PatchSiren cyber security CVE debrief
CVE-2026-50757 DayuanJiang CVE debrief
A directory traversal vulnerability was reported in next-ai-draw-io version 0.4.13. The vulnerability allows a remote attacker to execute arbitrary code via the nex-ai-draw-io/mcp-server endpoint. The Common Vulnerabilities and Exposures (CVE) score for this vulnerability is 7.8, with a HIGH severity rating. The CVE record was published on 2026-07-21T20:17:01.947Z and was last modified on 2026-07-22T18:17:00.880Z. The affected product is next-ai-draw-io version 0.4.13, and users should be aware of this vulnerability and take immediate action to mitigate the risk.
- Vendor
- DayuanJiang
- Product
- next-ai-draw-io 0.4.13
- CVSS
- HIGH 7.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-07-21
- Original CVE updated
- 2026-07-22
- Advisory published
- 2026-07-21
- Advisory updated
- 2026-07-22
Who should care
Users of next-ai-draw-io version 0.4.13 should be aware of this vulnerability and take immediate action to mitigate the risk. This vulnerability can be exploited by remote attackers, which could lead to arbitrary code execution. Operators, platform administrators, and security teams should review the affected scope and severity to determine the necessary actions.
Technical summary
The vulnerability is caused by a directory traversal issue in the next-ai-draw-io/mcp-server endpoint of next-ai-draw-io version 0.4.13. This allows an attacker to traverse the directory structure and execute arbitrary code. The CVSS vector for this vulnerability is CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. The affected product is next-ai-draw-io version 0.4.13, and the vulnerability has a high CVSS score of 7.8. Users of next-ai-draw-io version 0.4.13 should be aware of this vulnerability and take immediate action to mitigate the risk, as it allows for arbitrary code execution and has a high CVSS score. To address this vulnerability, users should apply the patch or update to the latest version of next-ai-draw-io, restrict access to the nex-ai-draw-io/mcp-server endpoint, and monitor for suspicious activity on the affected system.
Defensive priority
High priority should be given to patching or mitigating this vulnerability, as it allows for arbitrary code execution and has a high CVSS score.
Recommended defensive actions
- Apply the patch or update to the latest version of next-ai-draw-io
- Restrict access to the nex-ai-draw-io/mcp-server endpoint
- Monitor for suspicious activity on the affected system
- Consider implementing additional security controls, such as input validation and sanitization
- 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 detail provide information on this vulnerability. However, due to limited information available, further verification is required to fully understand the scope and impact of this vulnerability. The source item URL and references provide additional context, but more evidence is needed to confirm the affected scope and severity.
Sources and references
Verified primary and authoritative sources
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CVE-2026-50757 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-50757
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-50757 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-50757
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://github.com/August829/Yu/blob/main/CVE-2026-50757.md
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Source reference
Unverified legacy reference
URL: https://github.com/DayuanJiang/next-ai-draw-io/issues/754
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.