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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libpcp in Performance Co-Pilot (PCP) before 3.6.5 allows remote attackers to cause a denial of service and possibly execute arbitrary code via (1) a PDU with the numcreds field value greater than the number of actual elements to the __pmDecodeCreds function in p_creds.c; (2) the string byte number value to the __pmDecodeNameList function in p_pmns.c; (3) the numids value to the __pmDecodeIDList function in p_pmns.c; (4) unspecified vectors to the __pmDecodeProfile function in p_profile.c; the (5) status number value or (6) string number value to the __pmDecodeNameList function in p_pmns.c; (7) certain input to the __pmDecodeResult function in p_result.c; (8) the name length field (namelen) to the DecodeNameReq function in p_pmns.c; (9) a crafted PDU_FETCH request to the __pmDecodeFetch function in p_fetch.c; (10) the namelen field in the __pmDecodeInstanceReq function in p_instance.c; (11) the buflen field to the __pmDecodeText function in p_text.c; (12) PDU_INSTANCE packets to the __pmDecodeInstance in p_instance.c; or the (13) c_numpmid or (14) v_numval fields to the __pmDecodeLogControl function in p_lcontrol.c, which triggers integer overflows, heap-based buffer overflows, and/or buffer over-reads.
Category : Numeric Errors Weaknesses in this category are related to improper calculation or conversion of numbers.
Metrics
Metrics
Score
Severity
CVSS Vector
Source
V2
5
AV:N/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
–
–
8.23%
–
–
2022-03-13
–
–
8.23%
–
–
2022-04-03
–
–
8.23%
–
–
2023-03-12
–
–
–
7.25%
–
2023-11-12
–
–
–
8.69%
–
2024-01-28
–
–
–
9.88%
–
2024-02-11
–
–
–
9.88%
–
2024-06-02
–
–
–
9.88%
–
2024-07-28
–
–
–
10.44%
–
2024-09-15
–
–
–
10.77%
–
2024-11-10
–
–
–
10.89%
–
2025-03-02
–
–
–
9.67%
–
2025-01-19
–
–
–
10.89%
–
2025-03-09
–
–
–
9.67%
–
2025-03-18
–
–
–
–
4.84%
2025-03-18
–
–
–
–
4.84,%
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.