Deepbits- Threat Discovery For Binary Code

Built for Efficient Binary Code Analysis

GPU-Accelerated

Unleash the power of GPU for disassembly, deliberately built for downstream machine learning based cybersecurity applications (e.g., malware detection and classification).

Obfuscation Resilient

Low false positive/negative rate on identifying obfuscated code, and can automatically handle unseen obfuscation techniques with quick retraining

Accurate & Efficient

Disassemble the code 100X faster than state-of-art disassemblers while producing the same or better accuracy.

100x

Faster than state-of-the-art

0.02%/0.02%

False Positive/Negative Rate on instruction identification

99.8%/99.9%

Precision on Basic Block/Function Identification

Embeddable Everywhere

Save Manual Analysis Time

Disassemble those large binary files that take other disassemblers hours to analyze within seconds.

Analyze Code on Endpoint in Real Time

Embedded with endpoint security solutions to identify the malware promptly.

Empower Large Volume Code Analysis

Conduct sophisticated analysis of large volume code that cannot be finished timely before.

Enable Memory Dump Analysis of Cloud VMs

Dump and analyze the memory of Cloud VMs periodically to find any in-memory threats timely.

Pricing

Product Feature	Personal $99/yr	Commercial $1,999/yr	Enterprise Contact Us
Disassemble x86/64 binary
Disassemble Arm binary
Windows Support
Linux Support
GPU Support
Powerful Plugin API
IDA/BinaryNinja/Ghidra Plugin
Allows Commercial Use
Floating Licenses
	Purchase	Purchase	Contact Us

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DeepDi: A Fast and Accurate Disassembler for Binary Code AI

AI models (e.g., malware detection) work perfectly, but feature extraction (e.g., n-gram, CFG) from binary code is too slow?