CVE-2022-45423 (GCVE-0-2022-45423)
Vulnerability from cvelistv5 – Published: 2022-12-27 00:00 – Updated: 2025-04-14 13:00
VLAI
EPSS
VEX
Summary
Some Dahua software products have a vulnerability of unauthenticated request of MQTT credentials. An attacker can obtain encrypted MQTT credentials by sending a specific crafted packet to the vulnerable interface (the credentials cannot be directly exploited).
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-14 12:59 UTC
CWE
- Missing Authorization
- CWE-306 - Missing Authentication for Critical Function
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | DSS Professional, DSS Express, DHI-DSS7016D-S2/DHI-DSS7016DR-S2, DHI-DSS4004-S2 |
Affected:
V8.0.2, V8.0.4, V8.1
|
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"value": "Algunos productos de software de Dahua tienen una vulnerabilidad de solicitud no autenticada de credenciales MQTT. Un atacante puede obtener credenciales MQTT cifradas enviando un paquete manipulado espec\u00edficamente a la interfaz vulnerable (las credenciales no pueden explotarse directamente)."
}
],
"id": "CVE-2022-45423",
"lastModified": "2026-06-17T05:10:05.170",
"metrics": {
"cvssMetricV31": [
{
"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"
},
{
"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": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2022-45423",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-14T12:59:47.911295Z",
"version": "2.0.3"
}
}
]
},
"published": "2022-12-27T18:15:10.390",
"references": [
{
"source": "cybersecurity@dahuatech.com",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://www.dahuasecurity.com/support/cybersecurity/details/1137"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://www.dahuasecurity.com/support/cybersecurity/details/1137"
}
],
"sourceIdentifier": "cybersecurity@dahuatech.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-306"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-306"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2025-05-29T02:28:42+00:00",
"cve": "CVE-2022-45423",
"id": "CVE-2022-45423",
"initial_release_date": "2022-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2022-45423",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-45423.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T14:09:57.037Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_transferred"
],
"url": "https://www.dahuasecurity.com/support/cybersecurity/details/1137"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"cvssV3_1": {
"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"
}
},
{
"other": {
"content": {
"id": "CVE-2022-45423",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-14T12:59:47.911295Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-306",
"description": "CWE-306 Missing Authentication for Critical Function",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-04-14T13:00:18.346Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "DSS Professional, DSS Express, DHI-DSS7016D-S2/DHI-DSS7016DR-S2, DHI-DSS4004-S2",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "V8.0.2, V8.0.4, V8.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Some Dahua software products have a vulnerability of unauthenticated request of MQTT credentials. An attacker can obtain encrypted MQTT credentials by sending a specific crafted packet to the vulnerable interface (the credentials cannot be directly exploited)."
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "Missing Authorization",
"lang": "en",
"type": "text"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-12-27T00:00:00.000Z",
"orgId": "79ee569e-7d1e-4364-98f0-3a18e2a739ad",
"shortName": "dahua"
},
"references": [
{
"url": "https://www.dahuasecurity.com/support/cybersecurity/details/1137"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "79ee569e-7d1e-4364-98f0-3a18e2a739ad",
"assignerShortName": "dahua",
"cveId": "CVE-2022-45423",
"datePublished": "2022-12-27T00:00:00.000Z",
"dateReserved": "2022-11-14T00:00:00.000Z",
"dateUpdated": "2025-04-14T13:00:23.939Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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