CVE-2014-9365 Details
The HTTP clients in the (1) httplib, (2) urllib, (3) urllib2, and (4) xmlrpclib libraries in CPython (aka Python) 2.x before 2.7.9 and 3.x before 3.4.3, when accessing an HTTPS URL, do not (a) check the certificate against a trust store or verify that the server hostname matches a domain name in the subject's (b) Common Name or (c) subjectAltName field of the X.509 certificate, which allows man-in-the-middle attackers to spoof SSL servers via an arbitrary valid certificate.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2014-9365
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%).
2.04 Probability of exploitation activity being observed over the next 30 days (83rd percentile)
CVSS score for CVE-2014-9365
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.
5.8 Medium
Products affected by CVE-2014-9365
Python 3.4.2
Python 3.3.3
Python 3.2.2
Python 3.1.2
Python 3.1.5
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-2014-9365 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
NL 12,529 18.03%
US 10,437 15.02%
DE 8,638 12.43%
CN 5,930 8.53%
JP 4,057 5.84%
KR 2,916 4.20%
IT 1,825 2.63%
FR 1,605 2.31%
CA 1,538 2.21%
GB 1,475 2.12%

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CVE-2014-9365 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 19,363 60.36%
Telecommunications 7,540 23.51%
Education 3,029 9.44%
Energy/Resources 508 1.58%
Government/Politics 435 1.36%
Media/Entertainment 360 1.12%
Business Services 262 0.82%
Legal 142 0.44%
Transportation 75 0.23%
Retail 60 0.19%

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