The dtls1_listen function in d1_lib.c in OpenSSL 1.0.2 before 1.0.2a does not properly isolate the state information of independent data streams, which allows remote attackers to cause a denial of service (application crash) via crafted DTLS traffic, as demonstrated by DTLS 1.0 traffic to a DTLS 1.2 server.
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
–
–
6.58%
–
–
2022-02-13
–
–
6.58%
–
–
2022-04-03
–
–
6.58%
–
–
2023-03-12
–
–
–
44.54%
–
2023-11-12
–
–
–
49.94%
–
2024-06-02
–
–
–
49.94%
–
2024-09-15
–
–
–
48.83%
–
2024-11-03
–
–
–
46.04%
–
2024-12-22
–
–
–
32.19%
–
2025-01-19
–
–
–
32.19%
–
2025-02-02
–
–
–
25.51%
–
2025-02-02
–
–
–
25.51%
–
2025-03-18
–
–
–
–
19.66%
2025-07-30
–
–
–
–
12.3%
2025-10-01
–
–
–
–
19.66%
2025-10-27
–
–
–
–
12.3%
2025-10-28
–
–
–
–
19.66%
2025-12-14
–
–
–
–
17.61%
2025-12-27
–
–
–
–
10.89%
2025-12-28
–
–
–
–
17.61%
2026-03-08
–
–
–
–
32.56%
2026-05-31
–
–
–
–
30.47%
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.