CVE intelligence and bounded remediation
CVE-2022-31078 — KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge
KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. Prior to versions 1.11.1, 1.10.2, and 1.9.4, the CloudCore Router does not impose a limit on the size of responses to requests made by the REST handler. An attacker could use this weakness to make a request that will return an HTTP response with a large body and cause DoS of CloudCore. In the HTTP Handler API, the rest handler makes a request to a pre-specified handle. The handle will return an HTTP response that is then read into memory. The consequence of the exhaustion is that CloudCore will be in a denial of service. Only an authenticated user of the cloud can make an attack. It will be affected only when users enable `router` module in the config file `cloudcore.yaml`. This bug has been fixed in Kubeedge 1.11.1, 1.10.2, and 1.9.4. As a workaround, disable the router switch in the config file `cloudcore.yaml`.
- Severity
- Medium
- CVSS
- 6.5 (3.1)
- Published
- 2022-07-11
- CISA KEV
- Not currently listed
- Ecosystem
- software/application
- Weaknesses
- CWE-400, CWE-770
Affected products
- linuxfoundation / kubeedge
Matched remediation archetype
Resource exhaustion and denial of service
This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.
Check exposure
- Identify attacker-influenced work factors including input size, nesting, compression, fan-out, regex cost, allocation, recursion, retries, and connection lifetime.
- Map per-request and shared CPU, memory, disk, descriptor, thread, queue, and downstream-service limits.
- Determine whether authentication, tenancy, quotas, and rate controls apply before expensive processing begins.
Remediate safely
- Bound input size, nesting, expansion, work, concurrency, queue depth, retries, and execution time before resource-intensive processing.
- Release resources on every success, error, cancellation, and timeout path and use backpressure instead of unbounded buffering.
- Update affected components and add small deterministic tests that assert resource ceilings rather than exhausting a host.
Authoritative sources
Complete CVE record and remediation plan
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