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CVE-2022-41886

Overflow in `ImageProjectiveTransformV2` in Tensorflow

4.8 MediumFix available

TensorFlow is an open source platform for machine learning. When tf.raw_ops.ImageProjectiveTransformV2 is given a large output shape, it overflows. 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.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
High
Privileges needed
Low
User interaction
Required

What an attacker can affect

Confidentiality
None
Integrity
None
Availability
High

Exploit likelihood

0.48%Down 0.4 points since Nov 19, 2022
90%50%10%1%

What each source reports

CVE List Score used 4.8

Overflow in `ImageProjectiveTransformV2` in Tensorflow

TensorFlow is an open source platform for machine learning. When tf.raw_ops.ImageProjectiveTransformV2 is given a large output shape, it overflows. 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.

Record
CVE-2022-41886
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weakness
CWE-131
Updated
2026-11-02
EUVDEUVD-2022-7234 4.8

TensorFlow is an open source platform for machine learning. When tf.raw_ops.ImageProjectiveTransformV2 is given a large output shape, it overflows. 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.

Record
EUVD-2022-7234
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Updated
2026-11-02
GitHub AdvisoriesGHSA-54pp-c6pp-7fpx 4.8

Overflow in `ImageProjectiveTransformV2`

Impact

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)

Patches

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.

For more information

Please consult our security guide 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 the Secure Systems Lab (SSL) at Brown University.

Record
GHSA-54pp-c6pp-7fpx
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weakness
CWE-131
Updated
2026-11-02
NVD 4.8

TensorFlow is an open source platform for machine learning. When tf.raw_ops.ImageProjectiveTransformV2 is given a large output shape, it overflows. 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.

Record
CVE-2022-41886
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
CVSS 3.1
7.5 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness
CWE-131
Updated
2026-11-02
OSVAZL-11526 7.5

CVE-2022-41886 affecting package tensorflow for versions less than 2.11.0-1

TensorFlow is an open source platform for machine learning. When tf.raw_ops.ImageProjectiveTransformV2 is given a large output shape, it overflows. 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.

Record
AZL-11526
CVSS 3.1
7.5 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSV 4.8

Overflow in `ImageProjectiveTransformV2` in Tensorflow

TensorFlow is an open source platform for machine learning. When tf.raw_ops.ImageProjectiveTransformV2 is given a large output shape, it overflows. 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.

Record
CVE-2022-41886
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weakness
CWE-131
Updated
2026-11-02
Show 5 moreShow less
OSVGHSA-54pp-c6pp-7fpx 4.8

Overflow in `ImageProjectiveTransformV2`

Impact

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)

Patches

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.

For more information

Please consult our security guide 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 the Secure Systems Lab (SSL) at Brown University.

Record
GHSA-54pp-c6pp-7fpx
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weakness
CWE-131
Updated
2026-11-02
OSVPYSEC-2026-3105 4.8

Overflow in `ImageProjectiveTransformV2`

Impact

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)

Patches

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.

For more information

Please consult our security guide 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 the Secure Systems Lab (SSL) at Brown University.

Record
PYSEC-2026-3105
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSVPYSEC-2026-3275 4.8

Overflow in `ImageProjectiveTransformV2`

Impact

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)

Patches

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.

For more information

Please consult our security guide 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 the Secure Systems Lab (SSL) at Brown University.

Record
PYSEC-2026-3275
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSVPYSEC-2026-951 4.8

Overflow in `ImageProjectiveTransformV2`

Impact

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)

Patches

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.

For more information

Please consult our security guide 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 the Secure Systems Lab (SSL) at Brown University.

Record
PYSEC-2026-951
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSVBIT-tensorflow-2022-41886 No score

Overflow in `ImageProjectiveTransformV2` in Tensorflow

TensorFlow is an open source platform for machine learning. When tf.raw_ops.ImageProjectiveTransformV2 is given a large output shape, it overflows. 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.

Record
BIT-tensorflow-2022-41886
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
tensorflow
PyPI
 before 2.8.4
2.8.4
tensorflow
PyPI
 2.9.0 up to 2.9.3
2.9.3
tensorflow
PyPI
 2.10.0 up to 2.10.1
2.10.1
tensorflow-cpu
PyPI
 before 2.8.4
2.8.4
tensorflow-gpu
PyPI
 before 2.8.4
2.8.4
tensorflow-cpu
PyPI
 2.9.0 up to 2.9.3
2.9.3
tensorflow-gpu
PyPI
 2.9.0 up to 2.9.3
2.9.3
tensorflow-cpu
PyPI
 2.10.0 up to 2.10.1
2.10.1
tensorflow-gpu
PyPI
 2.10.0 up to 2.10.1
2.10.1
tensorflow
Azure Linux:2
 before 2.11.0-1
2.11.0-1
Show 10 moreShow less
Affected packages
PackageAffectedFixed
tensorflow
Bitnami
 before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1
2.8.42.9.32.10.1
tensorflow
PyPI
 before 2.8.4, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.8.4
tensorflow
PyPI
 2.9.0 up to 2.9.3, plus listed versions
2.9.12.9.2
2.9.3
tensorflow-cpu
PyPI
 before 2.8.4, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
Show 34 moreShow less
2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.32.7.42.8.02.8.12.8.22.8.3
2.8.4
tensorflow-gpu
PyPI
 before 2.8.4, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.8.4
tensorflow-cpu
PyPI
 2.9.0 up to 2.9.3, plus listed versions
2.9.12.9.2
2.9.3
tensorflow-gpu
PyPI
 2.9.0 up to 2.9.3, plus listed versions
2.9.12.9.2
2.9.3
tensorflow
PyPI
 before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.8.42.9.32.10.1
tensorflow-cpu
PyPI
 before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
Show 36 moreShow less
2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.32.7.42.8.02.8.12.8.22.8.32.9.12.9.2
2.8.42.9.32.10.1
tensorflow-gpu
PyPI
 before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.8.42.9.32.10.1

History

History
RecordedChangedSources
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2022-41886 is a medium vulnerability (CVSS 4.8) in Google Tensorflow, published November 18, 2022. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.48%, the 41st percentile. Fixed in tensorflow 2.8.4.

References

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