Docker CVE Base Image Patch Router
28.40 in critical container base image CVE vulnerabilities remediated across across 3 items.
CVSS 9.8 critical vulnerability in curl. Allows remote code execution. Resolved by upgrading base image to deb12u5 patch under NIST Rule 2.
Method1Parsed CycloneDX SBOM package manifests against NIST National Vulnerability Database.
2Generated automated Dockerfile base image upgrade directives to verified non-vulnerable digests.
| Reference | Description | CVSS_Score |
|---|---|---|
| python-worker | Critical SOCKS5 Heap Buffer Overflow (curl) | 9.80 |
| ruby-backend | Critical Git Archive Remote Code Execution | 9.80 |
| node-api-server | High Severity OpenSSL Type Confusion | 8.80 |
Docker Software Bill of Materials (SBOM) CycloneDX/SPDX JSON files, plus NIST CVE vulnerability advisories
Dockerfile base image upgrade patch and critical vulnerability remediation matrix (Resolution Dossier, Findings Schedule)
Open Docker CVE Base Image Patch Router on sample data now with no sign-up, then run your own files free for 14 days. $2,500 a month after that, cancel any time. 30% goes to the referring partner.
Read in memory for the session, never stored, never used to train a model.
Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.
14 days on your own files, then $2,500 a month.
Open Docker CVE Base Image Patch Router on sample data now with no sign-up, then run your own files free for 14 days. $2,500 a month after that, cancel any time.
On a sample file: 28.40 in critical container base image CVE vulnerabilities remediated across across 3 items.
Why not just use ChatGPT?
Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.
Start on your own files
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.