CVE-2015-20107 Details
A vulnerability, which was classified as critical, was found in Python up to 3.10.4 (Programming Language Software). This affects some unknown functionality of the component mailcap Module. There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2015-20107
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%).
7.27 Probability of exploitation activity being observed over the next 30 days (94rd percentile)
CVSS score for CVE-2015-20107
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.
7.6 High
Products affected by CVE-2015-20107
Python 3.10.0
Python 3.10.1
Python 3.10.2
Python 3.10.3
Python 3.10.4
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-2015-20107 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 10,716 24.59%
CN 8,808 20.21%
NL 3,077 7.06%
DE 3,008 6.90%
FR 1,741 4.00%
SG 1,638 3.76%
GB 1,307 3.00%
KR 1,085 2.49%
JP 931 2.14%
HK 877 2.01%

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CVE-2015-20107 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 26,562 84.11%
Telecommunications 4,365 13.82%
Education 253 0.80%
Retail 127 0.40%
Government/Politics 70 0.22%
Media/Entertainment 44 0.14%
Business Services 40 0.13%
Manufacturing 24 0.08%
Engineering 22 0.07%
Consumer Goods 14 0.04%

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