Binarly Transparency Platform

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

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

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

Statically analyzes firmware binaries for insecure coding patterns such as unsafe function calls, buffer overflows, and command injection, flagging CWE-class weaknesses without running the device.

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

Creates, imports, and manages Vulnerability Exploitability eXchange statements asserting the exploitability status of CVEs for specific product versions, reducing false positive noise for downstream consumers.

Generates SBOMs from source code analysis (via build system integration), and from binary analysis (via binary composition analysis), the latter enabling SBOM generation for third-party software where source is unavailable.

Generates formatted evidence packages for SBOM-related regulatory requirements: FDA pre-market cybersecurity guidance, Executive Order 14028 SBOM requirements, EU Cyber Resilience Act Article 13.

Manages the SBOM life cycle including discovery, access and secure exchange between software suppliers and consumers.

Monitors SBOMs against live vulnerability feeds, alerts when new CVEs affect components in managed SBOMs. Latency to alert after new CVE publication varies.

Imports and exports SBOMs in CycloneDX, SPDX, and SWID formats, enabling interoperability with scan tools, procurement workflows, and regulatory evidence systems.

Determines whether a vulnerable function is actually reachable and called in the codebase: not merely present in the dependency tree. Reduces actionable CVEs to those with real exploit paths; requires static code analysis on top of dependency scanning.

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.

Scans images stored in registries (ECR, GCR, Artifact Registry, Docker Hub), for vulnerable OS packages and application dependencies at push time or on schedule, without requiring a running container.

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 open source and third-party components in compiled binaries and closed-source artifacts where no package manifest exists.

Defines open source policies (banned licenses, blocked packages, version floors, severity gates) as version-controlled rules applied automatically at scan time across repositories.

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.

Imports or generates Vulnerability Exploitability eXchange documents asserting whether a known CVE actually affects a given product in its deployed context. Reduces false positives in downstream consumers of SBOMs.

Prioritizes dependency vulnerabilities using exploitation signals such as EPSS probability and the CISA Known Exploited Vulnerabilities catalog, ranking findings by real-world exploitation likelihood rather than CVSS severity alone.

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

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.

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

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.

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

Prioritizes vulnerable binary components by real-world exploit signals (EPSS probability and CISA KEV active-exploitation status), so teams fix the binaries attackers are actually using first.

Discovers cryptographic asset usage across the organization (TLS certificates, SSH keys, code signing keys, encrypted data stores) identifying what requires migration to PQC.

Enriches the cryptographic inventory with business impact and third-party dependencies to produce a risk-prioritized migration roadmap, ranking assets on harvest-now-decrypt-later exposure, data sensitivity and lifetime, system criticality, and time required to migrate.