Attendance ManagerWordPress extension · Sukimalab
CVE-2019-5970
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 · uneditedCross-site scripting vulnerability in Attendance Manager 0.5.6 and earlier allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.
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 confidenceCross-site scripting (XSS) vulnerability in Attendance Manager versions 0.5.6 and earlier allows unauthenticated remote attackers to inject arbitrary JavaScript or HTML into web pages served by the application. This occurs due to insufficient input sanitization or output encoding of user-supplied data, enabling script execution in the context of other users' browsers.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data
Attendance ManagerWordPress extension
<= 0.5.6CVSS 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
- None
- User interaction
- Required
- Scope
- Changed
- Confidentiality
- Low
- Integrity
- Low
- Availability
- None
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/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 checksWork through these to decide whether this CVE applies to you.
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Locate Sukimalab Attendance Manager installationSearch for the Attendance Manager application directory or service on the system. Common locations include web server document roots (e.g., /var/www/, C:\inetpub\wwwroot\) or application-specific directories. Check running services or web server configurations for the application.Affected if The application is found and running as a web service
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Identify installed versionLocate version information within the application files. Common locations include: a version.php or version.txt file in the root directory, a config file, an 'about' page accessible via the web interface, or the application source code headers. Compare this version number against the affected range (<= 0.5.6).Affected if The installed version is 0.5.6 or any earlier version (e.g., 0.5.5, 0.5.0, etc.)
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Verify web interface is accessibleConfirm the Attendance Manager web interface is reachable over HTTP/HTTPS. Attempt to access the application's login page or main page using the configured URL or local host address.Affected if The web interface is accessible and responds to requests, indicating the vulnerable code is in use
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Confirm unauthenticated entry point existsIdentify if the application exposes unauthenticated endpoints or input fields (such as login forms, search fields, or user registration) where user-supplied data is processed and rendered back in HTML responses without proper encoding.Affected if The application accepts and reflects user input without authentication, which would allow the XSS flaw to be exploited
A user is affected if Sukimalab Attendance Manager version 0.5.6 or earlier is installed and its web interface is accessible, as this allows unauthenticated attackers to inject malicious scripts through unsanitized input fields.
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.
From vendor dataImplement context-aware output encoding for all user-supplied data before rendering in HTML, and apply input validation with allowlist filtering where feasible. Verify the availability of an official patch from the vendor.
Fix this in Attendance Manager
Scoped from the published advisory
- Consultation4.0 h
- Implementation8.0 h
- Testing6.0 h
- Review / QA4.0 h
An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $6,176.
Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2019-5970 — 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-2019-5970 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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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.
- 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
- No spam, self-promotion, credentials, or personal data