CVE-2026-73253 Details
Mongoose is an embedded web server and network library. Prior to version 7.22, an on-path network attacker with a wildcard certificate for a parent domain can impersonate deeper subdomains to a client using the built-in TLS stack. The mg_tls_verify_cert_san() and mg_tls_verify_cert_cn() functions in src/tls_builtin.c call mg_match(), whose wildcard can cross DNS label boundaries, so a pattern such as *.example.com can match foo.bar.example.com. The resulting hostname verification bypass permits interception and modification of TLS traffic. This issue is fixed in version 7.22.
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Exploit prediction scoring system (EPSS) score for CVE-2026-73253
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.34 Probability of exploitation activity being observed over the next 30 days (26th percentile)
CVSS score for CVE-2026-73253
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
9.1 Critical
Products affected by CVE-2026-73253
Mongoose 6.10
Mongoose 6.11
Mongoose 6.12
Mongoose 6.13
Mongoose 6.14
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
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CVE-2026-73253 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
CN 99 21.62%
US 56 12.23%
BR 55 12.01%
DE 48 10.48%
KR 44 9.61%
VN 18 3.93%
TR 13 2.84%
MY 12 2.62%
PL 10 2.18%
IT 9 1.97%

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CVE-2026-73253 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Telecommunications 219 66.97%
Technology 102 31.19%
Government/Politics 2 0.61%
Utilities 1 0.31%
Media/Entertainment 1 0.31%
Retail 1 0.31%
Energy/Resources 1 0.31%

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