CVE-2025-35027 (GCVE-0-2025-35027)
Vulnerability from cvelistv5 – Published: 2025-09-26 06:53 – Updated: 2025-10-07 21:10
VLAI
EPSS
VEX
Title
Unitree Multiple Robotic Products Command Injection
Summary
Multiple robotic products by Unitree sharing a common firmware, including the Go2, G1, H1, and B2 devices, contain a command injection vulnerability. By setting a malicious string when configuring the on-board WiFi via a BLE module of an affected robot, then triggering a restart of the WiFi service, an attacker can ultimately trigger commands to be run as root via the wpa_supplicant_restart.sh shell script. All Unitree models use firmware derived from the same codebase (MIT Cheetah), and the two major forks are the G1 (humanoid) and Go2 (quadruped) branches.
Severity
7.3 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-30 18:04 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://takeonme.org/cves/cve-2025-35027 | third-party-advisory |
| https://github.com/Bin4ry/UniPwn | technical-description |
| https://spectrum.ieee.org/unitree-robot-exploit | media-coverage |
| https://x.com/committeeonccp/status/1971250635548033311 | government-resource |
| https://www.cve.org/cverecord?id=CVE-2025-60017 | related |
| https://www.cve.org/cverecord?id=CVE-2025-60250 | related |
Impacted products
Date Public
2025-09-26 06:41
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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.
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- 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
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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.