elasticsearch-security-troubleshooting▌
elastic/agent-skills · updated Apr 8, 2026
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Diagnose and resolve common Elasticsearch security issues. This skill provides a structured triage workflow for
- ›authentication failures, authorization errors, TLS problems, API key issues, role mapping mismatches, Kibana login
- ›failures, and license-expiry lockouts.
Elasticsearch Security Troubleshooting
Diagnose and resolve common Elasticsearch security issues. This skill provides a structured triage workflow for authentication failures, authorization errors, TLS problems, API key issues, role mapping mismatches, Kibana login failures, and license-expiry lockouts.
For authentication methods and API key management, see the elasticsearch-authn skill. For roles, users, and role mappings, see the elasticsearch-authz skill. For license management, see the elasticsearch-license skill.
For diagnostic API endpoints, see references/api-reference.md.
Deployment note: Diagnostic API availability differs between self-managed, ECH, and Serverless. See Deployment Compatibility for details.
Jobs to Be Done
- Diagnose HTTP 401 authentication failures
- Diagnose HTTP 403 permission denied errors
- Troubleshoot TLS/SSL handshake or certificate errors
- Investigate expired or invalid API keys
- Debug role mappings that do not grant expected roles
- Fix Kibana login failures, redirect loops, or CORS errors
- Recover from a license-expiry lockout
- Determine why a user lacks access to a specific index
Prerequisites
| Item | Description |
|---|---|
| Elasticsearch URL | Cluster endpoint (e.g. https://localhost:9200 or a Cloud deployment URL) |
| Authentication | Any valid credentials — even minimal — to reach the cluster |
| Cluster privileges | monitor for read-only diagnostics; manage_security for fixes |
Prompt the user for any missing values. If the user cannot authenticate at all, start with TLS and Certificate Errors or License Expiry Recovery.
Diagnostic Workflow
Route the symptom to the correct section:
| Symptom | Section |
|---|---|
HTTP 401, authentication_exception |
Authentication Failures |
HTTP 403, security_exception, access denied |
Authorization Failures |
| SSL/TLS handshake error, certificate rejected | TLS and Certificate Errors |
| API key rejected, expired, or ineffective | API Key Issues |
| Role mapping not granting expected roles | Role Mapping Issues |
| Kibana login broken, redirect loop, CORS error | Kibana Authentication Issues |
| All users locked out, paid features disabled | License Expiry Recovery |
Each section follows a Gather - Diagnose - Resolve pattern.
Diagnostic Toolkit
Use these APIs at the start of any security investigation:
curl <auth_flags> "${ELASTICSEARCH_URL}/_security/_authenticate"
Confirms identity, realm, and roles. If this fails with 401, the problem is authentication.
curl <auth_flags> "${ELASTICSEARCH_URL}/_xpack"
Confirms whether security is enabled (features.security.enabled). If security is disabled, all security APIs return
errors.
curl -X POST "${ELASTICSEARCH_URL}/_security/user/_has_privileges" \
<auth_flags> \
-H "Content-Type: application/json" \
-d '{
"index": [
{ "names": ["'"${INDEX_PATTERN}"'"], "privileges": ["read"] }
]
}'
Tests whether the authenticated user holds specific privileges without requiring manage_security.
curl <auth_flags> "${ELASTICSEARCH_URL}/_license"
Check license type and status. An expired paid license disables paid realms and features.
Authentication Failures (401)
A 401 response means Elasticsearch could not verify the caller's identity.
Gather
curl -v <auth_flags> "${ELASTICSEARCH_URL}/_security/_authenticate" 2>&1
The -v flag shows headers and the response body. Look for:
WWW-Authenticateheader — indicates which auth schemes the cluster accepts.authentication_exceptionin the response body — thereasonfield describes what failed.
Diagnose
| Symptom | Likely cause |
|---|---|
unable to authenticate user |
Wrong username or password |
unable to authenticate with provided credentials |
Credentials do not match any realm in the chain |
user is not enabled |
The native user account is disabled |
token is expired |
API key or bearer token has expired |
No WWW-Authenticate header |
Security may be disabled; check GET /_xpack |
If the user authenticates via an external realm (LDAP, AD, SAML, OIDC), the realm chain order matters. Elasticsearch tries realms in configured order and stops at the first match. If a higher-priority realm rejects the credentials before the intended realm is reached, authentication fails.
Resolve
| Cause | Action |
|---|---|
| Wrong credentials | Verify username/password or API key value. See elasticsearch-authn. |
| Disabled user | PUT /_security/user/{name}/_enable. See elasticsearch-authz. |
| Expired API key | Create a new API key. See API Key Issues. |
| Realm chain order | Check elasticsearch.yml realm order (self-managed only). |
| Security disabled | Enable xpack.security.enabled: true in elasticsearch.yml and restart. |
| Paid realm after expiry | License expired — see License Expiry Recovery. |
Authorization Failures (403)
A 403 response means the user is authenticated but lacks the required privileges.
Gather
Test the specific privileges the operation requires:
curl -X POST "${ELASTICSEARCH_URL}/_security/user/_has_privileges" \
<auth_flags> \
-H "Content-Type: application/json" \
-d '{
"index": [
{ "names": ["logs-*"], "privileges": ["read", "view_index_metadata"] }
],
"cluster": ["monitor"]
}'
The response contains a has_all_requested boolean and per-resource breakdowns.
Also check the user's effective roles:
curl <auth_flags> "${ELASTICSEARCH_URL}/_security/_authenticate"
Inspect the roles array and authentication_realm to confirm the user is who you expect.
Diagnose
| Symptom | Likely cause |
|---|---|
has_all_requested: false for an index |
Role is missing the required index privilege |
has_all_requested: false for a cluster |
Role is missing the required cluster privilege |
| User has fewer roles than expected | Roles array was replaced (not merged) on last update |
| API key returns 403 on previously allowed | API key privileges are a snapshot — role changes after |
| operation | creation do not propagate to existing keys |
Resolve
| Cause | Action |
|---|---|
| Missing index privilege | Add the privilege to the role or create a new role. See elasticsearch-authz. |
| Missing cluster privilege | Add the cluster privilege. See elasticsearch-authz. |
| Roles replaced on update | Fetch current roles first, then update with the full array. See elasticsearch-authz. |
| Stale API key privileges | Create a new API key with updated role_descriptors. See elasticsearch-authn. |
TLS and Certificate Errors
TLS errors prevent the client from establishing a connection at all.
Gather
curl -v --cacert "${CA_CERT}" "https://${ELASTICSEARCH_HOST}:9200/" 2>&1 | head -30
Look for:
SSL certificate problem: unable to get local issuer certificate— CA not trusted.SSL certificate problem: certificate has expired— certificate past its validity date.SSL: no alternative certificate subject name matches target host name— hostname mismatch.
For deeper inspection (self-managed only):
openssl s_client -connect "${ELASTICSEARCH_HOST}:9200" -showcerts </dev/null 2>&1
This displays the full certificate chain, expiry dates, and subject alternative names.
Diagnose
| Error message | Likely cause |
|---|---|
unable to get local issuer certificate |
Missing or wrong CA certificate |
certificate has expired |
Server or CA certificate past expiry |
no alternative certificate subject name matches |
Certificate SAN does not include the hostname |
self-signed certificate |
Self-signed cert not in the trust store |
SSLHandshakeException (Java client) |
Truststore missing the CA or wrong password |
Resolve
| Cause | Action |
|---|---|
| Wrong CA cert | Pass the correct CA with --cacert or add it to the system trust store. |
| Expired certificate | Regenerate certificates with elasticsearch-certutil (self-managed). |
| Hostname mismatch | Regenerate the certificate with the correct SAN entries. |
| Self-signed cert | Distribute the CA cert to all clients or use a publicly trusted CA. |
| Quick workaround | Use curl -k / --insecure to skip verification. Not for production. |
On ECH, TLS is managed by Elastic — certificate errors usually indicate the client is not using the correct Cloud endpoint URL. On Serverless, TLS is fully managed and transparent.
API Key Issues
Gather
Retrieve the key's metadata:
curl "${ELASTICSEARCH_URL}/_security/api_key?name=${KEY_NAME}" <auth_flags>
Check expiration, invalidated, and role_descriptors in the response.
Diagnose
| Symptom | Likely cause |
|---|---|
| 401 when using the key | Key expired or invalidated |
| 403 on operations that should be allowed | Key was created with insufficient role_descriptors |
| Derived key has no access | API key created another API key — derived keys have no privilege |
| Key works for some indices but not others | role_descriptors scope is too narrow |
Resolve
| Cause | Action |
|---|---|
| Expired key | Create a new key with appropriate expiration. See elasticsearch-authn. |
| Invalidated key | Create a new key. Invalidated keys cannot be reinstated. |
| Wrong scope | Create a new key with correct role_descriptors. See elasticsearch-authn. |
| Derived key problem | Use POST /_security/api_key/grant with user credentials instead. See elasticsearch-authn. |
Role Mapping Issues
Role mappings grant roles to users from external realms. When they fail silently, users authenticate but get no roles.
Gather
curl <auth_flags> "${ELASTICSEARCH_URL}/_security/_authenticate"
Note the username, authentication_realm.name, and roles array.
curl <auth_flags> "${ELASTICSEARCH_URL}/_security/role_mapping"
List all mappings and inspect their rules and enabled fields.
Diagnose
| Symptom | Likely cause |
|---|---|
User has empty roles array |
No mapping matches the user's attributes |
| User gets wrong roles | A different mapping matched first or the rule is too broad |
| Mapping exists but does not apply | enabled is false |
| Mustache template produces wrong role name | Template syntax error or unexpected attribute value |
Compare the user's authentication_realm.name and groups (from _authenticate) against each mapping's rules to
find the mismatch.
Resolve
| Cause | Action |
|---|---|
| No matching rule | Update the mapping rules to match the user's realm and attributes. |
| Mapping disabled | Set "enabled": true on the mapping. |
| Template error | Test the Mustache template with known attribute values. See elasticsearch-authz. |
| Rule too broad | Add all / except conditions to narrow the match. See elasticsearch-authz. |
Kibana Authentication Issues
Missing kbn-xsrf header
All mutating Kibana API requests require the kbn-xsrf header:
curl -X PUT "${KIBANA_URL}/api/security/role/my-role" \
<auth_flags> \
-H "kbn-xsrf: true" \
-H "Content-Type: application/json" \
-d '{ ... }'
Without it, Kibana returns 400 Bad Request with "Request must contain a kbn-xsrf header".
SAML/OIDC redirect loop
Common causes:
- Incorrect
xpack.security.authc.realms.saml.*.sp.acsoridp.metadata.pathinelasticsearch.yml. - Clock skew between the IdP and Elasticsearch nodes (SAML assertions have a validity window).
- Kibana
server.publicBaseUrldoes not match the SAML ACS URL.
Verify the SAML realm configuration:
curl <auth_flags> "${ELASTICSEARCH_URL}/_security/_authenticate"
If this returns a valid user via a non-SAML realm, the SAML realm itself is not being reached. Check realm chain order.
Kibana cannot reach Elasticsearch
Kibana logs Unable to retrieve version information from Elasticsearch nodes. Verify the elasticsearch.hosts setting
in kibana.yml points to a reac
How to use elasticsearch-security-troubleshooting on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add elasticsearch-security-troubleshooting
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches elasticsearch-security-troubleshooting from GitHub repository elastic/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate elasticsearch-security-troubleshooting. Access the skill through slash commands (e.g., /elasticsearch-security-troubleshooting) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★75 reviews- ★★★★★Amelia Huang· Dec 20, 2024
Registry listing for elasticsearch-security-troubleshooting matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kofi Tandon· Dec 16, 2024
Useful defaults in elasticsearch-security-troubleshooting — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Noah Farah· Dec 12, 2024
Keeps context tight: elasticsearch-security-troubleshooting is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sophia Torres· Dec 12, 2024
We added elasticsearch-security-troubleshooting from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Daniel Liu· Dec 8, 2024
I recommend elasticsearch-security-troubleshooting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anaya Agarwal· Nov 11, 2024
elasticsearch-security-troubleshooting reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Daniel Park· Nov 7, 2024
elasticsearch-security-troubleshooting is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kofi Martinez· Nov 3, 2024
elasticsearch-security-troubleshooting has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sophia Harris· Nov 3, 2024
elasticsearch-security-troubleshooting fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Daniel Thompson· Oct 26, 2024
elasticsearch-security-troubleshooting reduced setup friction for our internal harness; good balance of opinion and flexibility.
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