FireHunter 6000 Sandbox

Nominated in the Category:

Additional Info

CompanyHUAWEI TECHNOLOGIES CO., LTD
Company sizeover 100,000 employees
Websitehttp://e.huawei.com/en/products/enterprise-networking/security

NOMINATION HIGHLIGHTS

Huawei FireHunter 6000 series sandbox products (hereinafter referred to as Huawei FireHunter) are a family of APT detection systems. They reassemble network traffic mirrored by switches or traditional security devices, and detect files transferred over networks in virtualized environments to detect unknown malicious files. Through credit scanning, real-time behavior analysis, Big Data-based correlation analysis, and cloud-end technologies, Huawei FireHunter collects and analyzes the static and dynamic behavior of target software programs to provide accurate detection results with the help of Huawei’s unique behavior model library. Based on the results, Huawei FireHunter detects, blocks, and visualizes suspicious traffic streams, effectively preventing the spread of unknown threats and protecting business’s core information assets. Huawei FireHunter is especially useful to finance and government agencies, resource providers, and high-tech enterprises.

How we are different

• Simulates system environments and comprehensively detects 20+ types of malware vehicles to reduce false negatives and prevent unknown malware threats.
• Detects zero-day attacks in web traffic to ensure Internet traffic security.
• Uses multi-dimensional analysis methods, such as code analysis, dynamic execution, and intelligent behavior analysis, to reduce false positives and improve detection accuracy to over 99.5%. Implements multi-layer in-depth detection and responds to malware and unknown threats within seconds.


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Voting closes July 18, 2026. Community Choice winners will be announced before Black Hat USA.

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The Community Choice Award is separate from the judged Cybersecurity Excellence Awards. It is determined entirely by public voting, so nominees can receive both jury recognition and Community Choice recognition.