CVE-2025-2894 (GCVE-0-2025-2894)

Vulnerability from cvelistv5 – Published: 2025-03-28 02:51 – Updated: 2025-04-03 14:37
VLAI
Title
Unitree Go1 Robot Dog Backdoor Control Channel
Summary
The Go1 also known as "The World's First Intelligence Bionic Quadruped Robot Companion of Consumer Level," contains an undocumented backdoor that can enable the manufacturer, and anyone in possession of the correct API key, complete remote control over the affected robotic device using the CloudSail remote access service.
Severity
6.6 (Medium)
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-28 15:40 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version
Unitree Go1 Affected: 2022_05_11_e0d0e617
Create a notification for this product.
Date Public
2025-03-28 00:53
Credits
Andreas Makris Kevin Finisterre todb
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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.