CVE-2019-9947 Details
An issue was discovered in urllib2 in Python 2.x through 2.7.16 and urllib in Python 3.x through 3.7.2. CRLF injection is possible if the attacker controls a url parameter, as demonstrated by the first argument to urllib.request.urlopen with \r\n (specifically in the query string or PATH_INFO) followed by an HTTP header or a Redis command. This is similar to CVE-2019-9740.
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Exploit prediction scoring system (EPSS) score for CVE-2019-9947
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%).
0.98 Probability of exploitation activity being observed over the next 30 days (76th percentile)
CVSS score for CVE-2019-9947
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.
6.1 Medium
Products affected by CVE-2019-9947
Python 2.7.13
Python 2.7.14
Python 2.7.15
Python 2.7.16
Python 2.7.2
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-2019-9947 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 18,480 21.16%
NL 12,818 14.68%
CN 10,297 11.79%
DE 6,911 7.91%
JP 3,398 3.89%
KR 3,149 3.61%
FR 2,661 3.05%
GB 2,216 2.54%
CA 2,074 2.37%
IT 1,723 1.97%

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CVE-2019-9947 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 31,940 69.35%
Telecommunications 8,667 18.82%
Education 3,364 7.30%
Energy/Resources 505 1.10%
Government/Politics 470 1.02%
Media/Entertainment 378 0.82%
Business Services 194 0.42%
Utilities 109 0.24%
Retail 84 0.18%
Transportation 63 0.14%

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