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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Search : CVE id, CWE id, CAPEC id, vendor or keywords in CVE
index.php in CubeCart 2.0.4 allows remote attackers to (1) obtain the full path for the web server or (2) conduct cross-site scripting (XSS) attacks via an invalid language parameter, which echoes the parameter in a PHP error message.
CVE Informations
Metrics
Metrics
Score
Severity
CVSS Vector
Source
V2
4.3
AV:N/AC:M/Au:N/C:P/I:N/A:N
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
–
–
1.92%
–
–
2022-02-20
–
–
1.92%
–
–
2022-04-03
–
–
1.92%
–
–
2022-06-26
–
–
1.92%
–
–
2022-12-25
–
–
1.92%
–
–
2023-01-01
–
–
1.92%
–
–
2023-02-19
–
–
1.92%
–
–
2023-03-12
–
–
–
0.7%
–
2023-06-18
–
–
–
0.7%
–
2024-02-11
–
–
–
0.7%
–
2024-06-02
–
–
–
0.7%
–
2024-08-11
–
–
–
0.7%
–
2024-12-22
–
–
–
0.67%
–
2025-01-19
–
–
–
0.67%
–
2025-03-18
–
–
–
–
1.15%
2025-03-30
–
–
–
–
0.92%
2025-03-30
–
–
–
–
0.92,%
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.
Publication date : 2005-02-13 23h00 +00:00 Author : John Cobb EDB Verified : Yes
source: https://www.securityfocus.com/bid/12549/info
Brooky CubeCart is reported prone to multiple vulnerabilities. These issues result from insufficient sanitization of user-supplied data and may allow remote attackers to disclose arbitrary files and carry out cross-site scripting attacks.
The application is reportedly susceptible to a remote directory traversal vulnerability. A malicious user could issue a request containing directory traversal strings such as '../' to possibly view files outside the server root directory in the context of the server.
The application is also prone to a cross-site scripting vulnerability. This issue is due to a failure of the application to properly sanitize user-supplied URI input. This may allow for theft of cookie-based authentication credentials or other attacks.
CubeCart 2.0.4 and prior versions are considered to be vulnerable to these issues.
http://www.example.com/index.php?&language=<script>var%20test_variable=31
337;alert(test_variable);</script>