CPE, which stands for Common Platform Enumeration, is a standardized scheme for naming hardware, software, and operating systems. CPE provides a structured naming scheme to uniquely identify and classify information technology systems, platforms, and packages based on certain attributes such as vendor, product name, version, update, edition, and language.
CWE, or Common Weakness Enumeration, is a comprehensive list and categorization of software weaknesses and vulnerabilities. It serves as a common language for describing software security weaknesses in architecture, design, code, or implementation that can lead to vulnerabilities.
CAPEC, which stands for Common Attack Pattern Enumeration and Classification, is a comprehensive, publicly available resource that documents common patterns of attack employed by adversaries in cyber attacks. This knowledge base aims to understand and articulate common vulnerabilities and the methods attackers use to exploit them.
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HTTP request smuggling vulnerability in Sun Java System Proxy Server before 20061130, when used with Sun Java System Application Server or Sun Java System Web Server, allows remote attackers to bypass HTTP request filtering, hijack web sessions, perform cross-site scripting (XSS), and poison web caches via unspecified attack vectors.
Inconsistent Interpretation of HTTP Requests ('HTTP Request/Response Smuggling') The product acts as an intermediary HTTP agent
(such as a proxy or firewall) in the data flow between two
entities such as a client and server, but it does not
interpret malformed HTTP requests or responses in ways that
are consistent with how the messages will be processed by
those entities that are at the ultimate destination.
Metrics
Metrics
Score
Severity
CVSS Vector
Source
V2
6.8
AV:N/AC:M/Au:N/C:P/I:P/A:P
nvd@nist.gov
EPSS
EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.
EPSS Score
The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.
Date
EPSS V0
EPSS V1
EPSS V2 (> 2022-02-04)
EPSS V3 (> 2025-03-07)
EPSS V4 (> 2025-03-17)
2022-02-06
–
–
1.41%
–
–
2022-03-06
–
–
1.41%
–
–
2022-04-03
–
–
1.41%
–
–
2022-07-10
–
–
1.41%
–
–
2022-12-25
–
–
1.41%
–
–
2023-01-01
–
–
1.41%
–
–
2023-02-26
–
–
1.41%
–
–
2023-03-12
–
–
–
0.74%
–
2023-06-18
–
–
–
0.87%
–
2023-07-30
–
–
–
1.15%
–
2023-09-03
–
–
–
1.42%
–
2023-10-08
–
–
–
1.79%
–
2023-11-19
–
–
–
8.77%
–
2023-12-24
–
–
–
11.24%
–
2024-02-04
–
–
–
10.58%
–
2024-02-11
–
–
–
1.26%
–
2024-06-02
–
–
–
1.26%
–
2024-06-16
–
–
–
1.55%
–
2024-10-27
–
–
–
1.55%
–
2024-12-22
–
–
–
1.49%
–
2025-01-19
–
–
–
1.49%
–
2025-03-18
–
–
–
–
1.14%
2025-03-30
–
–
–
–
1.14%
2025-04-06
–
–
–
–
1.14%
2025-04-06
–
–
–
–
1.14,%
EPSS Percentile
The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.