CVE-2021-29528

LOW2.5EPSS 0.01%

Division by 0 in `QuantizedMul`

發布日:2021/5/21修改日:2026/3/13
也稱為:GHSA-6f84-42vf-ppwpBIT-tensorflow-2021-29528PYSEC-2021-165PYSEC-2021-456PYSEC-2021-654

描述

### Impact An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedMul`: ```python import tensorflow as tf x = tf.zeros([4, 1], dtype=tf.quint8) y = tf.constant([], dtype=tf.quint8) min_x = tf.constant(0.0) max_x = tf.constant(0.0010000000474974513) min_y = tf.constant(0.0) max_y = tf.constant(0.0010000000474974513) tf.raw_ops.QuantizedMul(x=x, y=y, min_x=min_x, max_x=max_x, min_y=min_y, max_y=max_y) ``` This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/55900e961ed4a23b438392024912154a2c2f5e85/tensorflow/core/kernels/quantized_mul_op.cc#L188-L198) does a division by a quantity that is controlled by the caller: ```cc template <class T, class Toutput> void VectorTensorMultiply(const T* vector_data, int32 vector_offset, int64 vector_num_elements, const T* tensor_data, int32 tensor_offset, int64 tensor_num_elements, Toutput* output) { for (int i = 0; i < tensor_num_elements; ++i) { const int64 vector_i = i % vector_num_elements; ... } } ``` ### Patches We have patched the issue in GitHub commit [a1b11d2fdd1e51bfe18bb1ede804f60abfa92da6](https://github.com/tensorflow/tensorflow/commit/a1b11d2fdd1e51bfe18bb1ede804f60abfa92da6). 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 Ying Wang and Yakun Zhang of Baidu X-Team.

受影響套件(7)

CVSS 分數

來源版本嚴重程度向量
osvCVSS 4.0CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
osvCVSS 3.1LOW2.5CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

參考連結(7)