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  4. Kicking the Tires of Docker Scout

Kicking the Tires of Docker Scout

In this short post, we tried Docker Scout, the Docker image vulnerability detection tool. Thanks to it, we removed one high-level CVE we introduced in the code.

By 
Nicolas Fränkel user avatar
Nicolas Fränkel
·
Jan. 18, 24 · Tutorial
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I never moved away from Docker Desktop. For some time, after you use it to build an image, it prints a message:

Plain Text
 
What's Next?
  View a summary of image vulnerabilities and recommendations → docker scout quickview


I decided to give it a try. I'll use the root commit of my OpenTelemetry tracing demo. Let's execute the proposed command:

Shell
 
docker scout quickview otel-catalog:1.0


Here's the result:

Plain Text
 
    ✓ Image stored for indexing
    ✓ Indexed 272 packages
  Target               │  otel-catalog:1.0        │    0C     2H    15M    23L
    digest             │  7adfce68062e            │
  Base image           │  eclipse-temurin:21-jre  │    0C     0H    15M    23L
  Refreshed base image │  eclipse-temurin:21-jre  │    0C     0H    15M    23L
                       │                          │
What's Next?
  View vulnerabilities → docker scout cves otel-catalog:1.0
  View base image update recommendations → docker scout recommendations otel-catalog:1.0
  Include policy results in your quickview by supplying an organization → docker scout quickview otel-catalog:1.0 --org <organization>


Docker gives out exciting bits of information:

  • The base image contains 15 middle-severity vulnerabilities and 23 low-severity ones
  • The final image has an additional two high-level severity
  • Ergo, our code introduced them!

Following Scout's suggestion, we can drill down the CVEs:

Shell
 
docker scout cves otel-catalog:1.0


This is the result:

Plain Text
 
    ✓ SBOM of image already cached, 272 packages indexed
    ✗ Detected 18 vulnerable packages with a total of 39 vulnerabilities
## Overview
                    │       Analyzed Image
────────────────────┼──────────────────────────────
  Target            │  otel-catalog:1.0
    digest          │  7adfce68062e
    platform        │ linux/arm64
    vulnerabilities │    0C     2H    15M    23L
    size            │ 160 MB
    packages        │ 272
## Packages and Vulnerabilities
   0C     1H     0M     0L  org.yaml/snakeyaml 1.33
pkg:maven/org.yaml/[email protected]
    ✗ HIGH CVE-2022-1471 [Improper Input Validation]
      https://scout.docker.com/v/CVE-2022-1471
      Affected range : <=1.33
      Fixed version  : 2.0
      CVSS Score     : 8.3
      CVSS Vector    : CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L
   0C     1H     0M     0L  io.netty/netty-handler 4.1.100.Final
pkg:maven/io.netty/[email protected]
    ✗ HIGH CVE-2023-4586 [OWASP Top Ten 2017 Category A9 - Using Components with Known Vulnerabilities]
      https://scout.docker.com/v/CVE-2023-4586
      Affected range : >=4.1.0
                     : <5.0.0
      Fixed version  : not fixed
      CVSS Score     : 7.4
      CVSS Vector    : CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N


The original output is much longer, but I stopped at the exciting bit: the two high-severity CVEs; first, we see the one coming from Netty still needs to be fixed — tough luck. However, Snake YAML fixed its CVE from version 2.0 onward.

I'm not using Snake YAML directly; it's a Spring dependency brought by Spring. Because of this, no guarantee exists that a major version upgrade will be compatible. But we can surely try. Let's bump the dependency to the latest version:

XML
 
<dependency>
    <groupId>org.yaml</groupId>
    <artifactId>snakeyaml</artifactId>
    <version>2.2</version>
</dependency>


We can build the image again and check that it still works. Fortunately, it does. We can execute the process again:

Shell
 
docker scout quickview otel-catalog:1.0


Lo and behold, the high-severity CVE is no more!

Plain Text
 
  ✓ Image stored for indexing
  ✓ Indexed 273 packages
Target     │  local://otel-catalog:1.0-1  │    0C     1H    15M    23L
  digest   │  9ddc31cdd304                │
Base image │  eclipse-temurin:21-jre      │    0C     0H    15M    23L


Conclusion

In this short post, we tried Docker Scout, the Docker image vulnerability detection tool. Thanks to it, we removed one high-level CVE we introduced in the code.

To Go Further

  • Docker Scout
  • 4 Free, Easy-To-Use Tools For Docker Vulnerability Scanning
Docker (software)

Published at DZone with permission of Nicolas Fränkel. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

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  • Solving the Mystery: Why Java RSS Grows in Docker on M1 Macs
  • How We Diagnosed a Hidden Scheduler Failure in a Docker Swarm Cluster Serving 2 Million Users
  • Java Backend Development in the Era of Kubernetes and Docker

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