SQL InjectionWeakness · CWE-89

CVE-2026-40838

MEDIUM · 6.5 CVSS v3.1 Published 2026-05-27
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
71/100
Remediation priority · Elevated
Remotely reachable Zero-click

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 · unedited
An low privileged remote attacker can exploit an unauthenticated SQL Injection vulnerability in the getDeviceScalings function due to improper neutralization of special elements in a SQL SELECT command. This can result in a total loss of confidentiality.

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 confidence

A SQL injection vulnerability exists in the getDeviceScalings function where user-supplied input is not properly sanitized before being used in a SQL SELECT query. An unauthenticated remote attacker can inject malicious SQL commands to extract sensitive data from the database, resulting in total loss of confidentiality.

MitigationReplace dynamic SQL queries with parameterized queries or prepared statements in the getDeviceScalings function to prevent SQL injection. Alternatively, implement input validation and use stored procedures with parameterized inputs.

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
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

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 checks

Work through these to decide whether this CVE applies to you.

  1. Identify software containing getDeviceScalings function
    Search your codebase or application deployment for files containing the string 'getDeviceScalings'. This may be in source code, compiled binaries, or libraries. Note the exact product name and version if found.
    Affected if The software in use contains a getDeviceScalings function that processes user input into SQL queries
  2. Check application version
    Determine the installed version of the identified product. Compare against any version information you can obtain. There is no public CPE data for this CVE, so treat any version with the getDeviceScalings function as potentially affected unless the vendor has confirmed otherwise.
    Affected if The installed version includes the getDeviceScalings function
  3. Inspect getDeviceScalings for dynamic SQL
    Examine the source code or decompiled code of the getDeviceScalings function. Look for SQL query construction that concatenates or embeds user-supplied parameters directly into the query string (for example, using string concatenation or string formatting to build SELECT statements).
    Affected if The function builds SQL queries using string concatenation or interpolation with user input rather than parameterized queries or prepared statements
  4. Verify user input reaches the function
    Trace the data flow from HTTP requests, API inputs, or other user-facing interfaces to the getDeviceScalings function call. Determine whether parameters like device identifiers, scaling values, or similar inputs are passed directly to the SQL query without sanitization.
    Affected if User-supplied parameters from external requests flow into the getDeviceScalings function without input validation or parameterization
  5. Monitor database for anomalous SQL patterns
    Review database query logs or enable SQL statement logging. Look for unusual SELECT statements within or near the getDeviceScalings context that contain SQL operators like UNION, Boolean conditions (AND/OR), or comment syntax that may indicate injection attempts.
    Affected if Database logs show SQL queries with unexpected operators or syntax that suggest injection has occurred

Your environment is affected if the software in use contains the getDeviceScalings function that constructs SQL queries using unsanitized user input from external sources.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

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.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Replace dynamic SQL queries with parameterized queries or prepared statements in the getDeviceScalings function to prevent SQL injection. Alternatively, implement input validation and use stored procedures with parameterized inputs.

Have this fixed Scoped from the published advisory
  • Consultation2.0 h
  • Implementation4.0 h
  • Testing3.0 h
  • Review / QA2.0 h
11.0 hours of engineering $1,930
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-40838 in production — separate from our analysis above.

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
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  • Version or environment caveats, and links to real fixes
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