ATLAS Landscape
AML.T0076
Corrupt AI Model
An adversary may purposefully corrupt a malicious AI model file so that it cannot be successfully deserialized in order to evade detection by a model scanner. The corrupt model may still successfully execute malicious code before deserialization fails.
9 CVEs mapped
View on MITRE ATLAS →
| Severity | CVE | Headline | Package | CVSS |
|---|---|---|---|---|
| HIGH | CVE-2021-41203 | TensorFlow: malformed checkpoint triggers overflow/crash | tensorflow | 7.8 |
| HIGH | CVE-2025-10156 | Picklescan: CRC bypass hides malicious pickle in ZIP | picklescan | 7.5 |
| HIGH | CVE-2025-0317 | Ollama: DoS via malicious GGUF model file upload | ollama | 7.5 |
| HIGH | CVE-2025-0312 | Ollama: null pointer DoS via malicious GGUF model upload | ollama | 7.5 |
| HIGH | CVE-2024-8063 | ollama: divide-by-zero DoS via crafted GGUF model import | ollama | 7.5 |
| HIGH | CVE-2024-12055 | Ollama: DoS via malicious gguf model file upload | ollama | 7.5 |
| HIGH | CVE-2020-15206 | TensorFlow: SavedModel protobuf DoS in inference serving | tensorflow | 7.5 |
| HIGH | CVE-2025-62609 | mlx: security flaw enables exploitation | mlx | 7.5 |
| MEDIUM | CVE-2025-68146 | 6.3 |
AI Threat Alert