CVE-2021-41209 (published 2021-11-05T22:15Z)

TensorFlow is an open source platform for machine learning. In affected versions the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Severity: LOW
CVSS v2 base score: 2.1 (AV:L/AC:L/Au:N/C:N/I:N/A:P)
CVSS v3 base score: 5.5, MEDIUM (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)

Weakness information:
cwe_id: CWE-369
cwe_name: Divide By Zero
description: The product divides a value by zero.
extended_description: This weakness typically occurs when an unexpected value is provided to the product, or if an error occurs that is not properly detected. It frequently occurs in calculations involving physical dimensions such as size, length, width, and height.
         

Fix information:
repo_url: https://github.com/tensorflow/tensorflow
commit_details: repo_url: https://github.com/tensorflow/tensorflow
author: Rohan Jain
author_date: 2021-10-12 08:29:53-07:00
msg: Adding more validation checks to _ParallelConcatUpdate to avoid NPE.

PiperOrigin-RevId: 402569467
Change-Id: I2db122dab68be2a5e4e8dd3375f5a70c4d2307ec
repository: repo_url: https://github.com/tensorflow/tensorflow
repo_name: tensorflow/tensorflow
description: An Open Source Machine Learning Framework for Everyone
repo_language: C++
owner: tensorflow
file_changes: filename: inplace_ops.cc
change_type: ModificationType.MODIFY
diff: @@ -71,6 +71,15 @@ class ParallelConcatUpdate : public OpKernel {
 
   void Compute(OpKernelContext* ctx) override {
     auto value = ctx->input(0);
+    // Value should be at least rank 1. Also the 0th dimension should be
+    // at least loc_.
+    OP_REQUIRES(ctx, value.dims() >= 1,
+                errors::InvalidArgument("value should be at least rank 1."));
+    OP_REQUIRES(
+        ctx, value.dim_size(0) > loc_,
+        errors::InvalidArgument("0th dimension of value = ", value.dim_size(0),
+                                " is less than loc_=", loc_));
+
     auto update = ctx->input(1);
 
     OP_REQUIRES(

programming_language: C++
filename: stack_op_test.py
change_type: ModificationType.MODIFY
diff: @@ -16,12 +16,16 @@
 
 import numpy as np
 
+from tensorflow.python import tf2
 from tensorflow.python.eager import context
+from tensorflow.python.eager import def_function
 from tensorflow.python.framework import constant_op
 from tensorflow.python.framework import dtypes
+from tensorflow.python.framework import errors
 from tensorflow.python.framework import ops
 from tensorflow.python.framework import test_util
 from tensorflow.python.ops import array_ops
+from tensorflow.python.ops import gen_array_ops
 from tensorflow.python.ops import gradient_checker_v2
 from tensorflow.python.platform import test
 
@@ -69,6 +73,19 @@ class StackOpTest(test.TestCase):
             c = array_ops.parallel_stack(xs)
             self.assertAllEqual(c, data)
 
+  def testParallelConcatShapeZero(self):
+    if not tf2.enabled():
+      self.skipTest("only fails in TF2")
+
+    @def_function.function
+    def f():
+      y = gen_array_ops.parallel_concat(values=[["tf"]], shape=0)
+      return y
+
+    with self.assertRaisesRegex(errors.InvalidArgumentError,
+                                r"0th dimension of value .* is less than"):
+      f()
+
   def testSimpleParallelGPU(self):
     # tf.parallel_stack is only supported in graph mode.
     with ops.Graph().as_default():

programming_language: Python