CVE-2026-45320
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedDataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase dashboard SQL variables such as ${deptId} are processed by SqlparserUtils.transFilter(), whose final branch returns raw user input for non-in and non-between operators before SubstitutedSql.replace("${var}", value) splices it into dashboard SQL, allowing authenticated users who can view a dashboard to inject SQL against integrated datasources. This issue is fixed in version 2.10.23
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · high confidenceIn DataEase before version 2.10.23, dashboard SQL variables like ${deptId} are processed by SqlparserUtils.transFilter(), which has a code path that returns raw user input for non-IN and non-BETWEEN operators. This unsanitized input is then spliced directly into dashboard SQL queries via SubstitutedSql.replace(), allowing authenticated users who can view dashboards to perform SQL injection attacks against integrated datasources.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- Low
- Authentication
- X
- User interaction
- None
- Scope
- X
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:X
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Identify DataEase versionCheck the installed DataEase version by accessing the admin panel, checking the build metadata, or running: docker images | grep dataease (for containerized deployments). Compare against version 2.10.23.Affected if The installed version is prior to 2.10.23
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Locate dashboards using SQL variablesReview dashboard configurations for the presence of SQL variable syntax such as ${deptId}, ${userId}, or other ${variableName} patterns used in SQL queries.Affected if Dashboards contain SQL variables that reference user-controlled or dynamic values
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Identify non-IN and non-BETWEEN operators in variable usageInspect dashboard SQL queries that use variables and check if the variable is used with operators other than IN or BETWEEN (for example: =, <>, >, <, LIKE, etc.).Affected if SQL variables are used with operators other than IN or BETWEEN, allowing raw input to be spliced into queries
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Verify authentication requirements for dashboardsCheck the access control settings for dashboards that use SQL variables. Determine if unauthenticated or low-privilege users can view these dashboards.Affected if Authenticated users with limited privileges can view dashboards containing vulnerable SQL variable patterns
You are affected if running DataEase version prior to 2.10.23 AND you have dashboards using SQL variables with non-IN/BETWEEN operators accessible to authenticated users.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scopedUpgrade DataEase to version 2.10.23 or later. If immediate upgrade is not feasible, implement input validation and parameterized queries in SqlparserUtils.transFilter() to prevent raw user input from reaching SQL execution.
2.10.23
- 1. Backup the current DataEase installation and database
- 2. Download DataEase version 2.10.23 from the official GitHub repository releases
- 3. Stop the running DataEase service
- 4. Upgrade the installation following the standard DataEase upgrade procedure
- 5. Verify the upgrade was successful by checking the version number
- 6. Test that dashboard SQL variables function correctly after the upgrade
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation8.0 h
- Testing6.0 h
- Review / QA4.0 h
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Free · runs locallyCheck whether your project pulls in CVE-2026-45320 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2026-45320 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
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