When tf.raw_ops.ImageProjectiveTransformV2 is given a large output shape, it overflows.
import tensorflow as tf
interpolation = "BILINEAR"
fill_mode = "REFLECT"
images = tf.constant(0.184634328, shape=[2,5,8,3], dtype=tf.float32)
transforms = tf.constant(0.378575385, shape=[2,8], dtype=tf.float32)
output_shape = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)
tf.raw_ops.ImageProjectiveTransformV2(images=images, transforms=transforms, output_shape=output_shape, interpolation=interpolation, fill_mode=fill_mode)
We have patched the issue in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Neophytos Christou from the Secure Systems Lab (SSL) at Brown University.
| Score | Percentile |
|---|---|
| 0.14% | 34.49% |
| Base score | Version | Severity | Vector |
|---|---|---|---|
| 4.8 | 3.1 | — |
|
| Type | Value |
|---|---|
| GHSA | GHSA-54pp-c6pp-7fpx ↗ |
| CVE | CVE-2022-41886 ↗ |
| CWE id | Name |
|---|---|
| CWE-131 | Incorrect Calculation of Buffer Size |
Vulnerable version ranges and first patched releases as published by GitHub.
| Ecosystem | Package | Vulnerable range | First patched | Vulnerable functions |
|---|---|---|---|---|
| pip | tensorflow | < 2.8.4 | 2.8.4 | — |
| pip | tensorflow | >= 2.9.0, < 2.9.3 | 2.9.3 | — |
| pip | tensorflow | >= 2.10.0, < 2.10.1 | 2.10.1 | — |
| pip | tensorflow-cpu | < 2.8.4 | 2.8.4 | — |
| pip | tensorflow-gpu | < 2.8.4 | 2.8.4 | — |
| pip | tensorflow-cpu | >= 2.9.0, < 2.9.3 | 2.9.3 | — |
| pip | tensorflow-gpu | >= 2.9.0, < 2.9.3 | 2.9.3 | — |
| pip | tensorflow-cpu | >= 2.10.0, < 2.10.1 | 2.10.1 | — |
| pip | tensorflow-gpu | >= 2.10.0, < 2.10.1 | 2.10.1 | — |