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-2026-33122 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 34th 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-2026-33122 is a SQL injection vulnerability (CWE-89) affecting DataEase, an open-source data visualization and analytics platform, in versions 2.10.20 and prior. The flaw exists in the API datasource update process at the /de2api/datasource/update endpoint, where the user-supplied deTableName field from the configuration is passed unsanitized to DatasourceSyncManage.createEngineTable. This field is directly substituted into a CREATE TABLE statement template without sanitization or identifier escaping, allowing injection of arbitrary SQL commands. The vulnerability carries a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).
An authenticated attacker can exploit this issue by crafting a malicious deTableName value that breaks out of identifier quoting during a datasource update that adds a new table definition. This enables error-based SQL injection, allowing the attacker to extract sensitive database information. Despite the CVSS score indicating no privileges required (PR:N), the vulnerability description specifies exploitation by an authenticated user.
The issue has been addressed in DataEase version 2.10.21. Security practitioners should upgrade to this patched version immediately. Additional details are available in the official GitHub security advisory (GHSA-28vg-3hv7-w92f) and the release notes for v2.10.21.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-23290
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 API datasource update process. When a new table definition is added during a datasource update via /de2api/datasource/update, the deTableName field…
more
from the user-submitted configuration is passed to DatasourceSyncManage.createEngineTable, where it is substituted into a CREATE TABLE statement template without any sanitization or identifier escaping. An authenticated attacker can inject arbitrary SQL commands by crafting a deTableName that breaks out of identifier quoting, enabling error-based SQL injection that can extract 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
—
—
—
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.