FKIE_CVE-2022-41636
Vulnerability from fkie_nvd - Published: 2022-10-28 18:15 - Updated: 2026-06-17 05:03
Severity
9.1 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/
Summary
Communication traffic involving "Ethernet Q Commands" service of Haas Controller version 100.20.000.1110 is transmitted in cleartext. This allows an attacker to obtain sensitive information being passed to and from the controller.
References
| URL | Tags | ||
|---|---|---|---|
| ics-cert@hq.dhs.gov | https://www.cisa.gov/uscert/ics/advisories/icsa-22-298-01 | Mitigation, Third Party Advisory, US Government Resource | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.cisa.gov/uscert/ics/advisories/icsa-22-298-01 | Mitigation, Third Party Advisory, US Government Resource |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| haascnc | haas_controller | 100.20.000.1110 |
{
"affected": [
{
"affectedData": [
{
"product": "Haas CNC Controller",
"vendor": "Haas",
"versions": [
{
"status": "affected",
"version": "Version 100.20.000.1110"
}
]
}
],
"source": "ics-cert@hq.dhs.gov"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:haascnc:haas_controller:100.20.000.1110:*:*:*:*:*:*:*",
"matchCriteriaId": "015F1986-2209-494F-8273-0F53B0544A71",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Communication traffic involving \"Ethernet Q Commands\" service of Haas Controller version 100.20.000.1110 is transmitted in cleartext. This allows an attacker to obtain sensitive information being passed to and from the controller."
},
{
"lang": "es",
"value": "El tr\u00e1fico de comunicaci\u00f3n que involucra el servicio \"\"Ethernet Q Commands\"\" del servicio Haas Controller versi\u00f3n 100.20.000.1110 se transmite en texto sin cifrar. Esto permite a un atacante obtener informaci\u00f3n sensible que se pasa hacia y desde el controlador."
}
],
"id": "CVE-2022-41636",
"lastModified": "2026-06-17T05:03:32.750",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 9.1,
"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:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2,
"source": "ics-cert@hq.dhs.gov",
"type": "Secondary"
},
{
"cvssData": {
"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,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2022-41636",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-16T15:53:04.555092Z",
"version": "2.0.3"
}
}
]
},
"published": "2022-10-28T18:15:12.447",
"references": [
{
"source": "ics-cert@hq.dhs.gov",
"tags": [
"Mitigation",
"Third Party Advisory",
"US Government Resource"
],
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-298-01"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mitigation",
"Third Party Advisory",
"US Government Resource"
],
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-298-01"
}
],
"sourceIdentifier": "ics-cert@hq.dhs.gov",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-319"
}
],
"source": "ics-cert@hq.dhs.gov",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-319"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Loading…
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.