Trivy vs Grype: An Honest Comparison of Two Scanners

The one-line summary

Trivy (Aqua Security) is an all-in-one scanner: images, filesystems, git repos, IaC misconfiguration, secrets, licenses, and Kubernetes, in one binary. Grype (Anchore) is a focused vulnerability scanner for images, filesystems, and SBOMs that pairs with Syft for SBOM generation. If you want one tool for many jobs, that points to Trivy. If you want a composable, SBOM-first vulnerability scanner, that points to Grype. Both are Apache-2.0 licensed and widely used in production.

Capability at a glance

The databases

Both tools build a single database ahead of time and match locally against it. Trivy distributes trivy-db as an OCI artifact and refreshes it on a schedule; Grype ships grype-db and updates it via grype db update. Under the hood both aggregate similar upstreams — NVD, GitHub Security Advisories, and per-distro security trackers for Alpine, Debian, Ubuntu, RHEL, and others — which is exactly why their results usually land so close together.

The shared architecture is also the shared limitation. A single pre-aggregated database is a point-in-time snapshot, and any advisory a tool has not integrated yet is invisible to it. We unpack how the underlying sources diverge in our CVE database comparison.

Output formats and CI fit

Both scanners cover the formats CI systems expect. Trivy emits a table, json, SARIF, CycloneDX, SPDX, and a Go-template mode, plus native GitHub Actions support. Grype emits a table, JSON, CycloneDX, SARIF, and templates, and its tight coupling with Syft makes the “generate an SBOM once, scan it many times” pattern very clean. For failing a build on severity, both take a threshold flag:

# Trivy: fail the job on High or Critical
trivy image --exit-code 1 --severity HIGH,CRITICAL myapp:latest

# Grype: fail the job at or above the "high" severity gate
grype myapp:latest --fail-on high

# Grype consuming a Syft SBOM instead of re-scanning the image
syft myapp:latest -o cyclonedx-json > sbom.json
grype sbom:sbom.json --fail-on high

Performance and finding counts

The numbers below come from our 2026 benchmark (warm cache; Trivy 0.69.1, Grype 0.109.0; finding count = unique CVE IDs). Times are in parentheses:

Two things stand out. Trivy is consistently the faster of the two — sub-second on every image — while Grype takes one to a few seconds. And the finding counts track closely on most images but not all: on ubuntu:24.04 Grype reported 47 to Trivy's 10. That kind of gap is a reminder that even two single-database scanners disagree at the edges, usually over how each maps distro packages to advisories. In day-to-day CI, the speed difference is noise; the coverage difference is the thing worth testing on your own images.

Where ScanRook differs from both

Trivy and Grype share an architecture — one pre-aggregated database, matched locally — and that is what makes them fast and what caps their depth. ScanRook takes the other tradeoff: it queries OSV, NVD (via CPE matching), and Red Hat OVAL in parallel for every package and reads the actual installed-package state inside the image. In the same benchmark that produced the table above, ScanRook found 1,365 findings on ubuntu:24.04 where Trivy found 10 and Grype 47, and 2,952 on nginx:1.27 where both single-database tools landed near 315. The cost is speed: ScanRook took 3–9 seconds per image in live-query mode versus their sub-second-to-few-second scans, a gap its local vulnerability-database mode narrows. This is a genuine tradeoff, not a free lunch — we lay out both sides in Trivy alternatives and Grype alternatives.

Which should you pick?

• Pick Trivy if you want one tool covering images, IaC, secrets, and Kubernetes, the fastest scans, and first-class CI integrations. For most teams starting out, it is the pragmatic default.
• Pick Grype if you are building an SBOM-first pipeline around Syft, want a small focused scanner rather than an all-in-one, or already live in the Anchore ecosystem.
• Add a deeper scannerif “the scanner did not know about it” is not an acceptable answer — security reviews, compliance audits, or any case where you need coverage beyond a single database. Two single-database tools mostly duplicate each other; a different architecture is what adds a real second opinion.

Whichever you choose, evaluate it on your own images rather than a blog table. See the full multi-tool picture in the best container vulnerability scanners of 2026.

Frequently asked questions