RevEng.AI is a binary intelligence platform that processes compiled software directly to recover structure and identify malware families from stripped binaries. It addresses the challenge of analyzing unknown executables at the speed and scale of modern threats without requiring source code or sandboxing.
The platform supports analysis of millions of binaries and reports a median end-to-end time of 183 seconds. It achieves 99.4 percent precision in malware family attribution and operates 42 times faster than manual reverse engineering. Its models reason on binaries lacking symbols or source, recovering details that signature-based tools miss.
It is used by security operations centers, threat research teams, product security groups, NATO and allied governments, defense primes, hyperscalers, big tech companies, and global managed service providers. Deployment options include on-prem, air-gapped, or virtual private cloud environments to maintain data sovereignty so samples never leave organizational boundaries. Integration occurs through native plugins for IDA Pro, Ghidra, and Binary Ninja as well as a REST API, Python SDK, and support for STIX/TAXII.
The service was built by reverse engineers for tier-1 security operations. A global corpus of over 1.4 billion binaries underpins its models.
In the AI & ML space, RevEng takes a focused approach. It focuses on analyzing thousands of unknown binaries and malware samples at the speed and scale of modern threats without source code or sandboxing. RevEng is a B2B product aimed at security operations and threat research teams. Pricing is enterprise-only. It runs on the web and API, and it can be self-hosted.
It is developed by RevEng.AI, and it first shipped in 2023. The project is developed in the open on GitHub with 180 stars and 73 commits in the last 90 days. Key capabilities include Binary Analysis, Malware Attribution, and Reverse Engineering. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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