CVE-2020-1702
3.3 · LOWOverview
CVE-2020-1702 is a low-severity vulnerability affecting containers-image_project containers-image. It was published on May 27, 2021 and has a CVSS 3.1 base score of 3.3 (LOW).
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical Description
A malicious container image can consume an unbounded amount of memory when being pulled to a container runtime host, such as Red Hat Enterprise Linux using podman, or OpenShift Container Platform. An attacker can use this flaw to trick a user, with privileges to pull container images, into crashing the process responsible for pulling the image. This flaw affects containers-image versions before 5.2.0.
Remediation
Check the references section for vendor advisories and patches from containers-image_project. Update containers-image to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| containers-image_project | containers-image | >= 0, < 5.2.0 | Affected |
Frequently Asked Questions
What is CVE-2020-1702?
CVE-2020-1702 is a low-severity vulnerability affecting containers-image_project containers-image. It was published on May 27, 2021 and has a CVSS 3.1 base score of 3.3 (LOW).
How severe is CVE-2020-1702?
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2020-1702?
Check the references section for vendor advisories and patches from containers-image_project. Update containers-image to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2020-1702?
CyberStrike's AI-powered security agents can automatically detect CVE-2020-1702 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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