CVE-2016-1000107 Details
inets in Erlang possibly 22.1 and earlier follows RFC 3875 section 4.1.18 and therefore does not protect applications from the presence of untrusted client data in the HTTP_PROXY environment variable, which might allow remote attackers to redirect an application's outbound HTTP traffic to an arbitrary proxy server via a crafted Proxy header in an HTTP request, aka an "httpoxy" issue.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2016-1000107
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%).
0.53 Probability of exploitation activity being observed over the next 30 days (67th percentile)
CVSS score for CVE-2016-1000107
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-2016-1000107
Erlang\/otp r13b
Erlang\/otp r13b03
Erlang\/otp r14b
Erlang\/otp r14b01
Erlang\/otp r14b03
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-2016-1000107 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 48 41.03%
GB 8 6.84%
DE 8 6.84%
JP 7 5.98%
IE 6 5.13%
IT 6 5.13%
NL 5 4.27%
FR 4 3.42%
RU 3 2.56%
CA 2 1.71%

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CVE-2016-1000107 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 83 83.00%
Telecommunications 10 10.00%
Education 4 4.00%
Manufacturing 2 2.00%
Healthcare/Wellness 1 1.00%

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