CVE-2018-20406 Details
Modules/_pickle.c in Python before 3.7.1 has an integer overflow via a large LONG_BINPUT value that is mishandled during a "resize to twice the size" attempt. This issue might cause memory exhaustion, but is only relevant if the pickle format is used for serializing tens or hundreds of gigabytes of data.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2018-20406
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%).
1.26 Probability of exploitation activity being observed over the next 30 days (79th percentile)
CVSS score for CVE-2018-20406
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.
7.5 High
Products affected by CVE-2018-20406
Python 3.4.0
Python 3.4.1
Python 3.4.10
Python 3.4.2
Python 3.4.3
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-2018-20406 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 13,377 37.03%
CN 4,940 13.67%
DE 2,009 5.56%
JP 1,653 4.58%
CA 1,309 3.62%
SG 940 2.60%
FR 921 2.55%
GB 913 2.53%
HK 666 1.84%
KR 637 1.76%

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CVE-2018-20406 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 18,664 74.77%
Telecommunications 3,011 12.06%
Education 2,488 9.97%
Real Estate 281 1.13%
Government/Politics 184 0.74%
Business Services 69 0.28%
Retail 55 0.22%
Food Production 40 0.16%
Manufacturing 26 0.10%
Finance 26 0.10%

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