CVE-2026-33207
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:N/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-2026-33207 is a high-severity SQL Injection (CWE-89) vulnerability in Dataease Dataease. Its CVSS base score is 8.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 28th 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.
DataEase, an open-source data visualization and analytics platform, is affected by CVE-2026-33207, a SQL injection vulnerability in versions 2.10.20 and earlier. The issue resides in the /datasource/getTableField endpoint, where the getTableFiledSql method in CalciteProvider.java directly incorporates the user-supplied tableName parameter into SQL query strings via String.format without parameterization or sanitization. While DatasourceServer.java performs validation to ensure the table name exists in the datasource, this check can be bypassed.
An authenticated attacker with low privileges (PR:L) can exploit this vulnerability remotely (AV:N) with low complexity (AC:L) and no user interaction (UI:N). By first registering an API datasource containing a malicious deTableName—which is then enumerated by the getTables method and passes validation—the attacker can supply a crafted tableName to inject arbitrary SQL commands. This enables error-based extraction of sensitive database information, with high impacts on confidentiality, integrity, and availability (CVSS 8.8; C:H/I:H/A:H; CWE-89).
The vulnerability has been addressed in DataEase version 2.10.21, as detailed in the project's GitHub release notes and security advisory GHSA-pgh3-rgw3-xjmm. Security practitioners should upgrade to the patched version and review configurations for API datasources to mitigate exposure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-23291
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 /datasource/getTableField endpoint. The getTableFiledSql method in CalciteProvider.java incorporates the tableName parameter directly into SQL query strings using String.format without parameterization…
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or sanitization. Although DatasourceServer.java validates that the table name exists in the datasource, an attacker can bypass this by first registering an API datasource with a malicious deTableName, which is then returned by getTables and passes the validation check. An authenticated attacker can execute arbitrary SQL commands, enabling error-based extraction of sensitive database information. 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.