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CVE-2024-40427: n/a

0
High
VulnerabilityCVE-2024-40427cvecve-2024-40427
Published: Tue Jan 07 2025 (01/07/2025, 00:00:00 UTC)
Source: CVE Database V5

Description

Stack Buffer Overflow in PX4-Autopilot v1.14.3, which allows attackers to execute commands to exploit this vulnerability and cause the program to refuse to execute

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/28/2026, 05:19:40 UTC

Technical Analysis

CVE-2024-40427 is a stack-based buffer overflow vulnerability identified in PX4-Autopilot version 1.14.3, a widely used open-source flight control software for drones and autonomous vehicles. The vulnerability arises from improper handling of input data on the stack, allowing an attacker to overwrite critical memory regions. Exploiting this flaw enables an attacker with local access and limited privileges to execute arbitrary commands, potentially escalating privileges or causing denial of service by crashing the autopilot software. The CVSS v3.1 base score of 7.9 reflects high severity, with attack vector local (AV:L), low attack complexity (AC:L), requiring low privileges (PR:L) and user interaction (UI:R). The scope is changed (S:C), indicating that exploitation can affect components beyond the vulnerable code, impacting system integrity and availability but not confidentiality. The vulnerability is categorized under CWE-120, a common weakness related to buffer overflows. No patches or known exploits are currently available, but the risk remains significant due to the critical role of PX4 in autonomous flight control. The vulnerability could be leveraged to disrupt drone operations, potentially causing crashes or hijacking control, which is critical in both civilian and military contexts.

Potential Impact

The impact of CVE-2024-40427 is substantial for organizations relying on PX4-Autopilot for drone or autonomous vehicle operations. Successful exploitation can lead to loss of control over the vehicle, causing crashes or mission failures, which could result in physical damage, safety hazards, and operational downtime. Integrity of the autopilot software can be compromised, allowing attackers to inject malicious commands or alter flight behavior. Availability is also affected as the program may refuse to execute or crash, disrupting critical autonomous functions. This poses risks to industries such as defense, agriculture, delivery services, and research institutions using PX4-based drones. The lack of current patches increases exposure, and the requirement for local access and user interaction limits remote exploitation but does not eliminate insider or supply chain risks. The scope of impact extends to any system integrating PX4-Autopilot, potentially affecting a broad range of autonomous platforms globally.

Mitigation Recommendations

To mitigate CVE-2024-40427, organizations should immediately restrict local access to systems running PX4-Autopilot, ensuring only trusted users can interact with the software. Implement strict user privilege management to minimize the risk of low-privilege users exploiting the vulnerability. Employ application whitelisting and runtime application self-protection (RASP) where possible to detect and block anomalous command executions. Monitor system logs and behavior for signs of crashes or unusual command activity indicative of exploitation attempts. Segregate networks and isolate autonomous systems from general-purpose networks to reduce attack surface. Prepare for rapid deployment of patches once released by PX4 maintainers by establishing a vulnerability response plan. Additionally, conduct code audits and fuzz testing on PX4 components to identify and remediate similar buffer overflow issues proactively. Consider using hardware-based security features such as memory protection units (MPUs) or address space layout randomization (ASLR) if supported by the platform to mitigate exploitation.

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Technical Details

Data Version
5.1
Assigner Short Name
mitre
Date Reserved
2024-07-05T00:00:00.000Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 699f6ca9b7ef31ef0b567d79

Added to database: 2/25/2026, 9:42:01 PM

Last enriched: 2/28/2026, 5:19:40 AM

Last updated: 4/12/2026, 3:35:32 PM

Views: 17

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