CVE-2017-3737 Details
OpenSSL 1.0.2 (starting from version 1.0.2b) introduced an "error state" mechanism. The intent was that if a fatal error occurred during a handshake then OpenSSL would move into the error state and would immediately fail if you attempted to continue the handshake. This works as designed for the explicit handshake functions (SSL_do_handshake(), SSL_accept() and SSL_connect()), however due to a bug it does not work correctly if SSL_read() or SSL_write() is called directly. In that scenario, if the handshake fails then a fatal error will be returned in the initial function call. If SSL_read()/SSL_write() is subsequently called by the application for the same SSL object then it will succeed and the data is passed without being decrypted/encrypted directly from the SSL/TLS record layer. In order to exploit this issue an application bug would have to be present that resulted in a call to SSL_read()/SSL_write() being issued after having already received a fatal error. OpenSSL version 1.0.2b-1.0.2m are affected. Fixed in OpenSSL 1.0.2n. OpenSSL 1.1.0 is not affected.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2017-3737
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%).
28.07 Probability of exploitation activity being observed over the next 30 days (96th percentile)
CVSS score for CVE-2017-3737
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-2017-3737
OpenSSL 1.0.2c
OpenSSL 1.0.2d
OpenSSL 1.0.2e
OpenSSL 1.0.2f
OpenSSL 1.0.2g
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-2017-3737 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 56,051 28.10%
JP 27,641 13.86%
DE 10,490 5.26%
IT 10,208 5.12%
KR 8,016 4.02%
BR 6,233 3.12%
CN 6,058 3.04%
IN 5,931 2.97%
GB 5,380 2.70%
FR 5,273 2.64%

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CVE-2017-3737 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
Technology 117,314 78.93%
Telecommunications 22,504 15.14%
Education 3,607 2.43%
Government/Politics 1,714 1.15%
Business Services 683 0.46%
Manufacturing 372 0.25%
Food Production 311 0.21%
Utilities 297 0.20%
Finance 242 0.16%
Media/Entertainment 236 0.16%

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