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VAR-202405-1101

Vulnerability from variot - Updated: 2025-03-14 22:51

The 'control' in Parrot ANAFI USA firmware 1.10.4 does not check the MAV_MISSION_TYPE(0, 1, 2, 255), which allows attacker to cut off the connection between a controller and the drone by sending MAVLink MISSION_COUNT command with a wrong MAV_MISSION_TYPE. Parrot of ANAFI There are unspecified vulnerabilities in the firmware.Service operation interruption (DoS) It may be in a state

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CVE-2024-33844 (GCVE-0-2024-33844)

Vulnerability from cvelistv5 – Published: 2024-05-03 00:00 – Updated: 2026-07-09 00:30

Summary

Severity

7.5 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-08-06 14:34 UTC

CWE

n/a
CWE-404 - Improper Resource Shutdown or Release

Assigner

mitre mitre root

References

2 references

URL	Tags
https://forum.developer.parrot.com/t/cve-2024-338…
https://forum.developer.parrot.com/t/cve-2024-338…

Impacted products

1 product

Vendor	Product	Version
parrot	anafi_firmware	Affected: 1.10.4 cpe:2.3:o:parrot:anafi_firmware:1.10.4:::::::*

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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.