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PatchSiren cyber security CVE debrief

CVE-2026-73258 cesanta CVE debrief

CVE-2026-73258 is a vulnerability in the Mongoose embedded web server and network library. A remote attacker can place a lone carriage return or line feed in multipart input processed by mg_http_next_multipart() in src/http.c, which can cause an application to accept dangerous content after seeing a misleading Content-Type value. This issue is fixed in version 7.22.

Vendor
cesanta
Product
mongoose
CVSS
MEDIUM 6.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-20
Original CVE updated
2026-09-29
Advisory published
2026-08-20
Advisory updated
2026-09-29

Who should care

Defenders responsible for maintaining and securing applications that use the Mongoose embedded web server and network library should be aware of this vulnerability and take necessary actions to prevent potential security risks.

Why it matters

CVE-2026-73258 is a vulnerability in the Mongoose embedded web server and network library that can cause an application to accept dangerous content after seeing a misleading Content-Type value. Defenders should prioritize verifying and upgrading to Mongoose version 7.22 or later to prevent potential security risks.

  • Verify and upgrade to Mongoose version 7.22 or later to prevent potential security risks
  • Review and update affected applications to ensure secure content processing
  • Monitor for potential security risks associated with this vulnerability

Technical summary

The vulnerability is caused by an incorrect AND condition in the loops comparing s[b] and s[b + 1], and s[h2] and s[h2 + 1] in mg_http_next_multipart() in src/http.c. This can cause an application to accept dangerous content after seeing a misleading Content-Type value. The vulnerability affects the Mongoose embedded web server and network library prior to version 7.22. Defenders should prioritize verifying and upgrading to Mongoose version 7.22 or later to prevent potential security risks. The technical details are based on the CVE record and NVD vulnerability detail.

Defensive priority

Defenders should prioritize verifying and upgrading to Mongoose version 7.22 or later to prevent potential security risks.

Recommended defensive actions

  • Verify and upgrade to Mongoose version 7.22 or later
  • Review and update affected applications to ensure secure content processing
  • Monitor for potential security risks associated with this vulnerability
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review

Evidence notes

The CVE record and NVD vulnerability detail provide information on the vulnerability, its impact, and the fixed version. The vulnerability is caused by an incorrect AND condition in the loops comparing s[b] and s[b + 1], and s[h2] and s[h2 + 1] in mg_http_next_multipart() in src/http.c. This can cause an application to accept dangerous content after seeing a misleading Content-Type value. Defenders should verify and upgrade to Mongoose version 7.22 or later to prevent potential security risks. The evidence is limited to publicly known

Sources and references

Verified primary and authoritative sources

  • CVE-2026-73258 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-73258

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

  • CVE-2026-73258 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-73258

    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.