ATLAS Landscape
AML.T0057

LLM Data Leakage

Adversaries may craft prompts that induce the LLM to leak sensitive information. This can include private user data or proprietary information. The leaked information may come from proprietary training data, data sources the LLM is connected to, or information from other users of the LLM.

Severity CVE CVSS
CRITICAL CVE-2025-9556 9.8
CRITICAL CVE-2026-21445 9.1
HIGH CVE-2026-39889 7.5
HIGH CVE-2025-46722 7.3
MEDIUM GHSA-766v-q9x3-g744 6.5
MEDIUM CVE-2026-25640 5.4
MEDIUM CVE-2026-44561 5.4
MEDIUM CVE-2026-40087 5.3
MEDIUM GHSA-926x-3r5x-gfhw 5.3
MEDIUM CVE-2024-10940 5.3
MEDIUM CVE-2025-60511 4.3
MEDIUM CVE-2025-68492 4.2
LOW CVE-2026-29071 3.1
LOW CVE-2025-46570 2.6
LOW CVE-2024-40594 2.3
UNKNOWN CVE-2026-42228
HIGH CVE-2025-65106
UNKNOWN CVE-2025-34072
HIGH CVE-2026-44504
UNKNOWN CVE-2026-25083