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CVE-2026-73037 DayuanJiang CVE debrief

CVE-2026-73037 is a reflected cross-site scripting vulnerability in Next AI Draw.io 0.2.1 through 0.4.16. The vulnerability occurs in the mcp query parameter, which is interpolated without escaping into HTML and JavaScript. This allows attackers to craft malicious URLs to execute arbitrary JavaScript in the localhost origin, enabling exfiltration of diagram sessions and API data.

Vendor
DayuanJiang
Product
next-ai-draw-io
CVSS
MEDIUM 5.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-13
Original CVE updated
2026-09-09
Advisory published
2026-08-13
Advisory updated
2026-09-09

Who should care

Defenders responsible for Next AI Draw.io instances, security teams, and developers should be aware of this vulnerability and take steps to verify exposure and implement mitigations.

Why it matters

CVE-2026-73037 is a reflected cross-site scripting vulnerability in Next AI Draw.io that allows attackers to execute arbitrary JavaScript in the localhost origin, enabling exfiltration of sensitive data. Defenders should prioritize verifying exposure and implementing mitigations.

  • Exfiltration of diagram sessions and API data may occur if this vulnerability is exploited.
  • Defenders should verify the presence of this vulnerability in their inventory of Next AI Draw.io instances.
  • Implementing input validation and output encoding can prevent cross-site scripting attacks.
  • Compensating controls, such as monitoring and incident response planning, may be necessary to mitigate potential impacts.

Technical summary

The vulnerability occurs in the mcp query parameter of Next AI Draw.io 0.2.1 through 0.4.16, allowing attackers to craft malicious URLs to execute arbitrary JavaScript in the localhost origin. This enables exfiltration of diagram sessions and API data. Defenders should prioritize verifying the presence of this vulnerability in their inventory of Next AI Draw.io instances and assess exposure to untrusted input. Implementing input validation and output encoding can prevent cross-site scripting attacks. Compensating controls, such as monitoring and incident response planning, may be necessary to mitigate potential impacts.

Defensive priority

Defenders should prioritize verifying the presence of this vulnerability in their inventory of Next AI Draw.io instances and assess exposure to untrusted input.

Recommended defensive actions

  • Verify the presence of Next AI Draw.io instances in your inventory and assess exposure to untrusted input.
  • Review and update Next AI Draw.io instances to ensure they are running a version outside of the vulnerable range, if available.
  • Implement input validation and output encoding to prevent cross-site scripting attacks.
  • Monitor Next AI Draw.io instances for suspicious activity and implement compensating controls as needed.
  • Review compensating controls for exposed systems while remediation is scheduled and verified.
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review.
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented.

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description and CVSS score. Additional information is available from source references, including a GitHub issue and a Vulncheck advisory.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-73037 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-73037

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

  • CVE-2026-73037 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-73037

    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.