psyBNC 2.3 allows remote attackers to cause a denial of service (CPU consumption and resource exhaustion) by sending a PASS command with a long password argument and quickly killing the connection, which is not properly terminated by psyBNC.
CVE 정보
메트릭
메트릭
점수
심각도
CVSS 벡터
출처
V2
5
AV:N/AC:L/Au:N/C:N/I:N/A:P
nvd@nist.gov
EPSS
EPSS는 취약점이 악용될 가능성을 예측하는 점수 모델입니다.
EPSS 점수
EPSS 모델은 0과 1(0~100%) 사이의 확률 점수를 생성합니다. 점수가 높을수록 취약점이 악용될 가능성이 높습니다.
날짜
EPSS V0
EPSS V1
EPSS V2 (> 2022-02-04)
EPSS V3 (> 2025-03-07)
EPSS V4 (> 2025-03-17)
2022-02-06
–
–
4.48%
–
–
2022-02-13
–
–
4.48%
–
–
2022-04-03
–
–
4.48%
–
–
2022-12-25
–
–
4.48%
–
–
2023-01-01
–
–
4.48%
–
–
2023-02-26
–
–
4.48%
–
–
2023-03-12
–
–
–
2.78%
–
2023-09-17
–
–
–
2.33%
–
2023-10-22
–
–
–
2.33%
–
2024-02-04
–
–
–
2.1%
–
2024-02-11
–
–
–
1.41%
–
2024-06-02
–
–
–
1.41%
–
2024-06-08
–
–
–
1.41%
–
2024-06-09
–
–
–
–
–
2024-06-16
–
–
–
1.41%
–
2024-08-11
–
–
–
1.16%
–
2024-12-15
–
–
–
1.16%
–
2024-12-22
–
–
–
1.09%
–
2025-01-19
–
–
–
1.09%
–
2025-03-02
–
–
–
1.09%
–
2025-03-09
–
–
–
1.09%
–
2025-03-18
–
–
–
–
12.83%
2025-03-30
–
–
–
–
12.83%
2025-04-15
–
–
–
–
12.83%
2025-11-18
–
–
–
–
12.83%
2025-11-21
–
–
–
–
12.83%
EPSS 백분위수
백분위수는 EPSS 점수에 따라 CVE의 순위를 매기는 데 사용됩니다. 예를 들어 EPSS 점수 기준 95번째 백분위수의 CVE는 다른 CVE의 95%보다 악용될 가능성이 높습니다.