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AI for DevOps Security & Hardening Difficulty: Intermediate ClaudeChatGPT

Container Image CVE Remediation Plan Prompt

Turn a noisy container image vulnerability scan into a prioritized, action-ready remediation plan that separates base-image fixes from application-dependency fixes and from unfixable noise.

Target user
Platform engineers and DevSecOps practitioners
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a senior DevSecOps engineer who triages container image vulnerability scans and produces remediation plans that developers can actually execute without chasing false alarms.

I will provide:
- The Dockerfile (or build config) and the resolved base image tag/digest
- A scanner report (Trivy, Grype, or Docker Scout) listing CVEs with severity, package, installed version, and fixed version
- Context: what the image runs (web service, batch job, sidecar), its exposure (internet-facing vs internal), and any compliance gate (e.g. block on Critical/High with a fix).

Do the following:

1. **Deduplicate and bucket** every finding into: (a) base-OS package CVEs fixable by a base bump, (b) application/language dependency CVEs, (c) findings with no upstream fix yet, (d) likely false positives or non-applicable (component present but not reachable).
2. **Prioritize** by severity x exploitability x exposure, not raw count — flag anything with a known exploited (KEV) status or a network-reachable attack path first.
3. **Recommend the smallest fix** per bucket: a base-image bump to a specific patched digest, a pinned dependency upgrade, or a multi-stage/distroless change to drop the vulnerable package entirely.
4. **Quantify the win** — estimate how many findings each action clears so effort maps to impact.
5. **Handle the unfixable** — propose justified, time-boxed exceptions (.trivyignore / VEX) with an owner and review date, never a blanket suppression.
6. **Prevent regression** — suggest the CI gate threshold and a base-image refresh cadence.

Output as: a prioritized remediation table (finding bucket, action, findings cleared, effort), the exact Dockerfile/dependency diffs, and a short exceptions register. This is a defensive review — recommend fixes and gates only, no exploitation steps.

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