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MEDIUM severity

Generation of Error Message Containing Sensitive Information in ElasticsearchGHSA-q394-h7f5-7f44

MEDIUM

GHSA-q394-h7f5-7f44 is a medium-severity (CVSS 6.5) Information Exposure vulnerability in org.elasticsearch.client:elasticsearch-rest-client. 3 public exploit or proof-of-concept references are indexed, so weaponization risk is real. A fix is available for org.elasticsearch.client:elasticsearch-rest-client — see the affected versions and patch details below.

Also known asBIT-elasticsearch-2021-22145CVE-2021-22145
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
3 known
Exploitation data as of Nov 8, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
76.2%probability of exploitation in next 30 days
Very High Risk0.00%
Lower risk than most CVEs100th percentile — riskier than 100% of all scored CVEsHighest risk
65.4%69.9%74.3%78.7%67.9%76.2%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

1 pkg affected
☕org.elasticsearch.client:elasticsearch-rest-client

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects Maven packages — download data is not available via public APIs for these ecosystems.

Description

A memory disclosure vulnerability was identified in Elasticsearch 7.10.0 to 7.13.3 error reporting. A user with the ability to submit arbitrary queries to Elasticsearch could submit a malformed query that would result in an error message returned containing previously used portions of a data buffer. This buffer could contain sensitive information such as Elasticsearch documents or authentication details.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
☕Mavenorg.elasticsearch.client:elasticsearch-rest-client≥ 7.10.0&&< 7.13.47.13.4org.elasticsearch.client:elasticsearch-rest-client:7.13.4

Affected Products

2 products · 2 configurations
Application
elasticsearchelastic
≥ 7.10.0 && ≤ 7.13.3
range
Application
communications cloud native core automated test suiteoracle
1 version
1.8.0
Exploits & PoCs
3

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

EDB-50149webappsmultiple

ElasticSearch 7.13.3 - Memory disclosure

by r0ny · Jul 23, 2021

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for org.elasticsearch.client:elasticsearch-rest-client, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update org.elasticsearch.client:elasticsearch-rest-client to 7.13.4 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-q394-h7f5-7f44 is resolved across your whole dependency graph.

  3. Workarounds

    Assume what was exposed is already known: rotate any credential, token or key that the affected component could return, restrict the endpoint to callers that genuinely need it, and strip sensitive fields from responses and error output at the boundary rather than relying on the client not to read them.

How to detect GHSA-q394-h7f5-7f44

A community-maintained Nuclei template exists for this CVE. You can scan for it directly:

nuclei -id ghsa-q394-h7f5-7f44 -u https://target
Template
Elasticsearch 7.10.0-7.13.3 - Information Disclosure
Severity
medium
Impact
An attacker can exploit this vulnerability to gain unauthorized access to sensitive information.
Remediation
Upgrade Elasticsearch to a version that is not affected by CVE-2021-22145.

Template by ProjectDiscovery nuclei-templates (dhiyaneshDk), MIT licensed. View the full template. Scan only systems you are authorised to test.

Frequently Asked Questions

A memory disclosure vulnerability was identified in Elasticsearch 7.10.0 to 7.13.3 error reporting. A user with the ability to submit arbitrary queries to Elasticsearch could submit a malformed query that would result in an error message returned containing previously used portions of a data buffer. This buffer could contain sensitive information such as Elasticsearch documents or authentication details.
O3 Security · Impact-Aware SCA

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