CVE-2026-76640 (GCVE-0-2026-76640)
Vulnerability from cvelistv5 – Published: 2026-08-27 17:52 – Updated: 2026-08-27 17:52
VLAI
EPSS
VEX
Title
Unitree G1 EDU 1.5.2 BLE GATT RCE via WiFi Provisioning Stack
Summary
Unitree G1 EDU firmware through 1.5.2 contains multiple chained vulnerabilities in the BLE GATT server and WiFi provisioning stack that allow unauthenticated proximate attackers to achieve root code execution without pairing or credentials by exploiting an unquoted heredoc variable in the WiFi provisioning script and a buffer overflow in the SSID chunk accumulator. Attackers can send crafted BLE writes to overflow a fixed BSS buffer across BLE connections, corrupting an adjacent mainloop function pointer dispatch entry that is subsequently invoked by the cleanup path passing attacker-controlled data to system() as uid 0.
Severity
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://boschko.ca/g1-ble-rce/ | technical-descriptionexploit |
| https://github.com/OlivierLaflamme/UniBLEed | exploit |
| https://www.vulncheck.com/advisories/unitree-g1-e… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Unitree Robotics | G1 EDU |
Affected:
0 , ≤ 1.5.2
(semver)
|
guessed |
Date Public
2026-08-27 00:00
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}
],
"metrics": [
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"Recovery": "NOT_DEFINED",
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"description": "Out-of-bounds Write",
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"description": "Missing Authentication for Critical Function",
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"providerMetadata": {
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}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Unitree G1 EDU 1.5.2 BLE GATT RCE via WiFi Provisioning Stack",
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"datePublished": "2026-08-27T17:52:11.749Z",
"dateReserved": "2026-08-19T14:53:58.575Z",
"dateUpdated": "2026-08-27T17:52:11.749Z",
"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
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"date": "2026-08-28",
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"percentile": "0.27316"
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}
}
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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.
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.
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