CVE-2026-33833
| Summary |
Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.
|
| Publication Date |
May 13, 2026, 3:17 a.m. |
| Registration Date |
May 13, 2026, 4:14 a.m. |
| Last Update |
May 13, 2026, 3:17 a.m. |
|
CVSS3.1 : HIGH
|
| スコア |
8.2
|
| Vector |
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N |
| 攻撃元区分(AV) |
ネットワーク |
| 攻撃条件の複雑さ(AC) |
低 |
| 攻撃に必要な特権レベル(PR) |
不要 |
| 利用者の関与(UI) |
要 |
| 影響の想定範囲(S) |
変更あり |
| 機密性への影響(C) |
高 |
| 完全性への影響(I) |
低 |
| 可用性への影響(A) |
なし |
Related information, measures and tools
Common Vulnerabilities List