CVE-2026-40900
SQLi in Dataease ≤ 2.10.21
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2026-40900 is a high-severity SQL Injection (CWE-89) vulnerability in Dataease Dataease. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 27th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-40900 is a SQL injection vulnerability affecting DataEase, an open-source data visualization and analytics platform, in versions 2.10.20 and prior. The flaw resides in the /de2api/datasetData/previewSql endpoint, where user-supplied SQL input is wrapped in a subquery without validation to ensure it is a single SELECT statement. This issue is exacerbated by a JDBC blocklist bypass that enables allowMultiQueries=true, allowing attackers to escape the subquery and execute arbitrary stacked SQL statements, including UPDATE and other write operations, against the connected database. The vulnerability is classified under CWE-89 with a CVSS v3.1 base score of 8.8 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).
An authenticated attacker with access to valid datasource credentials can exploit this vulnerability remotely over the network with low complexity and no user interaction required. Successful exploitation grants full read and write access to the underlying database, enabling data exfiltration, modification, or destruction depending on database permissions.
The issue has been addressed in DataEase version 2.10.21, as detailed in the project's GitHub release notes and security advisory GHSA-vqxf-84ph-j3vx. Security practitioners should upgrade to the patched version and review access controls for datasource credentials to mitigate risks.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-23308
Vulnerability Data
DataEase is an open-source data visualization and analytics platform. Versions 2.10.20 and below contain a SQL injection vulnerability in the /de2api/datasetData/previewSql endpoint. The user-supplied SQL is wrapped in a subquery without validation that the input is a single SELECT statement.…
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Combined with the JDBC blocklist bypass that allows enabling allowMultiQueries=true, an attacker can break out of the subquery and execute arbitrary stacked SQL statements, including UPDATE and other write operations, against the connected database. An authenticated attacker with access to valid datasource credentials can achieve full read and write access to the underlying database. This issue has been fixed in version 2.10.21.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
Input validation directly stops untrusted data from reaching SQL query construction without neutralization.
Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.
System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.