RevEng.AI

Foundational AI Models for Reverse Engineering

The X-Ray for Compiled Software

RevEng.AI is a binary intelligence platform trusted by security operations, threat research, and product security teams to analyze millions of unknown executables - without source code, without sandboxing delays, without compromise.

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Trusted by analysts at
Enterprise Cyber Security TeamsNATO & Allied GovernmentsDefense PrimesHyperscalers and Big TechGlobal MSPs, MSSPs & Telcos
183s

Median end to end analysis

99.4%

Malware family attribution precision

42×

Faster than manual reverse engineering

1.4B+

Binaries analysed in the global corpus

Why RevEng.AI

Built by reverse engineers. Trusted by Tier 1 SOCs.

Legacy tools analyze one binary at a time. Your adversary ships thousands. RevEng.AI was built ground-up to understand compiled software at the speed and scale of the actual threat - no source code required.

No source. No symbols. No problem.
No source. No symbols. No problem.
Our models reason directly on stripped binaries, recovering structure that signature engines miss entirely.
Sovereign by default.
Sovereign by default.
On-prem, air-gapped, or in your VPC. Your samples never leave your boundary.
Built for the toolchain you already use
Built for the toolchain you already use
Native plugins for IDA Pro, Ghidra, and Binary Ninja, plus REST API, Python SDK, and STIX/TAXII
The Platform

One binary intelligence fabric. Four production-grade capabilities.

From a single uploaded artifact to a fleet-wide attestation pipeline - RevEng.AI gives reverse engineers, threat hunters, and product security teams the same answers, at the same depth, in seconds.

Agentic Malware Analysis

Autonomous threat investigation at machine speed

Triage AnalysisThreat Score
Semantic Code Search

Find functionally similar code across any binary

Assembly diffAdler32 code match
AI Decompilation

Human-readable code from compiled executables

Decompiled outputAnalysis summary
Automated Remediation

YARA rules generated automatically

YARA rule outputThreat Report summary
Integrations

Fits into the stack you already operate

Official SDKs, integrations and community plugins make it easy to integrate into existing workflows

Use Cases

Where binary intelligence is mission-critical.

More use cases for our foundational AI models

Vulnerability research

Vulnerability research

Discover exploitable weaknesses in your own compiled software.

Third-party software assurance

Third-party software assurance

Verify vendor software behaves as expected, without access to source.

Supply chain management​

Supply chain management​

Continuous assurance across multi-tier suppliers.

DevSecOps & CI/CD​

DevSecOps & CI/CD​

Binary checks built into your development pipelines.​

Modernisation & integration​

Modernisation & integration​

Recover and integrate legacy binaries.​

Component firmware analysis​

Component firmware analysis​

Assure device firmware on individual components.

Blog

The latest research from our team

Our team are experts in their fields. Read about our research.

Unmasking KorPlug: A Technical Breakdown - Part 2
Unmasking KorPlug: A Technical Breakdown - Part 2
8/19/2025

Executive Summary This analysis represents the second instalment in a comprehensive examination of the KorPlug malware family. Previous reporting detailed the initial loading vector utilising DLL side-loading techniques against legitimate utilities to achieve code execution. The second-stage payload executes via a designated entry point function. Static analysis of the binary reveals that the Initialise function, invoked by the preceding loader stage, exhibits an anomalous Control Flow Graph (

Unmasking KorPlug: A Technical Breakdown - Part 1
Unmasking KorPlug: A Technical Breakdown - Part 1
6/24/2025

Executive Summary  In late May 2025, RevEng.AI identified a new sample of KorPlug (a.k.a Hodur) —a well-known Remote Access Trojan (RAT) frequently leveraged in targeted cyber-espionage campaigns—uploaded to a third-party file-scanning platform. This report is the first in a three-part series detailing a malware campaign involving KorPlug. This is the first of three reports describing a KorPlug campaign, detailing a three-stage malware-execution chain. The observed campaign detailed in this P

Automating String Decoding in Malware: Analysing StealC V1 with IDAPython
Automating String Decoding in Malware: Analysing StealC V1 with IDAPython
6/4/2025

Reverse engineering malware often feels like solving a puzzle where half the pieces are hidden. Among the most common obstacles analysts face is string obfuscation—a technique where malware authors encrypt or encode strings to evade detection and frustrate analysis. This anti-analysis technique appears in virtually every modern malware family, turning what should be straightforward analysis into hours of tedious manual work. In this post, RevEng.AI will explore two approaches to dealing with th

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