SQL InjectionWeakness · CWE-89

CVE-2025-28873

HIGH · 8.5 CVSS v3.1 Published 2025-03-26
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
91/100
Remediation priority · Urgent
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
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Scott Taylor Shuffle shuffle allows Blind SQL Injection.This issue affects Shuffle: from n/a through <= 0.5.

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 · moderate confidence

A blind SQL injection vulnerability exists in the Shuffle component of Scott Taylor. Attackers can inject malicious SQL commands through unsanitized input parameters, potentially allowing unauthorized database access, data exfiltration, or manipulation. The vulnerability affects all versions up to and including 0.5.

MitigationUpgrade to a version beyond 0.5 that patches this vulnerability. Alternatively, implement proper input validation and use parameterized queries (prepared statements) to neutralize SQL injection vectors.

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
Changed
Confidentiality
High
Integrity
None
Availability
Low

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

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. Locate the Shuffle component
    Search your codebase, dependencies, or installed packages for a component named 'Shuffle' authored by Scott Taylor. Check your package.json, Gemfile, requirements.txt, or similar dependency manifests.
    Affected if The Shuffle component by Scott Taylor is present in your project dependencies or codebase.
  2. Determine the installed version
    Check the version of the Shuffle component in your dependency lock file (package-lock.json, Gemfile.lock, Pipfile.lock) or by running a package manager command like 'npm list shuffle', 'gem list shuffle', or 'pip show shuffle'.
    Affected if The installed version is 0.5 or lower.
  3. Identify input handling in Shuffle
    Review the source code of the Shuffle component to identify where user-supplied input is accepted. Look for functions, methods, or API endpoints that accept query parameters, form inputs, or request body data.
    Affected if User input is passed to the Shuffle component without sanitization or parameterization.
  4. Verify SQL query construction
    Examine the Shuffle component code for direct string concatenation or unsanitized interpolation of user input into SQL queries. Look for patterns like 'SELECT * FROM ' + user_input or similar unsafe query building.
    Affected if SQL queries are constructed using string concatenation or interpolation with user-provided data rather than parameterized queries.

Your environment is affected if the Shuffle component by Scott Taylor version 0.5 or lower is present and user input can reach SQL query construction without sanitization or prepared statements.

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

Upgrade to a version beyond 0.5 that patches this vulnerability. Alternatively, implement proper input validation and use parameterized queries (prepared statements) to neutralize SQL injection vectors.

Have this fixed Scoped from the published advisory
  • Consultation3.0 h
  • Implementation6.0 h
  • Testing4.0 h
  • Review / QA2.0 h
15.0 hours of engineering $2,640
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Scan for this in your stack

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dbcve dependency scanner

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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-2025-28873 in production — separate from our analysis above.

No notes yet

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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
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
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