CVE-2021-29610

LOW3.6EPSS 0.01%

Invalid validation in `QuantizeAndDequantizeV2`

發布日:2021/5/21修改日:2026/3/13

描述

### Impact The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument: ```python import tensorflow as tf input_tensor = tf.constant([0.0], shape=[1], dtype=float) input_min = tf.constant(-10.0) input_max = tf.constant(-10.0) tf.raw_ops.QuantizeAndDequantizeV2( input=input_tensor, input_min=input_min, input_max=input_max, signed_input=False, num_bits=1, range_given=False, round_mode='HALF_TO_EVEN', narrow_range=False, axis=-2) ``` The [validation](https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions: ```cc OP_REQUIRES(ctx, (axis_ == -1 || axis_ < input.shape().dims()), errors::InvalidArgument(...)); ``` If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. ### Patches We have patched the issue in GitHub commit [c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9](https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.

受影響套件(7)

  • Bitnami/tensorflowfrom 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
  • PyPI/tensorflowfrom 0, < 2.1.4
  • PyPI/tensorflowfrom 0, < c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9 | from 0, < 2.2.0rc0, >= 2.2.0, < 2.3.0rc0, >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
  • PyPI/tensorflow-cpufrom 0, < c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9 | from 0, < 2.2.0rc0, >= 2.2.0, < 2.3.0rc0, >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
  • PyPI/tensorflow-cpufrom 0, < 2.1.4
  • PyPI/tensorflow-gpufrom 0, < c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9 | from 0, < 2.2.0rc0, >= 2.2.0, < 2.3.0rc0, >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
  • PyPI/tensorflow-gpufrom 0, < 2.1.4

CVSS 分數

來源版本嚴重程度向量
osvCVSS 4.0—CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N
osvCVSS 3.1LOW3.6CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L

參考連結(7)