CVE-2025-11143 Details
The Jetty URI parser has some key differences to other common parsers when evaluating invalid or unusual URIs. Differential parsing of URIs in systems using multiple components may result in security by-pass. For example a component that enforces a black list may interpret the URIs differently from one that generates a response. At the very least, differential parsing may divulge implementation details.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2025-11143
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%).
0.16 Probability of exploitation activity being observed over the next 30 days (5th percentile)
CVSS score for CVE-2025-11143
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.
3.7 Low
Products affected by CVE-2025-11143
Jetty 12.0.3
Jetty 12.0.4
Jetty 12.0.5
Jetty 12.0.6
Jetty 12.0.7
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-2025-11143 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 21,112 31.75%
CN 8,955 13.47%
DE 5,951 8.95%
FR 2,679 4.03%
IN 2,331 3.51%
SG 2,274 3.42%
GB 2,067 3.11%
JP 1,550 2.33%
KR 1,433 2.16%
CA 1,328 2.00%

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CVE-2025-11143 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 43,369 84.02%
Telecommunications 6,344 12.29%
Education 676 1.31%
Government/Politics 307 0.59%
Business Services 259 0.50%
Retail 108 0.21%
Healthcare/Wellness 92 0.18%
Finance 91 0.18%
Manufacturing 62 0.12%
Engineering 59 0.11%

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