SQL Injection in DataEase (CVE-2026-104142)
Summary
SQL injection in DataEase (CVE-2026-104142). Risk of unauthorized operations or information disclosure.
Original description
The description as published by the source.
DataEase is an open source data visualization and analysis tool. Prior to 2.10.26, authenticated users can store crafted FieldGroupDTO.min, FieldGroupDTO.max, FieldGroupDTO.startTime, or FieldGroupDTO.endTime values in dataset group-field binning definitions. Utils.transGroupFieldToSql inserts these free-form values into generated CASE expressions without validation, and the resulting SQL can reach unparameterized backend query execution when a chart uses the field. This stored SQL injection can compromise the confidentiality, integrity, and availability of the configured backend database. This issue is fixed in version 2.10.26.
Source: NIST National Vulnerability Database NVD
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-104142 has been found in DataEase.
Risk of unauthorized operations or information disclosure.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "DataEase CVE-2026-104142" on the vendor's site.
CVE-2026-104142 (DataEase) — CWE-89
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
SQL injection (CWE-89) exists in DataEase.
Check the vendor advisory for the affected versions of DataEase.
Severity: ?. Risk of unauthorized operations or information disclosure.
Update to the patched release per vendor advisory.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'DataEase' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'DataEase' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
DataEaseを grep し、稼働しているサービス・バージョンを把握する。 -
2Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。