Security leaders must recognize that vulnerability scanners often produce inconsistent results due to underlying structural differences in how tools identify packages, match data, and interpret security metadata.

Key Points

• Industry-standard scanners like Grype and Trivy can show an 80% divergence in vulnerability findings when analyzing the exact same container image.
• Discrepancies arise from inconsistent use of CPE and PURL identifiers, which lack standardized formatting across different software ecosystems.
• Vulnerability databases, including NVD and OSV, provide varying levels of coverage and update speeds, leading to further reporting inconsistencies.
• SBOM generators significantly impact scan results, as different tools include or omit metadata that scanners rely on to match vulnerabilities.
• Security teams often unknowingly rely on default suppression rules or vendor-specific scoring logic that can mask critical risks or inflate false positives.

Why it Matters

Relying on unverified scanner output creates a false sense of security that can leave critical vulnerabilities undetected or overwhelm teams with irrelevant data. Organizations must audit their toolchains and document internal suppression rules to ensure their security programs produce reliable, actionable intelligence rather than just raw numbers.