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CVE-2025-30199 (GCVE-0-2025-30199)

Vulnerability from cvelistv5 – Published: 2025-09-05 17:45 – Updated: 2025-09-08 18:21
VLAI
Title
ECOVACS Vacuum and Base Station accept unsigned firmware
Summary
ECOVACS vacuum robot base stations do not validate firmware updates, so malicious over-the-air updates can be sent to base station via insecure connection between robot and base station.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · cisa-cg (v2.0.3)
Decision recorded 2025-09-08 18:09 UTC
CWE
  • CWE-494 - Download of Code Without Integrity Check
Date Public
2025-07-09 00:00
Show details on NVD website

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      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
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      "title": "ECOVACS Vacuum and Base Station accept unsigned firmware",
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                  "content": {
                    "id": "CVE-2025-30199",
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  }
}



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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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Detection rules are retrieved from Rulezet.

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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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