CVE-2017-1000483 Details
Accessing private content via str.format in through-the-web templates and scripts in Plone 2.5-5.1rc1. This improves an earlier hotfix. Since the format method was introduced in Python 2.6, this part of the hotfix is only relevant for Plone 4 and 5.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2017-1000483
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%).
0.29 Probability of exploitation activity being observed over the next 30 days (52nd percentile)
CVSS score for CVE-2017-1000483
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.
6.5 Medium
Products affected by CVE-2017-1000483
Plone 2.5.5
Plone 3.3
Plone 3.3.1
Plone 3.3.2
Plone 3.3.3
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-2017-1000483 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 49 15.03%
GB 49 15.03%
DE 43 13.19%
IT 41 12.58%
AR 41 12.58%
FR 36 11.04%
BE 11 3.37%
JP 11 3.37%
NL 10 3.07%
BR 8 2.45%

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CVE-2017-1000483 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 103 39.62%
Education 100 38.46%
Telecommunications 47 18.08%
Government/Politics 7 2.69%
Finance 2 0.77%
Business Services 1 0.38%

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