WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B: Practical Applications in Cybersecurity

Released under Apache-2.0 license with additional usage restrictions

WhiteRabbitNeo offers the WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B, a specialized AI model designed for offensive and defensive cybersecurity tasks. This 7 billion parameter model is based on the Qwen 2.5 architecture and is fine-tuned for coding tasks.

Key Features:

• Accessible via web application at [whiterabbitneo.com](https://www.whiterabbitneo.com/) and on Kindo.ai
• Supports ChatML prompt format
• Designed for ethical use in cybersecurity

The model has strict usage restrictions, prohibiting its use for illegal activities, military purposes, harming minors, generating false information, discrimination, and other potentially harmful applications.

Feedback from the Cybersecurity Community

Practitioners in the cybersecurity field have highlighted the model's versatility and efficiency in various scenarios. The model is praised for its suitability in local AI SecOps, particularly in secure, air-gapped environments. Its compact nature allows for quick deployment in various situations, including:

• Rapid security assessments
• On-the-fly use of attack tools
• Quick generation of security reports

The model's adaptability has been noted, with some users successfully converting it to GGUF and MLX formats, as well as quantizing it to 4-bit precision for on-device use.

Areas of Excellence

According to user feedback, the WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B model demonstrates proficiency in several key areas of cybersecurity. In the realm of common vulnerabilities, it excels at detecting open ports, identifying outdated software, checking for default credentials, spotting misconfigurations, uncovering injection vulnerabilities, and flagging unencrypted services.

The model also shows strength in web application security, effectively addressing injection flaws, cross-site scripting (XSS), insecure direct object references, and various security misconfigurations. Its capabilities extend to vulnerability scanning, where it integrates well with tools like Nessus or OpenVAS and efficiently detects known software vulnerabilities.

Users have noted its effectiveness in tackling advanced web application vulnerabilities, including issues with authentication and session management, sensitive data exposure, API vulnerabilities, and Denial of Service (DoS) vulnerabilities. In the critical area of data security, the model helps protect against leaks of sensitive information such as credit card numbers, health records, and personal data.

Lastly, the model has shown prowess in identifying and preventing software vulnerabilities, with particular emphasis on buffer overflow detection and prevention.