glibc2 does not properly clear the LD_DEBUG_OUTPUT and LD_DEBUG environmental variables when a program is spawned from a setuid program, which could allow local users to overwrite files via a symlink attack.
CVE 정보
메트릭
메트릭
점수
심각도
CVSS 벡터
출처
V2
1.2
AV:L/AC:H/Au:N/C:N/I:P/A:N
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
–
–
0.89%
–
–
2022-02-13
–
–
0.89%
–
–
2022-04-03
–
–
0.89%
–
–
2022-06-19
–
–
0.89%
–
–
2022-09-04
–
–
0.89%
–
–
2022-12-18
–
–
0.89%
–
–
2023-03-12
–
–
–
0.04%
–
2024-02-11
–
–
–
0.04%
–
2024-06-02
–
–
–
0.04%
–
2025-01-19
–
–
–
0.04%
–
2025-03-18
–
–
–
–
0.09%
2025-04-15
–
–
–
–
0.09%
2025-06-30
–
–
–
–
0.09%
2025-07-01
–
–
–
–
0.09%
2025-07-06
–
–
–
–
0.09%
2025-07-09
–
–
–
–
0.09%
2025-07-13
–
–
–
–
0.09%
2025-08-01
–
–
–
–
0.09%
2025-08-04
–
–
–
–
0.09%
2025-09-27
–
–
–
–
0.09%
2025-09-28
–
–
–
–
0.09%
2025-10-01
–
–
–
–
0.09%
2025-10-04
–
–
–
–
0.09%
2025-11-18
–
–
–
–
0.09%
2025-11-21
–
–
–
–
0.09%
2026-02-22
–
–
–
–
0.09%
2026-04-05
–
–
–
–
0.09%
2026-06-14
–
–
–
–
0.09%
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.