In keeping with our Cybersecurity Awareness Month goals, we want to share information about open source projects that can help strengthen the security of your apps and organizations and improve the security of your LLM.
nucleus A high-performance, open-source vulnerability scanner known for its flexibility and speed. Key features include:
- YAML-based templates: Customizable templates simulate real-world vulnerability detection to ensure accuracy and reduce false positives.
- high speed scanning: Parallel processing and request clustering for fast scans.
- Extensive protocol support: Supports HTTP, TCP, DNS, SSL, WHOIS, etc.
- completion: Easily integrates into CI/CD pipelines and tools like Jira, Splunk, and GitHub.
- community donations: Thousands of security experts contribute to a constantly updated library of templates to enhance coverage of the latest vulnerabilities.
Purple Llama is an open source project for responsible AI development that provides the following features:
Main tools:
- Llama Guard 3 – Input/Output Content Coordination Model
- Prompt Guard – Protects against malicious prompts and jailbreaks
- Code Shield – Filters out unsafe code during inference.
Assessment tools:
- CyberSec Eval Series (v1-v3) for AI security testing, including code safety, rapid injection, and cyberattack prevention
License:
- Evaluation/Benchmark: MIT License
- Protection Tools: Various Llama Community Licenses
The project combines offensive (red team) and defensive (blue team) approaches to AI safety, with a focus on cybersecurity and content protection.
that OWASP accumulation project A powerful tool for Attack Surface Mapping and perform External Asset Search. We use both open source intelligence gathering and active reconnaissance techniques to find potential entry points, combining APIs, certificate databases, DNS scanning, routing information, scraping, and WHOIS data.
Key features:
- asset discovery: Comprehensive detection of subdomains, IPs, DNS records, etc.
- data source: Integrates with tools such as Shodan, VirusTotal, GitHub, and APIs from public archives.
- Deployment Options: We provide CLI, Docker, and pre-built packages to suit various environments.
Amass is widely used by penetration testers and red teams for security assessments to identify vulnerabilities across large networks.
that MISP Project It is an open source platform for Cyber ​​Threat Intelligence SharingSupports analysis and sharing of threat data, malware information, and security incidents. Designed for cybersecurity professionals, MISP supports efficient information sharing and correlation of indicators of compromise (IOCs) to help organizations quickly detect and respond to threats.
Key features include:
- Data sharing and synchronization: Facilitates sharing across organizations using both structured (JSON, STIX) and flexible formats for easy integration.
- correlation engine: Highlight relationships by linking metrics across incidents, supported by powerful APIs and custom taxonomies.
- User-friendly interface: Graphical views for visualizing relationships and streamlined reporting tools allow users to collaborate on data.
MISP’s flexible configuration has been widely adopted by enterprises and governments to strengthen collective defense against cyber threats.
Find more content:
Security Automation Playlist
DevSec Voice Podcast
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