AI Threat Alert
Supply Chain
AI/ML systems sit on a long dependency chain: package managers (PyPI, npm, Cargo), model registries (HuggingFace Hub, Ollama Library), and dataset repositories. Each is a viable attack surface. Common patterns include typosquatting of popular AI packages, malicious post-install scripts in npm/PyPI uploads, and unsafe deserialization in shared model files — PyTorch and pickle-based formats can execute arbitrary code on load, which is why HuggingFace introduced the safer safetensors format. Model-registry attacks have included planting backdoored fine-tunes of popular base models that pass benchmark eval but misbehave on attacker-chosen triggers. Dataset poisoning is the slowest variant: an attacker who can influence a public training corpus inserts content that later teaches downstream models a backdoor. Defenses: pinned versions, signature verification, safetensors over pickle, provenance attestation (SLSA), and scanning model files before load.
| Severity | CVE | Headline | Package | CVSS |
|---|---|---|---|---|
| HIGH | CVE-2025-62609 | mlx: security flaw enables exploitation | mlx | 7.5 |
| CRITICAL | CVE-2023-1177 | MLflow: path traversal allows arbitrary file read/write | mlflow | 9.8 |
| CRITICAL | CVE-2023-2780 | MLflow: path traversal allows arbitrary file read/write | mlflow | 9.8 |
| CRITICAL | CVE-2023-3765 | MLflow: path traversal allows arbitrary file read | mlflow | 10.0 |
| HIGH | CVE-2023-4033 | MLflow: OS command injection enables local code execution | mlflow | 7.8 |
| HIGH | CVE-2023-6015 | MLflow: unauthenticated arbitrary file write via PUT | mlflow | 7.5 |
| CRITICAL | CVE-2023-6018 | MLflow: unauth file overwrite enables model poisoning | mlflow | 9.8 |
| CRITICAL | CVE-2023-6014 | MLflow: auth bypass allows arbitrary account creation | mlflow | 9.8 |
| HIGH | CVE-2023-6709 | MLflow: SSTI enables RCE in ML experiment tracking | mlflow | 8.8 |
| HIGH | CVE-2023-6753 | MLflow: path traversal exposes arbitrary file read/write | mlflow | 8.8 |
| HIGH | CVE-2023-6831 | MLflow: path traversal allows arbitrary file write | mlflow | 8.1 |
| CRITICAL | CVE-2024-27132 | MLflow: XSS in recipes enables client-side RCE | mlflow | 9.6 |
| CRITICAL | CVE-2024-27133 | MLflow: XSS in recipe runner enables Jupyter RCE | mlflow | 9.6 |
| HIGH | CVE-2024-1560 | MLflow: path traversal allows arbitrary directory deletion | mlflow | 8.1 |
| HIGH | CVE-2024-37052 | MLflow: RCE via malicious scikit-learn model upload | mlflow | 8.8 |
| HIGH | CVE-2024-37053 | MLflow: RCE via malicious scikit-learn model deserialization | mlflow | 8.8 |
| HIGH | CVE-2024-37054 | MLflow: deserialization RCE via malicious PyFunc model | mlflow | 8.8 |
| HIGH | CVE-2024-37055 | MLflow: RCE via pmdarima model deserialization | mlflow | 8.8 |
| HIGH | CVE-2024-37056 | MLflow: RCE via LightGBM model deserialization | mlflow | 8.8 |
| HIGH | CVE-2024-37060 | MLflow: RCE via deserialization in crafted Recipes | mlflow | 8.8 |