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PatchSiren cyber security CVE debrief

CVE-2026-39583 Datalogics CVE debrief

CVE-2026-39583 is a critical vulnerability in Datalogics Ecommerce Delivery plugin versions <= 2.6.62. It allows unauthenticated attackers to escalate their privileges due to a lack of proper authentication mechanisms. The vulnerability has a CVSS score of 9.8, indicating a high severity level.

Vendor
Datalogics
Product
Datalogics Ecommerce Delivery
CVSS
CRITICAL 9.8
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 Datalogics Ecommerce Delivery plugin versions <= 2.6.62 should be aware of this vulnerability and take immediate action to mitigate the risk.

Technical summary

The vulnerability is caused by a lack of proper authentication mechanisms in the Datalogics Ecommerce Delivery plugin. This allows unauthenticated attackers to escalate their privileges, potentially leading to unauthorized access and control of the affected system.

Defensive priority

High

Recommended defensive actions

  • Update the Datalogics Ecommerce Delivery plugin to a version greater than 2.6.62.
  • Implement additional security measures, such as monitoring and logging, to detect and respond to potential attacks.

Evidence notes

The vulnerability was reported by Patchstack and is documented in the CVE-2026-39583 CVE record [cve-org].

Sources and references

Verified primary and authoritative sources

  • CVE-2026-39583 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-39583

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

  • CVE-2026-39583 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-39583

    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.