Binarly Transparency Platform logo

Binarly Transparency Platform

Supply Chain SecuritySoftware Composition Analysis (SCA)Firmware SASTBinary Risk Intelligence

Binary analysis platform detecting firmware and software vulnerabilities without source code using AI.

Vendor Information

Binarly logo

Binarly

Santa Monica, CA, United States

Binarly Transparency Platform Overview

Binarly Transparency Platform is an enterprise-class AI-powered firmware and software supply chain security solution that provides comprehensive visibility into hardware and firmware vulnerabilities below the operating system through binary-level analysis without requiring source code access. The platform combines machine learning with deep code inspection to identify known and unknown vulnerabilities, misconfigurations, and malicious code implantation in firmware components from baseboard management controllers (BMCs), Unified Extensible Firmware Interface (UEFI) firmware, and embedded systems. Binarly moves beyond signature-based detection to analyze code semantically for previously unknown issues, automatically classifying vulnerabilities and predicting exploitability while maintaining near-zero false positive rates through advanced binary behavior analysis.

The Binarly team has coordinated disclosure of over 500 critical firmware security vulnerabilities affecting the entire enterprise device ecosystem, including major discoveries like LogoFAIL (CVE-2023-40238) which impacted billions of devices worldwide through vulnerable image parsing components in boot sequences. The platform integrates with Continuous Integration/Continuous Deployment (CI/CD) pipelines for continuous security monitoring, generates firmware Software Bills of Materials (SBOMs) with transitive dependency detection beyond traditional declarations, and provides validated remediation playbooks that significantly reduce response time during security incidents. Transparency Platform version 3.5 introduced native YARA rule support for malware detection and Java ecosystem coverage, while advanced capabilities include post-quantum cryptography detection, differential firmware analysis across releases, threat intelligence monitoring of proof-of-concept exploits, and insecure cryptography pattern identification.

Founded in 2021 by Alex Matrosov (former NVIDIA Chief Offensive Security Researcher and author of "Rootkits and Bootkits") and Claudiu Teodorescu, Binarly serves device manufacturers, original equipment manufacturers, independent BIOS vendors, and enterprise security teams protecting critical infrastructure. The company achieved recognition as a Black Hat USA 2023 Startup Spotlight Finalist and received Pwnie Awards nomination for uncovering repeatable firmware supply chain failures, while securing U.S. Patent No. 12,287,885 for context-sensitive reachability analysis across binary executables. Binarly has raised $14.1 million from Two Bear Capital, Cisco Investments, and other investors, and offers FwHunt as a free public vulnerability scanner for firmware security analysis.

Key Capabilities

Standardized capabilities mapped to this product's security niche

Software Composition Analysis (SCA)

Identifies OSS licenses in the dependency tree and flags conflicts with the project's target license or policy (GPL contamination, copyleft obligations, export-controlled components). Separate from vulnerability detection.

Identifies packages with known-malicious behavior (typosquatting, dependency confusion, backdoored releases), distinct from packages with CVEs in legitimate code.

Blocks or flags PRs in CI/CD pipelines based on policy-defined thresholds, configurable by severity, CVSS score, exploitability, fix availability, or CVE age. Prevents vulnerable code from merging without requiring zero-tolerance policies.

Exports the dependency inventory as a machine-readable Software Bill of Materials in SPDX or CycloneDX format, consumable by downstream vulnerability scanners, compliance tools, and procurement workflows.

Traverses the full dependency graph to surface CVEs in indirect dependencies, packages required by your direct dependencies. Direct-only scanning misses the majority of vulnerable code paths in modern polyglot projects.

Identifies hardcoded credentials, API keys, tokens, and private keys in source files. Operates on the repository and commit history, not at runtime.

Security rules defined as code, versioned in SCM, and evaluated automatically at every scan. Enforces consistent policy across all repositories without manual configuration per project.

Firmware SAST

Generates evidence reports mapped to ETSI EN 303 645 requirements, NIST IR 8259 baseline activities, and EU Cyber Resilience Act Article 13 security requirements.

Extracts and decompresses firmware images (squashfs, cramfs, JFFS2, custom packaging) to enable analysis of the embedded filesystem and binary content.

Finds hardcoded passwords, SSH private keys, API tokens, and cryptographic material embedded in firmware binaries and configuration files.

Identifies CVEs in firmware components using binary similarity matching, component fingerprinting, and library version detection.

Binary Risk Intelligence

Generates evidence artifacts documenting binary component inventories and vulnerability status for FedRAMP, DoD CMMC, and software supply chain compliance requirements.

Monitors deployed binary inventories against CVE feeds, alerting when newly published vulnerabilities affect components identified in tracked binaries.

Scores risk of binary software components from third-party and OSS origin based on CVE exposure, component age, and code quality signals.

Integrations

Compatible tools and platforms

AWSAzureBinary Analysis ToolsCI/CD PipelinesDockerFwHuntGitHubGitLabGoogle Cloud PlatformJenkinsSBOM ToolsSIEM PlatformsThreat Intelligence FeedsYARA

Solution Details

Deployment Options

Where and how this solution can be deployed

CloudSaaS

Support Channels

Available support and communication options

Customer Success TeamDocumentationEmail SupportPhone Support

Pricing Model

How this solution is priced

Subscription

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