
],
"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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