Elastic Cloud On KubernetesApplication · Elastic

CVE-2020-7010

HIGH · 7.5 CVSS v3.1 Published 2020-06-03
Fix available
A fix is available. Upgrade to 1.1.0 or later.
See remediation →
84/100
Remediation priority · High
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
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.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

ECK versions before 1.1.0 use a weak random number generator to create Elasticsearch passwords. The predictability is compounded by the fact that knowing the cluster deployment timestamp significantly reduces the password search space, enabling easier brute-force attacks on credentials.

MitigationUpgrade ECK to version 1.1.0 or later and rotate all Elasticsearch passwords generated by the old version.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
Elastic Cloud On KubernetesApplication
Affected:< 1.1.0

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Check ECK operator version
    Run 'kubectl get pods -n elastic-system -l control-plane=operator' and check the image tag in the container spec, or check the deployed operator deployment/CSV version
    Affected if Version is below 1.1.0 (e.g., 1.0.x, 1.0.0, etc.)
  2. Identify Elasticsearch user passwords created by ECK
    Review Kubernetes secrets in the Elastic namespace: 'kubectl get secrets -n <elastic-namespace>' and check for user-password and bootstrap-password secrets created by the ECK operator
    Affected if Password secrets exist and were created when ECK was below version 1.1.0
  3. Check cluster deployment timestamp
    Run 'kubectl get elasticsearch <cluster-name> -n <namespace> -o jsonpath={.metadata.creationTimestamp}' to get the cluster creation time
    Affected if Cluster was created while running ECK version below 1.1.0, making passwords more vulnerable to brute-force due to reduced search space
  4. Review operator logs for password generation
    Check operator logs: 'kubectl logs -n elastic-system -l control-plane=operator' for entries indicating password generation using SecureRandom or Math.random
    Affected if Logs show password generation occurred before ECK upgrade to 1.1.0 or later

User is affected if ECK operator version is below 1.1.0 and Elasticsearch user passwords were generated by that vulnerable version, especially if the cluster deployment timestamp is known to attackers.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Upgrade available Upgrade to 1.1.0 or later
Fixed in 1.1.0
Interim mitigation

Upgrade ECK to version 1.1.0 or later and rotate all Elasticsearch passwords generated by the old version.

Fix this in Elastic Cloud On Kubernetes Scoped from the published advisory
  • Consultation3.0 h
  • Implementation6.0 h
  • Testing3.0 h
  • Review / QA2.0 h
14.0 hours of engineering $2,490
Get the upgrade done

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $3,984.

Scan for this in your stack

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dbcve dependency scanner

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2020-7010 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data