ReversingLabs Spectra Assure

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.

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.

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

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

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

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

Scores open source dependency health using release cadence, maintainer count, contributor reputation, and popularity, flagging abandoned packages beyond known CVEs.

Identifies malicious code patterns, backdoors, and trojanized components in binary artifacts using static signatures and ML classification.

Maps binary components to known CVEs using binary similarity analysis and function-level matching, relevant for third-party software lacking SBOMs.

Decompiles and analyzes compiled binaries for vulnerable code patterns, unsafe function calls, and embedded secrets, without requiring source code access.