| CVE ID | Severity | Patch | EPSS | Date |
|---|---|---|---|---|
| CVE-2026-90555 | 6.5 MEDIUM | PATCHED / FIX AVAILABLE | 0.52% | 2026-09-12 |
| CVE-2026-90553 | 7.8 HIGH | PATCHED / FIX AVAILABLE | 0.31% | 2026-09-12 |
| CVE-2026-41523 PoC | 7.5 HIGH | PATCHED / FIX AVAILABLE | 0.91% | 2026-06-22 |
| CVE-2026-48746 | 9.1 CRITICAL | PATCHED / FIX AVAILABLE | 1.15% | 2026-06-22 |
| CVE-2025-71379 | 5.3 MEDIUM | PATCHED / FIX AVAILABLE | 0.48% | 2026-06-20 |
| CVE-2026-12491 | 4.8 MEDIUM | PATCHED / FIX AVAILABLE | 0.24% | 2026-06-17 |
| CVE-2026-7141 | 5.6 MEDIUM | UNKNOWN / UNPATCHED | 0.29% | 2026-04-27 |
| CVE-2026-34756 | 6.5 MEDIUM | PATCHED / FIX AVAILABLE | 0.42% | 2026-04-06 |
| CVE-2026-34755 | 6.5 MEDIUM | PATCHED / FIX AVAILABLE | 0.46% | 2026-04-06 |
| CVE-2025-66448 | 7.1 HIGH | PATCHED / FIX AVAILABLE | 0.66% | 2025-12-01 |
| CVE-2025-62372 | 8.3 HIGH | PATCHED / FIX AVAILABLE | 0.38% | 2025-11-21 |
| CVE-2025-62426 | 6.5 MEDIUM | PATCHED / FIX AVAILABLE | 0.37% | 2025-11-21 |
| CVE-2025-62164 | 8.8 HIGH | PATCHED / FIX AVAILABLE | 0.93% | 2025-11-21 |
| CVE-2025-59425 | 7.5 HIGH | PATCHED / FIX AVAILABLE | 0.57% | 2025-10-07 |
| CVE-2025-48956 | 7.5 HIGH | PATCHED / FIX AVAILABLE | 0.56% | 2025-08-21 |
| CVE-2025-48944 | 6.5 MEDIUM | PATCHED / FIX AVAILABLE | 0.52% | 2025-05-30 |
| CVE-2025-48943 | 6.5 MEDIUM | PATCHED / FIX AVAILABLE | 0.47% | 2025-05-30 |
| CVE-2025-48942 | 6.5 MEDIUM | PATCHED / FIX AVAILABLE | 0.54% | 2025-05-30 |
| CVE-2025-48887 | 6.5 MEDIUM | PATCHED / FIX AVAILABLE | 0.51% | 2025-05-30 |
| CVE-2025-46722 | 4.2 MEDIUM | PATCHED / FIX AVAILABLE | 0.32% | 2025-05-29 |
Vllm is an open-source project that provides a high-performance inference engine for large language models (LLMs), optimized for serving and deploying models like Llama, Mistral, and others. It is widely used in the AI/ML community for its efficiency and support for various hardware backends, but as an open-source tool rather than a commercial vendor, its cybersecurity relevance stems from vulnerabilities in its dependencies and deployment configurations.
Based on 5 critical CVEs, 0 CISA KEV, 75% unpatched. Model: GDPR Art.83 · not legal advice.