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| purl | pkg:pypi/tensorflow-cpu@2.11.0 |
| Vulnerability | Summary | Fixed by |
|---|---|---|
|
VCID-2vyy-ktxf-y7hj
Aliases: CVE-2023-25666 GHSA-f637-vh3r-vfh2 |
Incorrect Comparison TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a floating point exception in AudioSpectrogram. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-3yjn-h25c-v3gb
Aliases: CVE-2023-25667 GHSA-fqm2-gh8w-gr68 |
Integer Overflow or Wraparound TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-6cr3-ywr5-f7e6
Aliases: CVE-2023-25668 GHSA-gw97-ff7c-9v96 |
Heap-based Buffer Overflow TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-6nyr-2edx-5qg6
Aliases: CVE-2023-33976 GHSA-gjh7-xx4r-x345 |
Affected by 0 other vulnerabilities. |
|
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VCID-8dhx-4a17-rbcj
Aliases: CVE-2023-25670 GHSA-49rq-hwc3-x77w |
NULL Pointer Dereference TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-9686-ufak-6ufd
Aliases: CVE-2023-25673 GHSA-647v-r7qq-24fh |
Incorrect Comparison TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-ayew-3cca-tyhz
Aliases: CVE-2023-25676 GHSA-6wfh-89q8-44jq |
NULL Pointer Dereference TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.ParallelConcat` segfaults with a nullptr dereference when given a parameter `shape` with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-d6hn-ppha-buc1
Aliases: CVE-2023-25669 GHSA-rcf8-g8jv-vg6p |
Incorrect Comparison TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-dbu5-btf9-2bee
Aliases: CVE-2023-25660 GHSA-qjqc-vqcf-5qvj |
NULL Pointer Dereference TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray<bool>` will reference to a nullptr, leading to a seg fault. A fix is included in TensorFlow version 2.12 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-dgbb-1rft-7kdr
Aliases: CVE-2023-25662 GHSA-7jvm-xxmr-v5cw |
Integer Overflow or Wraparound TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 is vulnerable to integer overflow in EditDistance. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-djkj-bbaq-6kdr
Aliases: CVE-2023-25674 GHSA-gf97-q72m-7579 |
NULL Pointer Dereference TensorFlow is an open source machine learning platform. Versions prior to 2.12.0 and 2.11.1 have a null pointer error in RandomShuffle with XLA enabled. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
Affected by 1 other vulnerability. |
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VCID-dx1v-hfa1-xfg6
Aliases: CVE-2023-25665 GHSA-558h-mq8x-7q9g |
NULL Pointer Dereference TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `SparseSparseMaximum` is given invalid sparse tensors as inputs, it can give a null pointer error. A fix is included in TensorFlow version 2.12 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-f58d-1zga-jkf2
Aliases: CVE-2023-25663 GHSA-64jg-wjww-7c5w |
NULL Pointer Dereference TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `ctx->step_containter()` is a null ptr, the Lookup function will be executed with a null pointer. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-gecu-uvpb-6yak
Aliases: CVE-2023-25661 GHSA-fxgc-95xx-grvq |
TensorFlow Denial of Service vulnerability ### Impact A malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. To minimize the bug, we built a simple single-layer TensorFlow model containing a Convolution3DTranspose layer, which works well with expected inputs and can be deployed in real-world systems. However, if we call the model with a malicious input which has a zero dimension, it gives Check Failed failure and crashes. ```python import tensorflow as tf class MyModel(tf.keras.Model): def __init__(self): super().__init__() self.conv = tf.keras.layers.Convolution3DTranspose(2, [3,3,3], padding="same") def call(self, input): return self.conv(input) model = MyModel() # Defines a valid model. x = tf.random.uniform([1, 32, 32, 32, 3], minval=0, maxval=0, dtype=tf.float32) # This is a valid input. output = model.predict(x) print(output.shape) # (1, 32, 32, 32, 2) x = tf.random.uniform([1, 32, 32, 0, 3], dtype=tf.float32) # This is an invalid input. output = model(x) # crash ``` This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. ### Patches We have patched the issue in - GitHub commit [948fe6369a5711d4b4568ea9bbf6015c6dfb77e2](https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015c6dfb77e2) - GitHub commit [85db5d07db54b853484bfd358c3894d948c36baf](https://github.com/keras-team/keras/commit/85db5d07db54b853484bfd358c3894d948c36baf). The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1 ### 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. |
Affected by 1 other vulnerability. |
|
VCID-gpta-cf34-vkfe
Aliases: CVE-2023-25659 GHSA-93vr-9q9m-pj8p |
Out-of-bounds Read TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the parameter `indices` for `DynamicStitch` does not match the shape of the parameter `data`, it can trigger an stack OOB read. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
Affected by 1 other vulnerability. |
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VCID-hdyy-j28t-wyc1
Aliases: CVE-2023-25664 GHSA-6hg6-5c2q-7rcr |
Heap-based Buffer Overflow TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-r6tc-xmds-nyhv
Aliases: CVE-2023-25671 GHSA-j5w9-hmfh-4cr6 |
Out-of-bounds Write TensorFlow is an open source platform for machine learning. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-s8hv-3hsb-mfca
Aliases: CVE-2023-27579 GHSA-5w96-866f-6rm8 |
Incorrect Comparison TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-sxk5-athp-f7f1
Aliases: CVE-2023-25672 GHSA-94mm-g2mv-8p7r |
NULL Pointer Dereference TensorFlow is an open source platform for machine learning. The function `tf.raw_ops.LookupTableImportV2` cannot handle scalars in the `values` parameter and gives an NPE. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-u133-f98p-zqec
Aliases: CVE-2023-25675 GHSA-7x4v-9gxg-9hwj |
Incorrect Comparison TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-uwq2-a5hb-9fhd
Aliases: CVE-2023-25658 GHSA-68v3-g9cm-rmm6 |
Out-of-bounds Read TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out-of-bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
Affected by 1 other vulnerability. |
|
VCID-uxg4-9qfy-tbg6
Aliases: CVE-2023-25801 GHSA-f49c-87jh-g47q |
Double Free TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
Affected by 1 other vulnerability. |
| Vulnerability | Summary | Aliases |
|---|---|---|
| This package is not known to fix vulnerabilities. | ||