CVE-2026-54658: Critical SQL Injection in Hypequery

How to Detect It

Detection should focus on two areas: vulnerable package presence and signs of abnormal ClickHouse query activity. First, identify whether @hypequery/clickhouse versions earlier than 2.0.2 are present anywhere in your build or runtime environment. That is your exposure baseline.

Second, inspect application and database logs for unexpected quote-breaking patterns, trailing backslashes in parameter values, and sudden changes in query shape. Because the root cause involves malformed escaping around backslashes and single quotes, suspicious payloads may include combinations such as \\', trailing \, or user input that appears to terminate a string unexpectedly. There is no single guaranteed indicator, but anomalies in generated SQL are often visible in application debug logs, reverse proxy logs, or ClickHouse query logs if enabled.

If your environment logs normalized or final SQL statements, look for requests where a user-controlled field is followed by a quote escape anomaly, appended conditions, or extra SQL tokens. Pay particular attention to analytics endpoints that accept freeform filters, report builders, and API parameters with unexpectedly high error rates or query failures around the disclosure window.

Technical Notes

Search application logs for suspicious input patterns related to trailing backslashes and broken quoting:

grep -R -E "\\'$|\\$|'.*(OR|UNION|SELECT|INSERT|DROP|--)" /var/log/app/*.log

Example Sigma-like detection idea for web or API logs capturing suspicious parameter values:

title: Possible Hypequery ClickHouse SQL Injection Attempt
logsource:
  category: webserver
detection:
  selection:
    cs-uri-query|contains:
      - "%5C"
      - "\\"
      - "%27"
      - "'"
  condition: selection
falsepositives:
  - Escaped user input in benign searches
level: medium

If ClickHouse query logging is enabled, look for unusual SQL fragments in executed statements:

SELECT
  event_time,
  user,
  query
FROM system.query_log
WHERE query ILIKE '%--%'
   OR query ILIKE '% union %'
   OR query ILIKE '% or %=%'
   OR query ILIKE '%\\''%
ORDER BY event_time DESC
LIMIT 100;

Inventory vulnerable package versions in CI or on hosts:

npm ls @hypequery/clickhouse 2>/dev/null | grep -E '@hypequery/clickhouse@'

Mitigation and Patching

The primary mitigation is to upgrade @hypequery/clickhouse to version 2.0.2 or later. The fixed version identified in the source material is 2.0.2, and the affected range is prior to 2.0.2. If you are on any earlier release, move off it as a priority.

After upgrading, validate that your lockfile and deployed artifacts actually resolved to the fixed version. In JavaScript and TypeScript environments, partial upgrades are common: package.json may be updated while a container image, CI cache, or monorepo workspace still ships an older lockfile resolution. Confirm at build time and in production where possible.

If you cannot patch immediately, reduce exposure by preventing untrusted input from reaching vulnerable query substitution paths. Practical workarounds include strict allowlisting for filter values, rejecting input containing trailing backslashes or dangerous metacharacter patterns, and temporarily disabling user-controlled reporting features that generate ClickHouse queries through Hypequery. These are stopgaps, not substitutes for upgrading.

You should also review the permissions of the ClickHouse account used by the affected application. Least privilege can reduce impact if exploitation occurs. For example, read-only analytics accounts are still serious exposure, but they are generally preferable to accounts with broad administrative or write capabilities.

Technical Notes

Upgrade directly with your package manager:

npm install @hypequery/clickhouse@2.0.2

yarn add @hypequery/clickhouse@2.0.2

pnpm add @hypequery/clickhouse@2.0.2

Then verify the installed version:

npm ls @hypequery/clickhouse

If you need a temporary input validation workaround in application code, an example defensive check could be:

function rejectDangerousInput(value: string) {
  if (value.endsWith("\\") || /['";]/.test(value)) {
    throw new Error("Rejected potentially unsafe query parameter");
  }
  return value;
}

This is only an interim control. It may break legitimate inputs and should not be treated as a full fix.

For CI enforcement, fail builds that resolve vulnerable versions:

node -e "const p=require('./package-lock.json'); const s=JSON.stringify(p); if(s.includes('@hypequery/clickhouse') && !s.includes('2.0.2')) { process.exit(1) }"

References

The primary authoritative reference is the NVD CVE record, which provides the vulnerability description, affected product, and fixed version. That description specifically states that escapeValue() failed to escape backslashes before single quotes during parameter substitution and that the issue is fixed in 2.0.2.

Upstream project references also matter because they point defenders to the remediation milestone and implementation change. The changelog, release entry, fix commit, and GitHub Security Advisory all support the conclusion that @hypequery/clickhouse version 2.0.2 is the corrective release. The CISA KEV lookup was negative in the supplied research, so there is no KEV confirmation of exploitation at the time of writing.

• NVD CVE record for CVE-2026-54658
• Hypequery project site: https://hypequery.com
• Changelog: https://github.com/hypequery/hypequery/blob/main/packages/clickhouse/CHANGELOG.md#202
• Fix commit: https://github.com/hypequery/hypequery/commit/4dfa9d77d70a08b970e722268b75ca7d13db0bdf
• Release: https://github.com/hypequery/hypequery/releases/tag/@hypequery/clickhouse@2.0.2
• GitHub Security Advisory: https://github.com/hypequery/hypequery/security/advisories/GHSA-6wcc-39rp-hh9p

In operational terms, this is a straightforward call: if you run @hypequery/clickhouse before 2.0.2, upgrade now, verify deployment state, and review any path where outside input can influence ClickHouse queries. Even without confirmed exploitation, the vulnerability class and public fix information make rapid remediation the prudent choice.

For further reading on related topics, check our articles on digital forensics on Linux and risk management in cybersecurity.

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