FKIE_CVE-2022-2634
Vulnerability from fkie_nvd - Published: 2022-08-10 20:15 - Updated: 2026-06-17 04:42
Severity
10.0 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/
Summary
An attacker may be able to execute malicious actions due to the lack of device access protections and device permissions when using the web application. This could lead to uploading python files which can be later executed.
References
| URL | Tags | ||
|---|---|---|---|
| ics-cert@hq.dhs.gov | https://www.cisa.gov/uscert/ics/advisories/icsa-22-216-01 | Third Party Advisory, US Government Resource | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.cisa.gov/uscert/ics/advisories/icsa-22-216-01 | Third Party Advisory, US Government Resource |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| digi | connectport_x2d_firmware | * | |
| digi | connectport_x2d | - |
{
"affected": [
{
"affectedData": [
{
"product": "ConnectPort X2D",
"vendor": "Digi",
"versions": [
{
"status": "affected",
"version": "All manufactured prior to 01/2020"
}
]
}
],
"source": "ics-cert@hq.dhs.gov"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:digi:connectport_x2d_firmware:*:*:*:*:*:*:*:*",
"matchCriteriaId": "95C24E8F-B481-488B-AD36-C0D3965681A5",
"versionEndExcluding": "2020-01-01",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
},
{
"cpeMatch": [
{
"criteria": "cpe:2.3:h:digi:connectport_x2d:-:*:*:*:*:*:*:*",
"matchCriteriaId": "47289275-83A0-4501-8F11-491CA7D16AD8",
"vulnerable": false
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An attacker may be able to execute malicious actions due to the lack of device access protections and device permissions when using the web application. This could lead to uploading python files which can be later executed."
},
{
"lang": "es",
"value": "Un atacante puede ser capaz de ejecutar acciones maliciosas debido a una falta de protecciones de acceso al dispositivo y permisos del dispositivo cuando es usada la aplicaci\u00f3n web. Esto podr\u00eda conllevar a una carga de archivos python que pueden ser ejecutados posteriormente"
}
],
"id": "CVE-2022-2634",
"lastModified": "2026-06-17T04:42:15.153",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 10.0,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 6.0,
"source": "ics-cert@hq.dhs.gov",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2022-2634",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-16T15:53:46.897152Z",
"version": "2.0.3"
}
}
]
},
"published": "2022-08-10T20:15:36.597",
"references": [
{
"source": "ics-cert@hq.dhs.gov",
"tags": [
"Third Party Advisory",
"US Government Resource"
],
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-216-01"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"US Government Resource"
],
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-216-01"
}
],
"sourceIdentifier": "ics-cert@hq.dhs.gov",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-250"
}
],
"source": "ics-cert@hq.dhs.gov",
"type": "Secondary"
}
]
}
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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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