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PatchSiren cyber security CVE debrief

CVE-2026-65842 udecode CVE debrief

CVE-2026-65842 debrief based on the supplied source corpus. The Plate rich-text editor, specifically the @platejs/docx-io library, is vulnerable to server-side request forgery with response disclosure. This issue allows attackers to make requests to internal network resources and include the fetched image bytes in the generated DOCX, potentially leading to server-side request forgery with response disclosure and resource consumption from attacker-selected remote responses. Defenders responsible for the Plate rich-text editor deployment should assess exposure and apply the patch.

Vendor
udecode
Product
plate
CVSS
HIGH 8.2
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-20
Original CVE updated
2026-09-16
Advisory published
2026-08-20
Advisory updated
2026-09-16

Who should care

Defenders responsible for the Plate rich-text editor deployment, particularly those managing server-side environments, should assess exposure and apply the patch. They should also review internal network resources for potential exposure and monitor for potential server-side request forgery attacks.

Why it matters

CVE-2026-65842 allows server-side request forgery with response disclosure in the Plate rich-text editor, impacting defenders managing server-side environments.

  • Server-side request forgery with response disclosure.
  • Potential resource consumption from attacker-selected remote responses.
  • Verification of internal network resource exposure.
  • Patch application priority to prevent exploitation.

Technical summary

The @platejs/docx-io library fetches remote image URLs while converting attacker-controlled HTML, allowing server-side request forgery with response disclosure. This issue allows attackers to make requests to internal network resources and include the fetched image bytes in the generated DOCX, potentially leading to server-side request forgery with response disclosure and resource consumption from attacker-selected remote responses. The vulnerability is fixed in version 53.3.2 of the Plate rich-text editor. Applications can also incur resource consumption from attacker-selected remote responses.

Defensive priority

Defenders should prioritize verifying exposure and applying the patch, as the vulnerability allows server-side request forgery with response disclosure.

Recommended defensive actions

  • Verify if the application is using a vulnerable version of the Plate rich-text editor.
  • Apply the patch to upgrade to version 53.3.2 or later.
  • Monitor for potential server-side request forgery attacks.
  • Review internal network resources for potential exposure.
  • Track exceptions and retest remediated assets.
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review.
  • technicalSummary

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, which is fixed in version 53.3.2 of the Plate rich-text editor. The vulnerability allows server-side request forgery with response disclosure and potential resource consumption from attacker-selected remote responses. The @platejs/docx-io library fetches remote image URLs while converting attacker-controlled HTML, allowing server-side request forgery with response disclosure. Applications can also incur resource consumption from attacker-selected remote responses. This

Sources and references

Verified primary and authoritative sources

  • CVE-2026-65842 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-65842

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

  • CVE-2026-65842 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-65842

    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.