
Uncover hidden vulnerabilities and malicious code in firmware and software supply chains.
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Binarly goes beyond mapping binaries to known vulnerabilities by analyzing how code executes. This approach allows it to identify entire classes of defects, including those not yet disclosed, across software, firmware, and containers with near-zero false positives.
Yes, Binarly is designed to find firmware implants and other forms of malicious code. It achieves this by employing behavior analysis techniques to identify suspicious patterns and activities within the binary.
Binarly reduces false positives by analyzing the composition and context of a binary, and in some cases, performing reachability analysis to determine if a vulnerability is actually exploitable. It also uses its own datasets to identify backported fixes, which often cause false positives in other tools.
No, Binarly redefines firmware and vulnerability management without needing source code. It performs automated binary analysis, AI-assisted vulnerability management, and continuous compliance monitoring directly on the compiled binaries.
Binarly utilizes AI-assisted vulnerability management to surface software supply chain insights and help understand how each vulnerability works and its potential impact. This aids in prioritizing and resolving critical issues more efficiently.
Binarly automates the creation and validation of SBOMs, ensuring they accurately reflect both visible and hidden software components. This comprehensive approach helps in understanding true risks and holding vendors accountable for their software's composition.
Source: binarly.io