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CVE-2020-11947

3.8 · LOW
Published Dec 31, 2020 qemu CWE-125 EPSS 0.47% (39th pctl)

Overview

CVE-2020-11947 is a low-severity vulnerability affecting qemu qemu. It was published on December 31, 2020 and has a CVSS 3.1 base score of 3.8 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.8, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

iscsi_aio_ioctl_cb in block/iscsi.c in QEMU 4.1.0 has a heap-based buffer over-read that may disclose unrelated information from process memory to an attacker.

Remediation

Check the references section for vendor advisories and patches from qemu. Update qemu 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

Frequently Asked Questions

What is CVE-2020-11947?

CVE-2020-11947 is a low-severity vulnerability affecting qemu qemu. It was published on December 31, 2020 and has a CVSS 3.1 base score of 3.8 (LOW).

How severe is CVE-2020-11947?

This vulnerability has a CVSS 3.1 base score of 3.8, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2020-11947?

Check the references section for vendor advisories and patches from qemu. Update qemu 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-2020-11947?

CyberStrike's AI-powered security agents can automatically detect CVE-2020-11947 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.