| CVE ID | Severity | Patch | EPSS | Date |
|---|---|---|---|---|
| CVE-2026-108836 PoC | 7.3 HIGH | UNKNOWN / UNPATCHED | — | 2026-10-12 |
| CVE-2026-103663 | ? N/A | UNKNOWN / UNPATCHED | 0.71% | 2026-10-08 |
| CVE-2026-102697 | 7.8 HIGH | PATCH UNDER REVIEW | 0.15% | 2026-09-29 |
| CVE-2026-86289 | 4.3 MEDIUM | UNKNOWN / UNPATCHED | 0.40% | 2026-09-07 |
| CVE-2026-65315 | 8.7 HIGH | PATCH UNDER REVIEW | 0.81% | 2026-07-21 |
| CVE-2026-15685 | 7.5 HIGH | UNKNOWN / UNPATCHED | 0.39% | 2026-07-13 |
| CVE-2026-7020 | 6.3 MEDIUM | UNKNOWN / UNPATCHED | 0.91% | 2026-04-26 |
| CVE-2026-5530 | 5.3 MEDIUM | UNKNOWN / UNPATCHED | 0.30% | 2026-04-05 |
| CVE-2025-15063 PoC | 9.8 CRITICAL | UNKNOWN / UNPATCHED | 0.36% | 2026-01-23 |
| CVE-2025-66959 | ? N/A | UNKNOWN / UNPATCHED | 0.62% | 2026-01-21 |
| CVE-2025-66960 PoC | ? N/A | UNKNOWN / UNPATCHED | 0.62% | 2026-01-21 |
| CVE-2025-15514 PoC | 7.5 HIGH | PATCH UNDER REVIEW | 0.78% | 2026-01-12 |
| CVE-2025-63389 | 9.8 CRITICAL | UNKNOWN / UNPATCHED | 0.71% | 2025-12-18 |
| CVE-2025-44779 | ? N/A | UNKNOWN / UNPATCHED | 0.18% | 2025-08-07 |
| CVE-2025-51471 | ? N/A | UNKNOWN / UNPATCHED | 13.19% | 2025-07-22 |
| CVE-2025-1975 | 7.5 HIGH | PATCH UNDER REVIEW | 0.50% | 2025-05-16 |
| CVE-2024-8063 | 7.5 HIGH | PATCH UNDER REVIEW | 0.62% | 2025-03-20 |
| CVE-2025-0312 | 7.5 HIGH | PATCH UNDER REVIEW | 0.62% | 2025-03-20 |
| CVE-2024-12886 | 7.5 HIGH | PATCH UNDER REVIEW | 0.71% | 2025-03-20 |
| CVE-2025-0317 | 7.5 HIGH | PATCH UNDER REVIEW | 14.15% | 2025-03-20 |
Ollama is a software company that develops an open-source platform for running large language models (LLMs) locally on personal computers. Its main product, also called Ollama, simplifies the deployment and management of models like Llama and Mistral, making it popular among developers and AI enthusiasts. From a cybersecurity perspective, local execution reduces data exposure risks compared to cloud-based AI services, but the platform's growing adoption has led to 26 tracked CVEs, highlighting potential vulnerabilities in its software stack.
Based on 2 critical CVEs, 0 CISA KEV, 90% unpatched. Model: GDPR Art.83 · not legal advice.