AI security analyzer CODAx found 16 vulnerabilities in the OpenRISC kernel

Caspia Technologies has shared the results of testing its CODAx tool, an AI-based security analysis assistant for processor architectures. According to the company, CODAx found 16 vulnerabilities in the popular OpenRISC kernel in just one minute by analyzing about 32,000 lines of code.

What is OpenRISC and why is it important?”

OpenRISC is an open processor core that is used in a variety of industries including automotive, media, home entertainment and telecommunications. The project was introduced 25 years ago and has since found use in a multitude of devices. However, as Caspia’s research has shown, even such proven solutions can contain serious vulnerabilities.

So far, the Caspia research has shown that even such proven solutions can contain serious vulnerabilities.

How does CODAx handle the analysis?”

CODAx utilizes over 150 security rules based on learning from the latest vulnerability data, threat models, and AI agents. Unlike traditional tools such as the “gold standard” of linting, which found only 2 out of 16 vulnerabilities, CODAx demonstrates a significantly higher performance.

Analyze your vulnerabilities with CODAx.

What vulnerabilities were discovered?”

The issues found include vulnerabilities that could make devices susceptible to fault injection attacks and leak sensitive information. For example, one of the issues could be exploited when a processor leaves a reset state.

A number of vulnerabilities were found that could make devices susceptible to fault injection attacks and privacy leaks.

Benefits of CODAx

Caspia Technologies emphasizes that CODAx is not only effective but also easy to use. The tool is available for testing for free on the company’s website, which is especially appealing to developers of open source projects.

AI in chip design: trends and prospects

The use of artificial intelligence in chip design is becoming increasingly popular. Intel, for example, is already using AI tools to optimize processes such as Meteor Lake processor development, reducing turnaround time from hours to minutes. Synopsys and Cadence are also actively incorporating AI into their design tools.

But CODAx stands out from the competition by focusing on security and ease of use. Its unique access model for open source projects makes it particularly appealing to the design community.

And its unique access model for open source projects makes it particularly attractive to the design community.

Caspia Technologies has already partnered with seven leading technology companies in various industries. It appears that the CODAx tool will be an important step in improving the security of processor architectures, especially in the face of increasing cyber threats.