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PatchSiren cyber security CVE debrief

CVE-2016-20027 ZKTeco Inc. CVE debrief

CVE-2016-20027 is a reflected cross-site scripting (XSS) vulnerability in ZKTeco ZKBioSecurity 3.0. The vulnerability allows attackers to execute arbitrary HTML and script code by injecting malicious payloads through unsanitized parameters in multiple scripts. Attackers can craft malicious URLs with XSS payloads in vulnerable parameters to execute scripts in a user's browser session within the context of the affected application.

Vendor
ZKTeco Inc.
Product
ZKTeco ZKBioSecurity
CVSS
MEDIUM 5.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-03-16
Original CVE updated
2026-06-08
Advisory published
2026-03-16
Advisory updated
2026-06-08

Who should care

Users of ZKTeco ZKBioSecurity 3.0 should apply patches or mitigations to prevent exploitation of this vulnerability.

Technical summary

The vulnerability has a CVSS score of 5.1 and a severity of MEDIUM. It was published on {cvePublishedAt} and last modified on {cveModifiedAt}.

Defensive priority

MEDIUM

Recommended defensive actions

  • Apply patches or updates provided by the vendor to fix the reflected XSS vulnerabilities.
  • Implement input validation and output encoding to prevent injection of malicious payloads.
  • Use a web application firewall (WAF) to detect and prevent XSS attacks.

Evidence notes

The CVE record was obtained from {resourceLinkAnnotations.cve-org}. Additional information was obtained from {resourceLinkAnnotations.nvd}.

Sources and references

Verified primary and authoritative sources

  • CVE-2016-20027 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2016-20027

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2016-20027 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2016-20027

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.