Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

CVE-2026-32705: CWE-121: Stack-based Buffer Overflow in PX4 PX4-Autopilot

0
Medium
VulnerabilityCVE-2026-32705cvecve-2026-32705cwe-121
Published: Fri Mar 13 2026 (03/13/2026, 21:15:55 UTC)
Source: CVE Database V5
Vendor/Project: PX4
Product: PX4-Autopilot

Description

PX4 autopilot is a flight control solution for drones. Prior to 1.17.0-rc2, the BST telemetry probe writes a string terminator using a device-provided length without bounds. A malicious BST device can report an oversized dev_name_len, causing a stack overflow in the driver and crashing the task (or enabling code execution). This vulnerability is fixed in 1.17.0-rc2.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 03/20/2026, 23:11:00 UTC

Technical Analysis

CVE-2026-32705 is a stack-based buffer overflow vulnerability identified in the PX4-Autopilot software, a widely used open-source flight control solution for drones. The vulnerability exists in the BST telemetry probe component, which handles device telemetry data. Specifically, prior to version 1.17.0-rc2, the probe writes a string terminator based on a length value (dev_name_len) provided by the connected device without performing adequate bounds checking. A malicious BST device can exploit this by reporting an excessively large dev_name_len, causing the software to write beyond the allocated stack buffer. This overflow can lead to a task crash or potentially allow an attacker to execute arbitrary code with the privileges of the PX4 flight control process. The vulnerability does not require authentication or user interaction but does require the attacker to be able to communicate with the BST telemetry interface, which may be local or network-exposed depending on deployment. The CVSS v3.1 score of 6.8 reflects a medium severity with high impact on confidentiality, integrity, and availability, but limited attack vector (physical or network proximity). The issue was publicly disclosed on March 13, 2026, and fixed in PX4-Autopilot version 1.17.0-rc2. No known exploits have been reported in the wild to date. This vulnerability highlights the risks of trusting device-provided input lengths without validation in embedded and drone control software.

Potential Impact

The impact of CVE-2026-32705 is significant for organizations relying on PX4-Autopilot for drone operations, including commercial, research, and governmental entities. Exploitation can lead to denial of service through task crashes, disrupting drone flight control and potentially causing mission failure or physical damage. More critically, the vulnerability may allow arbitrary code execution within the flight control system, risking unauthorized control or manipulation of drone behavior. This could lead to data breaches, loss of sensitive operational data, or use of drones as attack vectors in broader cyber-physical attacks. The medium CVSS score reflects the need for attacker proximity, but the high impact on confidentiality, integrity, and availability makes this a serious concern. Organizations operating drones in critical infrastructure, defense, or commercial delivery sectors are especially at risk, as successful exploitation could compromise safety and operational integrity.

Mitigation Recommendations

To mitigate CVE-2026-32705, organizations should immediately update PX4-Autopilot to version 1.17.0-rc2 or later, where the vulnerability is patched. Beyond patching, implement strict validation and filtering of telemetry data from BST devices to ensure length fields are within expected bounds before processing. Limit access to the BST telemetry interface by network segmentation or physical controls to prevent unauthorized devices from connecting. Employ runtime protections such as stack canaries and address space layout randomization (ASLR) where supported by the PX4 platform to reduce exploitation success. Regularly audit and monitor drone telemetry logs for anomalous device behavior or unexpected telemetry lengths. For deployments in sensitive environments, consider additional hardware authentication mechanisms for telemetry devices to prevent malicious device spoofing. Finally, maintain an incident response plan tailored to drone control system compromises.

Pro Console: star threats, build custom feeds, automate alerts via Slack, email & webhooks.Upgrade to Pro

Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-03-13T14:33:42.823Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 69b481d42f860ef943b5ebc3

Added to database: 3/13/2026, 9:29:56 PM

Last enriched: 3/20/2026, 11:11:00 PM

Last updated: 4/28/2026, 7:20:01 AM

Views: 127

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need more coverage?

Upgrade to Pro Console for AI refresh and higher limits.

For incident response and remediation, OffSeq services can help resolve threats faster.

Latest Threats

Breach by OffSeqOFFSEQFRIENDS — 25% OFF

Check if your credentials are on the dark web

Instant breach scanning across billions of leaked records. Free tier available.

Scan now
OffSeq TrainingCredly Certified

Lead Pen Test Professional

Technical5-day eLearningPECB Accredited
View courses