Elastic Cloud on Kubernetes vulnerabilitiesRanked by how likely they are to be used.
Elastic Cloud on Kubernetes is made by Elastic. We track 2 published vulnerabilities in it, across 2 versions. None of them is on the list of flaws known to be exploited today. If you run Elastic Cloud on Kubernetes, keep it on a version the vendor still supports.
We keep watching the known-exploited list.
Which Elastic Cloud on Kubernetes vulnerabilities are being exploited?
This is the list that matters most: flaws criminals are using now.
None of Elastic Cloud on Kubernetes's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.
Which Elastic Cloud on Kubernetes flaws are most likely to be used?
Ranked by the latest exploit-likelihood forecast: the chance each flaw is used in an attack in the next 30 days. A high severity score on its own doesn't tell you that. Flaws shared by many other makers' products are left out.
- 1.4%CVE-2020-7010High
Elastic Cloud on Kubernetes (ECK) versions prior to 1.1.0 generate passwords using a weak random number generator.
- 0.4%CVE-2023-31416Medium
Secret token configuration is never applied when using ECK <2.8 with APM Server >=8.0.
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1 new flaw affects software Acme tracks
Elastic Cloud on Kubernetes (ECK) versions prior to 1.1.0 generate passwords using a weak random number generator. If an attacker is able to determine when the current Elastic Stack cluster was deployed they may be able to more easily brute force the Elasticsearch credentials generated by ECK.
- Matched to
- Elastic Cloud on Kubernetes on Acme's software list
- What to do
- Plan in the vendor’s update
Sent to the alert recipients Acme chose. Also in the app and to Acme's webhook.
We track 2 published vulnerabilities listed under the name Elastic Cloud on Kubernetes, across 2 versions.
None of Elastic Cloud on Kubernetes's vulnerabilities is on the list of flaws known to be exploited today.
Create a Precursor Intelligence account and track Elastic Cloud on Kubernetes. We match it against every published flaw, give each one a risk score from 0 to 100 and keep watching, so you hear about new ones as soon as we know, by email, in the app or by webhook.