CVE-2023-6951 (GCVE-0-2023-6951)
Vulnerability from cvelistv5 – Published: 2024-04-02 10:28 – Updated: 2024-09-30 10:04
VLAI
EPSS
VEX
Summary
A Use of Weak Credentials vulnerability affecting the Wi-Fi network generated by a set of DJI drones could allow a remote attacker to derive the WPA2 PSK key and authenticate without permission to the drone’s Wi- Fi network. This, in turn, allows the attacker to perform unauthorized interaction with the network services exposed by the drone and to potentially decrypt the Wi-Fi traffic exchanged between the drone and the Android/IOS device of the legitimate user during QuickTransfer mode. Affected models are Mavic 3 Pro until v01.01.0300, Mavic 3 until v01.00.1200, Mavic 3 Classic until v01.00.0500, Mavic 3 Enterprise until v07.01.10.03, Matrice 300 until v57.00.01.00, Matrice M30 until v07.01.0022 and Mini 3 Pro until v01.00.0620.
Severity
6.6 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-02 18:42 UTC
CWE
- CWE-334 - Small Space of Random Values
Assigner
References
1 reference
Impacted products
7 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| DJI | Mavic 3 Pro |
Affected:
0 , < 01.01.0300
(custom)
|
guessed | |
| DJI | Mavic 3 |
Affected:
0 , < 01.00.1200
(custom)
|
guessed | |
| DJI | Mavic 3 Classic |
Affected:
0 , < 01.00.0500
(custom)
|
guessed | |
| DJI | Mavic 3 Enterprise |
Affected:
0 , < 7.01.10.03
(custom)
|
guessed | |
| DJI | Matrice 300 |
Affected:
0 , < 57.00.01.00
(custom)
|
guessed | |
| DJI | Matrice M30 |
Affected:
0 , < 07.01.0022
(custom)
|
guessed | |
| DJI | Mini 3 Pro |
Affected:
0 , < 01.00.0620
(custom)
|
guessed |
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"descriptions": [
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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.
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.
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