NetRise ZeroLens®: Detect CWEs in Compiled Code

Why You Need NetRise ZeroLens

Traditional tools miss software weaknesses that never make it to a CVE but still get exploited in the wild. ZeroLens closes that gap by scanning binaries directly, revealing unsafe functions, mapping them to CWEs, and providing remediation guidance.

With ZeroLens, you can:

Detect weaknesses
before they become public vulnerabilities
Verify
whether patches actually fix issues
Prioritize remediation
based on exploitability and reachability
Scale assessments
across thousands of binaries

What You’ll Learn in This Data Sheet
- CWE Detection & Remediation: Identify unsafe functions in binaries and map them to known CWE categories.
- Exploitability-Based Prioritization: Focus on weaknesses attackers are most likely to exploit.
- Binary Patch Verification: Confirm updates fix the right issues without introducing new risks.
- Function Call Graphs: Trace how functions interact inside binaries to understand context and downstream reachability.
- Portfolio-Wide Scanning: Process thousands of binaries in parallel for enterprise or industry-wide assessments.

How NetRise ZeroLens Works

Input Formats
Standard compiled binaries (ELF, PE, Mach-O). When used within the NetRise Platform, ZeroLens also supports binaries extracted from firmware and custom images.
Outputs
CWE mappings, severity scoring, exploitability insights, and remediation recommendations.
Reachability Analysis
Determine whether weaknesses exist in executable paths.
Deployment
Cloud-native, fully integrated into the NetRise Platform.

Who Benefits from NetRise ZeroLens

Product Security Teams (OEMs)

Detect weaknesses in software early in the development lifecycle.

Security Operations Teams

Triage compiled assets and focus remediation on the most urgent findings.

Red teams and researchers

Explore unknown weaknesses in third-party code missed by traditional static analysis.

Medical, critical infrastructure, or regulated industries

Validate binaries in systems where secure coding standards are inconsistent or missing.