CVE-2022-41885
Overflow in `FusedResizeAndPadConv2D` in Tensorflow
TensorFlow is an open source platform for machine learning. When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. 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
What each source reports
CVE List Score used
4.8
Overflow in `FusedResizeAndPadConv2D` in Tensorflow
TensorFlow is an open source platform for machine learning. When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. 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-2022-41885- CVSS 3.1
- 4.8 Medium
CVSS: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-2022-7264
4.8
TensorFlow is an open source platform for machine learning. When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. 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-2022-7264- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-762h-vpvw-3rcx
4.8
Overflow in `FusedResizeAndPadConv2D`
Impact
When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows.
import tensorflow as tf
mode = "REFLECT"
strides = [1, 1, 1, 1]
padding = "SAME"
resize_align_corners = False
input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16)
size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)
paddings = tf.constant([3,4], shape=[2], dtype=tf.int32)
filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16)
tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners)
Patches
We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce.
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-762h-vpvw-3rcx- CVSS 3.1
- 4.8 Medium
CVSS: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.FusedResizeAndPadConv2D is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. 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-2022-41885- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - CVSS 3.1
- 7.5 High
CVSS: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
OSV
4.8
Overflow in `FusedResizeAndPadConv2D` in Tensorflow
TensorFlow is an open source platform for machine learning. When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. 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-2022-41885- CVSS 3.1
- 4.8 Medium
CVSS: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
OSVGHSA-762h-vpvw-3rcx
4.8
Overflow in `FusedResizeAndPadConv2D`
Impact
When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows.
import tensorflow as tf
mode = "REFLECT"
strides = [1, 1, 1, 1]
padding = "SAME"
resize_align_corners = False
input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16)
size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)
paddings = tf.constant([3,4], shape=[2], dtype=tf.int32)
filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16)
tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners)
Patches
We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce.
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-762h-vpvw-3rcx- CVSS 3.1
- 4.8 Medium
CVSS: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 4 moreShow less
OSVPYSEC-2026-3126
4.8
Overflow in `FusedResizeAndPadConv2D`
Impact
When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows.
import tensorflow as tf
mode = "REFLECT"
strides = [1, 1, 1, 1]
padding = "SAME"
resize_align_corners = False
input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16)
size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)
paddings = tf.constant([3,4], shape=[2], dtype=tf.int32)
filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16)
tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners)
Patches
We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce.
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-2026-3126- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVPYSEC-2026-3290
4.8
Overflow in `FusedResizeAndPadConv2D`
Impact
When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows.
import tensorflow as tf
mode = "REFLECT"
strides = [1, 1, 1, 1]
padding = "SAME"
resize_align_corners = False
input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16)
size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)
paddings = tf.constant([3,4], shape=[2], dtype=tf.int32)
filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16)
tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners)
Patches
We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce.
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-2026-3290- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVPYSEC-2026-964
4.8
Overflow in `FusedResizeAndPadConv2D`
Impact
When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows.
import tensorflow as tf
mode = "REFLECT"
strides = [1, 1, 1, 1]
padding = "SAME"
resize_align_corners = False
input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16)
size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)
paddings = tf.constant([3,4], shape=[2], dtype=tf.int32)
filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16)
tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners)
Patches
We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce.
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-2026-964- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVBIT-tensorflow-2022-41885 No score
Overflow in `FusedResizeAndPadConv2D` in Tensorflow
TensorFlow is an open source platform for machine learning. When tf.raw_ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. 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-2022-41885- Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
tensorflowPyPI |
before 2.7.4 | 2.7.4 |
tensorflowPyPI |
2.8.0 up to 2.8.1 | 2.8.1 |
tensorflowPyPI |
2.9.0 up to 2.9.1 | 2.9.1 |
tensorflow-cpuPyPI |
before 2.7.4 | 2.7.4 |
tensorflow-gpuPyPI |
before 2.7.4 | 2.7.4 |
tensorflow-cpuPyPI |
2.8.0 up to 2.8.1 | 2.8.1 |
tensorflow-gpuPyPI |
2.8.0 up to 2.8.1 | 2.8.1 |
tensorflow-cpuPyPI |
2.9.0 up to 2.9.1 | 2.9.1 |
tensorflow-gpuPyPI |
2.9.0 up to 2.9.1 | 2.9.1 |
tensorflowBitnami |
before 2.7.4, 2.8.0 up to 2.8.1, 2.9.0 up to 2.9.1 | 2.7.42.8.12.9.1 |
Show 6 moreShow less
| Package | Affected | Fixed |
|---|---|---|
tensorflowPyPI |
before 2.7.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4 |
2.7.4 |
tensorflow-cpuPyPI |
before 2.7.4, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 Show 29 moreShow less2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.3 |
2.7.4 |
tensorflow-gpuPyPI |
before 2.7.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4 |
2.7.4 |
tensorflowPyPI |
before 2.7.4, 2.8.0 up to 2.8.1, 2.9.0 up to 2.9.1, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4 |
2.7.42.8.12.9.1 |
tensorflow-cpuPyPI |
before 2.7.4, 2.8.0 up to 2.8.1, 2.9.0 up to 2.9.1, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 Show 29 moreShow less2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.3 |
2.7.42.8.12.9.1 |
tensorflow-gpuPyPI |
before 2.7.4, 2.8.0 up to 2.8.1, 2.9.0 up to 2.9.1, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4 |
2.7.42.8.12.9.1 |
History
| Recorded | Changed | Sources |
|---|---|---|
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2022-41885 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 0.47%, the 41st percentile. Fixed in tensorflow 2.7.4.
References
github.com/tensorflow/tensorflow/security/advisories/GHSA-762h-vpvw-3rcx
github.com/tensorflow/tensorflow/commit/d66e1d568275e6a2947de97dca7a102a211e01ce
github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/conv_ops_fused_image_transform.cc
nvd.nist.gov/vuln/detail/CVE-2022-41885
github.com/advisories/GHSA-762h-vpvw-3rcx
github.com/CVEProject/cvelistV5/tree/main/cves/2022/41xxx/CVE-2022-41885.json
Left out here: 90 versions. The JSON record has them.