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CVE-2026-34694 Adobe CVE debrief

CVE-2026-34694 is a stored Cross-Site Scripting (XSS) vulnerability affecting Adobe Experience Manager Forms JEE versions LTS SP1, 6.5.24.0 and earlier. A high-privileged attacker could abuse this vulnerability to inject malicious scripts into vulnerable form fields. Malicious JavaScript may be executed in a victim's browser when they browse to the page containing the vulnerable field.

Vendor
Adobe
Product
Adobe Experience Manager Forms JEE
CVSS
MEDIUM 4.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-09
Original CVE updated
2026-08-28
Advisory published
2026-06-09
Advisory updated
2026-08-28

Who should care

Users of Adobe Experience Manager Forms JEE versions LTS SP1, 6.5.24.0 and earlier should apply patches or mitigations to prevent exploitation.

Technical summary

The vulnerability has a CVSS score of 5.9 and a CVSS severity of MEDIUM. The CVSS vector is CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:L. The weakness is classified as CWE-79.

Defensive priority

MEDIUM

Recommended defensive actions

  • Apply patches or mitigations provided by Adobe.
  • Restrict access to vulnerable form fields to high-privileged users only.
  • Implement input validation and output encoding to prevent XSS attacks.

Evidence notes

The vulnerability was published on 2026-06-09T18:16:40.023Z and modified on 2026-06-11T17:17:40.090Z.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-34694 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-34694

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

  • CVE-2026-34694 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-34694

    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.