Binarly Transparency Platform

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.

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

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

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.

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.

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.

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.

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.

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 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.

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.