CVE-2021-36373
Description
From CVE.org
When reading a specially crafted TAR archive an Apache Ant build can be made to allocate large amounts of memory that finally leads to an out of memory error, even for small inputs. This can be used to disrupt builds using Apache Ant. Apache Ant prior to 1.9.16 and 1.10.11 were affected.
Statement
OpenShift Container Platform 4 (OCP) ships affected version of Apache Ant in the ose-metering-hive container, however the metering operator is deprecated since 4.6[1]. This issue is not currently planned to be addressed in future updates and hence ose-metering-hive container has been marked as 'will not fix'.
[1] https://docs.openshift.com/container-platform/4.6/metering/metering-about-metering.html
Common Vulnerability Scoring System (CVSS) Score Details
Info alert:Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).
CVSS v3 Score Breakdown
| Red Hat | NVD | cve.org | |
|---|---|---|---|
| Base Score | 5.5 | 5.5 | N/A |
| Attack Vector | Local | Local | N/A |
| Attack Complexity | Low | Low | N/A |
| Privileges Required | None | None | N/A |
| User Interaction | Required | Required | N/A |
| Scope | Unchanged | Unchanged | N/A |
| Confidentiality | None | None | N/A |
| Integrity Impact | None | None | N/A |
| Availability Impact | High | High | N/A |
Vector
Red Hat: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
NVD: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Understanding the Weakness (CWE)
Availability
Technical Impact: DoS: Resource Consumption (CPU); DoS: Resource Consumption (Memory); DoS: Resource Consumption (Other)
When allocating resources without limits, an attacker could prevent other systems, applications, or processes from accessing the same type of resource. It can be easy for an attacker to consume many resources by rapidly making many requests or causing larger resources to be used than is needed.
Frequently Asked Questions
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