Kaspersky Lab experts investigating the experimental cloud infrastructure for advanced bionic prostheses have identified several previously unknown security issues that could enable a third party to access, manipulate, steal or even delete the private data and more of device users. The findings were shared with the manufacturer Motorica, a Russian high-technology start-up that develops bionic upper limb prostheses to assist people with disabilities, enabling them to address the security issues.
Kaspersky Lab ICS CERT researchers, in partnership with
The initial research identified several security issues. These include insecure http connection, incorrect account operations and insufficient input validation. When in use, the prosthetic hand transmits data to the cloud system. Due to the security gaps, an attacker could:
- Gain access to information held in the cloud about all the connected accounts (including logins and passwords in plaintext for all the prosthetic devices and their administrators)
- Manipulate, add or delete such information
- Add or delete their own regular and privileged users (with administrator rights).
“New technologies are bringing us to a new world in terms of bioinc assisting devices. It is now of crucial importance for the developers of such technologies to collaborate with cyber security solution vendors. That will allow us to make even theoretical cases of attacks on the human body impossible,” noted Ilya Chekh, CEO at Motorica.
To keep the devices safe, we advise that companies:
- Check out threat models and vulnerability classifications for the relevant web-based and IoT technologies, provided by industry experts, such as OWASP IoT Project.
- Introduce secure software development practices based on the proper lifecycle. To evaluate existing software security practices use a systematic approach — for example, OWASP OpenSAMM.
- Establish a procedure for obtaining information on relevant threats and vulnerabilities to ensure proper and timely response to any incidents.
- Regularly update operating systems, application and device software and security solutions.
- Implement cybersecurity solutions designed to analyze network traffic, detect and prevent network attacks – at the boundary of the enterprise network and at the boundary of the OT network.
- Use a protection solution with machine learning anomaly detection (MLAD) technology to reveal deviations in IoT devices’ behavior — for early detection of attack, failure or damage of the device.
Read the full version of the report on the Securelist website.
While bionic technologies are developing, it is important to explore what kind of security issues they may contain to solve them properly. For better understanding on what the future can bring us, Kaspesky Lab hosts the Earth 2050 website with collection offuturistic forecasts.