CVE-2026-33083
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:H/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:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-33083 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 26th 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-2026-33083 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 orderDirection parameter used by dataset-related endpoints, such as /de2api/datasetData/enumValueDs and /de2api/datasetTree/exportDataset. The Order2SQLObj class directly incorporates the raw user-supplied orderDirection value into SQL queries without validation or whitelisting, rendering it into the ORDER BY clause via StringTemplate before database execution. This CWE-89 issue carries 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 low privileges can exploit this vulnerability remotely over the network with low complexity and no user interaction required. By manipulating the sorting direction field, they can inject arbitrary SQL commands, facilitating time-based blind data extraction from the database or denial-of-service attacks through resource-intensive queries.
The vulnerability has been addressed in DataEase version 2.10.21, as detailed in the project's GitHub release notes and security advisory GHSA-f443-95cf-m837. Security practitioners should upgrade to the patched version and review access controls on dataset endpoints to mitigate exposure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-23282
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 orderDirection parameter used in dataset-related endpoints including /de2api/datasetData/enumValueDs and /de2api/datasetTree/exportDataset. The Order2SQLObj class directly assigns the raw user-supplied orderDirection value…
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into the SQL query without any validation or whitelist enforcement, and the value is rendered into the ORDER BY clause via StringTemplate before being executed against the database. An authenticated attacker can inject arbitrary SQL commands through the sorting direction field, enabling time-based blind data extraction and denial of service. 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.
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.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.