CVE-2018-16150 Details
In sig_verify() in x509.c in axTLS version 2.1.3 and before, the PKCS#1 v1.5 signature verification does not reject excess data after the hash value. Consequently, a remote attacker can forge signatures when small public exponents are being used, which could lead to impersonation through fake X.509 certificates. This is a variant of CVE-2006-4340.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2018-16150
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%).
0.16 Probability of exploitation activity being observed over the next 30 days (38th percentile)
CVSS score for CVE-2018-16150
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.
5.9 Medium
Products affected by CVE-2018-16150
Axtls 1.4.9
Axtls 1.5.3
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.
Not available
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CVE-2018-16150 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
BR 2,328 60.83%
TW 765 19.99%
US 258 6.74%
CN 104 2.72%
JP 84 2.19%
RU 70 1.83%
DE 40 1.05%
GB 36 0.94%
SG 34 0.89%
HK 23 0.60%

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CVE-2018-16150 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 592 61.60%
Technology 349 36.32%
Manufacturing 5 0.52%
Utilities 4 0.42%
Government/Politics 4 0.42%
Energy/Resources 3 0.31%
Legal 2 0.21%
Education 2 0.21%

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