Multiple SQL injection vulnerabilities in LCG Disk Pool Manager (DPM) before 1.8.6, as used in EGI UDM, allow remote attackers to execute arbitrary SQL commands via the (1) r_token variable in the dpm_get_pending_req_by_token, (2) dpm_get_cpr_by_fullid, (3) dpm_get_cpr_by_surl, (4) dpm_get_cpr_by_surls, (5) dpm_get_gfr_by_fullid, (6) dpm_get_gfr_by_surl, (7) dpm_get_pfr_by_fullid, (8) dpm_get_pfr_by_surl, (9) dpm_get_req_by_token, (10) dpm_insert_cpr_entry, (11) dpm_insert_gfr_entry, (12) dpm_insert_pending_entry, (13) dpm_insert_pfr_entry, (14) dpm_insert_xferreq_entry, (15) dpm_list_cpr_entry, (16) dpm_list_gfr_entry, or (17) dpm_list_pfr_entry function; the (18) surl variable in the dpm_get_cpr_by_surl function; the (19) to_surl variable in the dpm_get_cpr_by_surls function; the (20) u_token variable in the dpm_get_pending_reqs_by_u_desc, (21) dpm_get_reqs_by_u_desc, (22) dpm_get_spcmd_by_u_desc, (23) dpm_insert_pending_entry, (24) dpm_insert_spcmd_entry, or (25) dpm_insert_xferreq_entry function; the (26) s_token variable in the dpm_get_spcmd_by_token, (27) dpm_insert_cpr_entry, (28) dpm_insert_gfr_entry, (29) dpm_insert_pfr_entry, (30) dpm_insert_spcmd_entry, (31) dpm_update_cpr_entry, (32) dpm_update_gfr_entry, or (33) dpm_update_pfr_entry function; or remote administrators to execute arbitrary SQL commands via the (34) poolname variable in the dpm_get_pool_entry, (35) dpm_insert_fs_entry, (36) dpm_insert_pool_entry, (37) dpm_insert_spcmd_entry, (38) dpm_list_fs_entry, or (39) dpm_update_spcmd_entry function.
Improper Neutralization of Special Elements used in an SQL Command The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
메트릭
메트릭
점수
심각도
CVSS 벡터
출처
V2
7.5
AV:N/AC:L/Au:N/C:P/I:P/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
–
–
1.32%
–
–
2022-02-27
–
–
1.32%
–
–
2022-04-03
–
–
1.32%
–
–
2022-05-15
–
–
1.32%
–
–
2022-09-18
–
–
1.32%
–
–
2023-03-12
–
–
–
0.82%
–
2023-07-02
–
–
–
0.82%
–
2023-11-12
–
–
–
0.56%
–
2023-12-24
–
–
–
0.7%
–
2024-02-11
–
–
–
0.76%
–
2024-06-02
–
–
–
0.69%
–
2024-11-10
–
–
–
0.69%
–
2024-12-08
–
–
–
0.51%
–
2024-12-22
–
–
–
0.61%
–
2025-01-19
–
–
–
0.61%
–
2025-03-18
–
–
–
–
0.61%
2025-03-30
–
–
–
–
0.61%
2025-04-15
–
–
–
–
0.61%
2025-05-02
–
–
–
–
0.61%
2025-05-04
–
–
–
–
0.61%
2025-05-24
–
–
–
–
0.61%
2025-05-29
–
–
–
–
0.61%
2025-06-01
–
–
–
–
0.61%
2025-11-18
–
–
–
–
0.61%
2025-11-21
–
–
–
–
0.61%
2026-03-29
–
–
–
–
0.61%
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.