Vulnerability-Lookup

FKIE_CVE-2018-20007

Vulnerability from fkie_nvd - Published: 2019-05-16 19:29 - Updated: 2026-06-17 01:52

Severity

6.8 (Medium) - CVSS:3.0/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Summary

Yeelight Smart AI Speaker 3.3.10_0074 devices have improper access control over the UART interface, allowing physical attackers to obtain a root shell. The attacker can then exfiltrate the audio data, read cleartext Wi-Fi credentials in a log file, or access other sensitive device and user information.

References

URL	Tags
cve@mitre.org	https://forum.yeelight.com/	Vendor Advisory
cve@mitre.org	https://payatu.com/yeelight-smart-ai-speaker-responsible-disclosure/	Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	https://forum.yeelight.com/	Vendor Advisory
af854a3a-2127-422b-91ae-364da2661108	https://payatu.com/yeelight-smart-ai-speaker-responsible-disclosure/	Exploit, Third Party Advisory

Impacted products

	Vendor	Product	Version
	yeelight	smart_ai_speaker_firmware	3.3.10_0074
	yeelight	smart_ai_speaker	-

JSON

To clipboard

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  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
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      "source": "cve@mitre.org"
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  "configurations": [
    {
      "nodes": [
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          "cpeMatch": [
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              "criteria": "cpe:2.3:o:yeelight:smart_ai_speaker_firmware:3.3.10_0074:*:*:*:*:*:*:*",
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  "cveTags": [],
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    {
      "lang": "en",
      "value": "Yeelight Smart AI Speaker 3.3.10_0074 devices have improper access control over the UART interface, allowing physical attackers to obtain a root shell. The attacker can then exfiltrate the audio data, read cleartext Wi-Fi credentials in a log file, or access other sensitive device and user information."
    },
    {
      "lang": "es",
      "value": "Dispositivos Yeelight Smart AI Speaker 3.3.10_0074 tienen un control de acceso incorrecto a trav\u00e9s de la interfaz UART, lo que permite a los atacantes f\u00edsicos obtener un root shell. El atacante  entonces puede filtrar los datos de audio, leer credenciales de Wi-Fi en texto claro en un archivo de registro o acceder a otro dispositivo sensible e informaci\u00f3n del usuario."
    }
  ],
  "id": "CVE-2018-20007",
  "lastModified": "2026-06-17T01:52:09.387",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "HIGH",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "LOCAL",
          "authentication": "NONE",
          "availabilityImpact": "COMPLETE",
          "baseScore": 7.2,
          "confidentialityImpact": "COMPLETE",
          "integrityImpact": "COMPLETE",
          "vectorString": "AV:L/AC:L/Au:N/C:C/I:C/A:C",
          "version": "2.0"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 10.0,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "PHYSICAL",
          "availabilityImpact": "HIGH",
          "baseScore": 6.8,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 0.9,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
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  },
  "published": "2019-05-16T19:29:00.270",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://forum.yeelight.com/"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://payatu.com/yeelight-smart-ai-speaker-responsible-disclosure/"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
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      ],
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    },
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      "tags": [
        "Exploit",
        "Third Party Advisory"
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      "url": "https://payatu.com/yeelight-smart-ai-speaker-responsible-disclosure/"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-732"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}

CVE-2018-20007 (GCVE-0-2018-20007)

Vulnerability from cvelistv5 – Published: 2019-05-16 18:08 – Updated: 2024-08-05 11:51

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://forum.yeelight.com/	x_refsource_MISC
https://payatu.com/yeelight-smart-ai-speaker-resp…	x_refsource_MISC

Date Public

2019-05-07 00:00

Show details on NVD website

JSON

To clipboard

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}

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.

Detection rules are retrieved from Rulezet.

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.

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.