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Security Fix for Arbitrary Code Execution - huntr.dev #1120

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Security Fix for Arbitrary Code Execution - huntr.dev #1120

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39db6a9
possible fix for rce in eval()
d3m0n-r00t Jan 27, 2021
0707e18
possible fix for rce in eval()
d3m0n-r00t Jan 27, 2021
9129db3
Merge pull request #1 from d3m0n-r00t/master
Feb 19, 2021
459f716
Merge branch 'master' into 1-pip-tensorlayer
Laicheng0830 Feb 23, 2021
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10 changes: 5 additions & 5 deletions tensorlayer/files/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@
import pickle
import re
import shutil
# import ast
import ast
import sys
import tarfile
import time
Expand Down Expand Up @@ -231,25 +231,25 @@ def eval_layer(layer_kwargs):
layer_type = args.pop('layer_type')
if layer_type == "normal":
generate_func(args)
return eval('tl.layers.' + layer_class)(**args)
return ast.literal_eval('tl.layers.' + layer_class)(**args)
elif layer_type == "layerlist":
ret_layer = []
layers = args["layers"]
for layer_graph in layers:
ret_layer.append(eval_layer(layer_graph))
args['layers'] = ret_layer
return eval('tl.layers.' + layer_class)(**args)
return ast.literal_eval('tl.layers.' + layer_class)(**args)
elif layer_type == "modellayer":
M = static_graph2net(args['model'])
args['model'] = M
return eval('tl.layers.' + layer_class)(**args)
return ast.literal_eval('tl.layers.' + layer_class)(**args)
elif layer_type == "keraslayer":
M = load_keras_model(args['fn'])
input_shape = args.pop('keras_input_shape')
_ = M(np.random.random(input_shape).astype(np.float32))
args['fn'] = M
args['fn_weights'] = M.trainable_variables
return eval('tl.layers.' + layer_class)(**args)
return ast.literal_eval('tl.layers.' + layer_class)(**args)
else:
raise RuntimeError("Unknown layer type.")

Expand Down