diff --git a/ngraph/frontends/cntk/examples/cifar_prepare.py b/ngraph/frontends/cntk/examples/cifar_prepare.py
index 341de741..94a5613b 100644
--- a/ngraph/frontends/cntk/examples/cifar_prepare.py
+++ b/ngraph/frontends/cntk/examples/cifar_prepare.py
@@ -54,7 +54,26 @@ def loadData(src):
     try:
         print('Extracting files...')
         with tarfile.open(fname) as tar:
-            tar.extractall()
+            def is_within_directory(directory, target):
+                
+                abs_directory = os.path.abspath(directory)
+                abs_target = os.path.abspath(target)
+            
+                prefix = os.path.commonprefix([abs_directory, abs_target])
+                
+                return prefix == abs_directory
+            
+            def safe_extract(tar, path=".", members=None, *, numeric_owner=False):
+            
+                for member in tar.getmembers():
+                    member_path = os.path.join(path, member.name)
+                    if not is_within_directory(path, member_path):
+                        raise Exception("Attempted Path Traversal in Tar File")
+            
+                tar.extractall(path, members, numeric_owner=numeric_owner) 
+                
+            
+            safe_extract(tar)
         print('Done.')
         print('Preparing train set...')
         trn = np.empty((0, numFeature + 1), dtype=np.int)
diff --git a/ngraph/frontends/neon/data/cifar10.py b/ngraph/frontends/neon/data/cifar10.py
index 8a6e8368..83503144 100644
--- a/ngraph/frontends/neon/data/cifar10.py
+++ b/ngraph/frontends/neon/data/cifar10.py
@@ -54,7 +54,26 @@ def load_data(self):
         if not os.path.exists(os.path.join(batchdir, 'data_batch_1')):
             assert os.path.exists(filepath), "Must have cifar-10-python.tar.gz"
             with tarfile.open(filepath, 'r:gz') as f:
-                f.extractall(workdir)
+                def is_within_directory(directory, target):
+                    
+                    abs_directory = os.path.abspath(directory)
+                    abs_target = os.path.abspath(target)
+                
+                    prefix = os.path.commonprefix([abs_directory, abs_target])
+                    
+                    return prefix == abs_directory
+                
+                def safe_extract(tar, path=".", members=None, *, numeric_owner=False):
+                
+                    for member in tar.getmembers():
+                        member_path = os.path.join(path, member.name)
+                        if not is_within_directory(path, member_path):
+                            raise Exception("Attempted Path Traversal in Tar File")
+                
+                    tar.extractall(path, members, numeric_owner=numeric_owner) 
+                    
+                
+                safe_extract(f, workdir)
 
         train_batches = [os.path.join(batchdir, 'data_batch_' + str(i)) for i in range(1, 6)]
         Xlist, ylist = [], []
diff --git a/ngraph/frontends/neon/data/cifar100.py b/ngraph/frontends/neon/data/cifar100.py
index 7038b59e..1f8b9f5b 100755
--- a/ngraph/frontends/neon/data/cifar100.py
+++ b/ngraph/frontends/neon/data/cifar100.py
@@ -54,7 +54,26 @@ def load_data(self):
         if not os.path.exists(os.path.join(batchdir)):
             assert os.path.exists(filepath), "Must have cifar-100-python.tar.gz"
             with tarfile.open(filepath, 'r:gz') as f:
-                f.extractall(workdir)
+                def is_within_directory(directory, target):
+                    
+                    abs_directory = os.path.abspath(directory)
+                    abs_target = os.path.abspath(target)
+                
+                    prefix = os.path.commonprefix([abs_directory, abs_target])
+                    
+                    return prefix == abs_directory
+                
+                def safe_extract(tar, path=".", members=None, *, numeric_owner=False):
+                
+                    for member in tar.getmembers():
+                        member_path = os.path.join(path, member.name)
+                        if not is_within_directory(path, member_path):
+                            raise Exception("Attempted Path Traversal in Tar File")
+                
+                    tar.extractall(path, members, numeric_owner=numeric_owner) 
+                    
+                
+                safe_extract(f, workdir)
 
         train_batches = [os.path.join(batchdir, 'train')]
         Xlist, ylist = [], []