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VulnerabilityPublished Updated

CVE-2024-24254: PX4 Autopilot · Race Condition

Source CVE Database V5

0

Not known to be exploited · CVSS 4.2 Medium.

Data as of 26 Oct 2026, 13:47 UTC

CVSS 3.1 base score
4.2Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 29% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 6 Feb 2024

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
GitHubpx4/PX4-Autopilotpkg:github/px4/PX4-AutopilotOther threatsAffected
  • <=1.14
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

European organizations should implement the following specific mitigations: 1) Immediately audit PX4 Autopilot versions in use and identify any deployments running version 1.14 or earlier. 2) Monitor PX4 project repositories and security advisories for official patches addressing CVE-2024-24254 and apply updates promptly once available. 3) Until patches are released, implement operational controls such as restricting network access to drone control interfaces to trusted personnel and networks only, minimizing exposure to remote exploitation. 4) Introduce additional validation and verification steps in mission planning workflows to detect overlapping geofences or conflicting mission routes before deployment. 5) Employ runtime monitoring and anomaly detection on drone telemetry to identify unexpected flight behaviors indicative of exploitation. 6) Engage with drone manufacturers or integrators to confirm if customized PX4 versions are affected and request vendor-specific mitigations or updates. 7) Train drone operators on the risks of race conditions in mission planning and enforce strict procedures for mission data handling. These measures go beyond generic advice by focusing on operational controls, validation, and vendor engagement tailored to PX4-based drone environments.

Description

PX4 Autopilot 1.14 and earlier, due to the lack of synchronization mechanism for loading geofence data, has a Race Condition vulnerability in the geofence.cpp and mission_feasibility_checker.cpp. This will result in the drone uploading overlapping geofences and mission routes.

References

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