Vulnerability-Lookup

GHSA-GH7R-589J-33X7

Vulnerability from github – Published: 2026-08-21 15:32 – Updated: 2026-08-21 15:32

Details

An attacker within BLE range recovers the Wi-Fi SSID and PSK in cleartext, and can then join the drone's network
The same capture also exposes the session UUID identifier, which is the only thing the drone uses to tell a trusted client from an unknown one, so the attacker can replay it and skip the physical confirmation of new connected devices.
The credentials do not change between sessions unless the operator manually resets the Wi-Fi settings, so one capture stays valid indefinitely
The attack is fully passive, with nothing transmitted and no connection made, so neither the operator nor the drone has any indication the session was observed
A BLE sniffer and presence during one normal DJI Fly connection are needed

Affected models are DJI Neo until 01.00.0400, DJI Neo 2 until 01.00.0500, DJI Flip until 01.00.1200, DJI Air 3 until 01.00.1600, DJI Air 3S until 01.00.1400, DJI Avata 2 until 01.00.0400, DJI Avata 360 until 01.00.0300, DJI Mavic 3 until 01.00.1400, DJI Mavic 3 Classic until 01.00.0800, DJI Mavic 3 Pro until 01.01.0700, DJI Mavic 4 Pro until 01.00.0500, DJI Mini 2 until 01.07.0200, DJI Mini 3 until 01.00.0500, DJI Mini 3 Pro until 01.00.0900, DJI Mini 4 Pro until 01.00.1100, and DJI Mini 5 Pro until 01.00.0600.

Remediation requires a firmware update from the vendor. There is no user-side mitigation that fully addresses the vulnerability without upgrading.

Severity

9.4 (Critical)


                  
                    CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2026-77812"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-311"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-21T15:16:47Z",
    "severity": "CRITICAL"
  },
  "details": "DJI drones transmit DUML (DJI Universal Markup Language) protocol messages over BLE (Bluetooth Low Energy) without encryption. When a client attempts to connect to the drone over Wi-Fi, or when the drone is switched to QuickTransfer mode, the DJI Fly application exchanges DUML messages with the drone over BLE, including the Wi-Fi credentials. An attacker within BLE range can passively sniff this traffic and recover the credentials in cleartext, including the drone\u0027s Wi-Fi PSK, SSID, and trusted identifier UUID. Obtaining these credentials allows the attacker to join the drone\u0027s internal Wi-Fi network, interact with network services exposed by the drone, and decrypt Wi-Fi traffic exchanged between the drone and the legitimate user.\n\n* An attacker within BLE range recovers the Wi-Fi SSID and PSK in cleartext, and can then join the drone\u0027s network \n* The same capture also exposes the session UUID identifier, which is the only thing the drone uses to tell a trusted client from an unknown one, so the attacker can replay it and skip the physical confirmation of new connected devices.\n* The credentials do not change between sessions unless the operator manually resets the Wi-Fi settings, so one capture stays valid indefinitely\n* The attack is fully passive, with nothing transmitted and no connection made, so neither the operator nor the drone has any indication the session was observed\n* A BLE sniffer and presence during one normal DJI Fly connection are needed\n\nAffected models are DJI Neo until 01.00.0400, DJI Neo 2 until 01.00.0500, DJI Flip until 01.00.1200, DJI Air 3 until 01.00.1600, DJI Air 3S until 01.00.1400, DJI Avata 2 until 01.00.0400, DJI Avata 360 until 01.00.0300, DJI Mavic 3 until 01.00.1400, DJI Mavic 3 Classic until 01.00.0800, DJI Mavic 3 Pro until 01.01.0700, DJI Mavic 4 Pro until 01.00.0500, DJI Mini 2 until 01.07.0200, DJI Mini 3 until 01.00.0500, DJI Mini 3 Pro until 01.00.0900, DJI Mini 4 Pro until 01.00.1100, and DJI Mini 5 Pro until 01.00.0600.\n\nRemediation requires a firmware update from the vendor. There is no user-side mitigation that fully addresses the vulnerability without upgrading.",
  "id": "GHSA-gh7r-589j-33x7",
  "modified": "2026-08-21T15:32:13Z",
  "published": "2026-08-21T15:32:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-77812"
    },
    {
      "type": "WEB",
      "url": "https://support.dji.com/help/content?customId=en-us03400011149\u0026amp;spaceId=34\u0026amp;re=US\u0026amp;lang=en"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2026-77812 (GCVE-0-2026-77812)

Vulnerability from cvelistv5 – Published: 2026-08-21 14:06 – Updated: 2026-08-24 07:28

Title

Cleartext Exposure of DJI Drone Wi-Fi Credentials via BLE

Summary

DJI drones transmit DUML (DJI Universal Markup Language) protocol messages over BLE (Bluetooth Low Energy) without encryption. When a client attempts to connect to the drone over Wi-Fi, or when the drone is switched to QuickTransfer mode, the DJI Fly application exchanges DUML messages with the drone over BLE, including the Wi-Fi credentials. An attacker within BLE range can passively sniff this traffic and recover the credentials in cleartext, including the drone's Wi-Fi PSK, SSID, and trusted identifier UUID. Obtaining these credentials allows the attacker to join the drone's internal Wi-Fi network, interact with network services exposed by the drone, and decrypt Wi-Fi traffic exchanged between the drone and the legitimate user. * An attacker within BLE range recovers the Wi-Fi SSID and PSK in cleartext, and can then join the drone's network * The same capture also exposes the session UUID identifier, which is the only thing the drone uses to tell a trusted client from an unknown one, so the attacker can replay it and skip the physical confirmation of new connected devices. * The credentials do not change between sessions unless the operator manually resets the Wi-Fi settings, so one capture stays valid indefinitely * The attack is fully passive, with nothing transmitted and no connection made, so neither the operator nor the drone has any indication the session was observed * A BLE sniffer and presence during one normal DJI Fly connection are needed Affected models are DJI Neo until 01.00.0400, DJI Neo 2 until 01.00.0500, DJI Flip until 01.00.1200, DJI Air 3 until 01.00.1600, DJI Air 3S until 01.00.1400, DJI Avata 2 until 01.00.0400, DJI Avata 360 until 01.00.0300, DJI Mavic 3 until 01.00.1400, DJI Mavic 3 Classic until 01.00.0800, DJI Mavic 3 Pro until 01.01.0700, DJI Mavic 4 Pro until 01.00.0500, DJI Mini 2 until 01.07.0200, DJI Mini 3 until 01.00.0500, DJI Mini 3 Pro until 01.00.0900, DJI Mini 4 Pro until 01.00.1100, and DJI Mini 5 Pro until 01.00.0600. Remediation requires a firmware update from the vendor. There is no user-side mitigation that fully addresses the vulnerability without upgrading.

Severity

9.4 (Critical)


                        
                          CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-08-21 17:42 UTC

CWE

CWE-311 - Missing Encryption of Sensitive Data

Assigner

CIRCL ENISA root

References

1 reference

URL	Tags
https://support.dji.com/help/content?customId=en-…	technical-description

Impacted products

16 products

Vendor	Product	Version
DJI	Neo	Affected: 0 , ≤ 01.00.0400 (semver)
DJI	Neo 2	Affected: 0 , ≤ 01.00.0500 (semver)
DJI	DJI Flip	Affected: 0 , ≤ 01.00.1200 (semver)
DJI	Air 3	Affected: 0 , ≤ 01.00.1600 (semver)
DJI	Air 3S	Affected: 0 , ≤ 01.00.1400 (semver)
DJI	Avata 2	Affected: 0 , ≤ 01.00.0400 (semver)
DJI	Avata 360	Affected: 0 , ≤ 01.00.0300 (semver)
DJI	Mavic 3	Affected: 0 , ≤ 01.00.1400 (semver)
DJI	Mavic 3 Classic	Affected: 0 , ≤ 01.00.0800 (semver)
DJI	Mavic 3 Pro	Affected: 0 , ≤ 01.01.0700 (semver)
DJI	Mavic 4 Pro	Affected: 0 , ≤ 01.00.0500 (semver)
DJI	Mini 2	Affected: 0 , ≤ 01.07.0200 (semver)
DJI	Mini 3	Affected: 0 , ≤ 01.00.0500 (semver)
DJI	Mini 3 Pro	Affected: 0 , ≤ 01.00.0900 (semver)
DJI	Mini 4 Pro	Affected: 0 , ≤ 01.00.1100 (semver)
DJI	Mini 5 Pro	Affected: 0 , ≤ 01.00.0600 (semver)

Credits

Abdelrahman Yousef Dr. Jordan Samhi

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
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        "metrics": [
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                "id": "CVE-2026-77812",
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              "value": "DJI drones transmit DUML (DJI Universal Markup Language) protocol messages over BLE (Bluetooth Low Energy) without encryption. When a client attempts to connect to the drone over Wi-Fi, or when the drone is switched to QuickTransfer mode, the DJI Fly application exchanges DUML messages with the drone over BLE, including the Wi-Fi credentials. An attacker within BLE range can passively sniff this traffic and recover the credentials in cleartext, including the drone\u0027s Wi-Fi PSK, SSID, and trusted identifier UUID. Obtaining these credentials allows the attacker to join the drone\u0027s internal Wi-Fi network, interact with network services exposed by the drone, and decrypt Wi-Fi traffic exchanged between the drone and the legitimate user.\u003cbr\u003e\u003cbr\u003e* An attacker within BLE range recovers the Wi-Fi SSID and PSK in cleartext, and can then join the drone\u0027s network \u003cbr\u003e* The same capture also exposes the session UUID identifier, which is the only thing the drone uses to tell a trusted client from an unknown one, so the attacker can replay it and skip the physical confirmation of new connected devices.\u003cbr\u003e* The credentials do not change between sessions unless the operator manually resets the Wi-Fi settings, so one capture stays valid indefinitely\u003cbr\u003e* The attack is fully passive, with nothing transmitted and no connection made, so neither the operator nor the drone has any indication the session was observed\u003cbr\u003e* A BLE sniffer and presence during one normal DJI Fly connection are needed\u003cbr\u003e\u003cbr\u003eAffected models are DJI Neo until 01.00.0400, DJI Neo 2 until 01.00.0500, DJI Flip until 01.00.1200, DJI Air 3 until 01.00.1600, DJI Air 3S until 01.00.1400, DJI Avata 2 until 01.00.0400, DJI Avata 360 until 01.00.0300, DJI Mavic 3 until 01.00.1400, DJI Mavic 3 Classic until 01.00.0800, DJI Mavic 3 Pro until 01.01.0700, DJI Mavic 4 Pro until 01.00.0500, DJI Mini 2 until 01.07.0200, DJI Mini 3 until 01.00.0500, DJI Mini 3 Pro until 01.00.0900, DJI Mini 4 Pro until 01.00.1100, and DJI Mini 5 Pro until 01.00.0600.\u003cbr\u003e\u003cbr\u003eRemediation requires a firmware update from the vendor. There is no user-side mitigation that fully addresses the vulnerability without upgrading."
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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.
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.

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.

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.