CVE-2019-12951 Details
An issue was discovered in Mongoose before 6.15. The parse_mqtt() function in mg_mqtt.c has a critical heap-based buffer overflow.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2019-12951
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%).
0.46 Probability of exploitation activity being observed over the next 30 days (63rd percentile)
CVSS score for CVE-2019-12951
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.
9.8 Critical
Products affected by CVE-2019-12951
Mongoose 6.10
Mongoose 6.11
Mongoose 6.13
Mongoose 6.14
Mongoose 6.4
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.
Not available
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CVE-2019-12951 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 467 23.47%
KR 397 19.95%
CN 304 15.28%
DE 133 6.68%
GB 88 4.42%
PL 74 3.72%
SG 70 3.52%
IT 37 1.86%
JP 35 1.76%
TR 33 1.66%

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CVE-2019-12951 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 786 67.93%
Telecommunications 343 29.65%
Education 8 0.69%
Retail 7 0.61%
Utilities 5 0.43%
Media/Entertainment 2 0.17%
Business Services 2 0.17%
Insurance 2 0.17%
Government/Politics 1 0.09%
Engineering 1 0.09%

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