PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-49082 Chatway Live Chat CVE debrief

A high-severity vulnerability (CVSS Score: 7.4) was discovered in the Chatway Live Chat plugin, version 1.4.8 and earlier. This vulnerability, identified as CVE-2026-49082, allows for subscriber sensitive data exposure. The issue arises from inadequate protection of sensitive information, potentially leading to unauthorized access and disclosure of subscriber data.

Vendor
Chatway Live Chat
Product
Chatway Live Chat – AI Chatbot, Customer Support, FAQ & Helpdesk Customer Service & Chat Buttons
CVSS
HIGH 7.4
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-15
Original CVE updated
2026-06-15
Advisory published
2026-06-15
Advisory updated
2026-06-15

Who should care

Administrators and users of the Chatway Live Chat plugin, version 1.4.8 and earlier, should be aware of this vulnerability and take necessary actions to mitigate the risk.

Technical summary

The vulnerability has been categorized under CWE-201. The CVSS vector for this vulnerability is CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:L.

Defensive priority

HIGH

Recommended defensive actions

  • Update the Chatway Live Chat plugin to a version that addresses this vulnerability.
  • Review and restrict access to sensitive information within the plugin's configuration.

Evidence notes

Evidence suggests that this vulnerability was discovered and reported through Patchstack.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-49082 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-49082

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

  • CVE-2026-49082 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-49082

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

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.