PyPI package
tensorflow-gpu
pkg:pypi/tensorflow-gpu
Vulnerabilities (421)
| CVE | Sev | CVSS | KEV | Affected versions | Fixed in | Published | Description |
|---|---|---|---|---|---|---|---|
| CVE-2021-41212 | Hig | 7.1 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on Tenso | |
| CVE-2021-41211 | Hig | 7.1 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing | |
| CVE-2021-41205 | Hig | 7.1 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also che | |
| CVE-2021-41204 | Med | 5.5 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. The fix will be i | |
| CVE-2021-41203 | Hig | 7.8 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints load | |
| CVE-2021-41210 | Hig | 7.1 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for `SparseCountSparseOutput` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this co | |
| CVE-2021-41201 | Hig | 7.8 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the correspond | |
| CVE-2021-41200 | Med | 5.5 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions if `tf.summary.create_file_writer` is called with non-scalar arguments code crashes due to a `CHECK`-fail. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorF | |
| CVE-2021-41199 | Med | 5.5 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions if `tf.image.resize` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too mu | |
| CVE-2021-41198 | Med | 5.5 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for t | |
| CVE-2021-41197 | Med | 5.5 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an over | |
| CVE-2021-41196 | Med | 5.5 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in th | |
| CVE-2021-41195 | Med | 5.5 | >= 2.6.0, < 2.6.1 | 2.6.1 | Nov 5, 2021 | TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and | |
| CVE-2021-37690 | Med | 6.6 | < 2.3.4 | 2.3.4 | Aug 13, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions (such as `MutableHashTableShape`) produce extra output information in the form of a `ShapeAndType` struct. The shapes embedded in this struct a | |
| CVE-2021-37692 | Med | 5.5 | >= 2.5.0rc0, < 2.5.1 | 2.5.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, `C.TF_TString_Dealloc` is called during garbage collection within a finalizer function. | |
| CVE-2021-37691 | Med | 5.5 | < 2.3.4 | 2.3.4 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b810 | |
| CVE-2021-37687 | Med | 5.5 | < 2.3.4 | 2.3.4 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support nega | |
| CVE-2021-37685 | Med | 5.5 | < 2.3.4 | 2.3.4 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability | |
| CVE-2021-37684 | Med | 5.5 | < 2.3.4 | 2.3.4 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit [dfa22b348b70bb8 | |
| CVE-2021-37683 | Med | 5.5 | < 2.3.4 | 2.3.4 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/ker |
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on Tenso
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also che
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. The fix will be i
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints load
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for `SparseCountSparseOutput` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this co
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the correspond
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions if `tf.summary.create_file_writer` is called with non-scalar arguments code crashes due to a `CHECK`-fail. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorF
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions if `tf.image.resize` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too mu
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for t
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an over
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in th
- affected >= 2.6.0, < 2.6.1fixed 2.6.1
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and
- affected < 2.3.4fixed 2.3.4
TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions (such as `MutableHashTableShape`) produce extra output information in the form of a `ShapeAndType` struct. The shapes embedded in this struct a
- affected >= 2.5.0rc0, < 2.5.1fixed 2.5.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, `C.TF_TString_Dealloc` is called during garbage collection within a finalizer function.
- affected < 2.3.4fixed 2.3.4
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b810
- affected < 2.3.4fixed 2.3.4
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support nega
- affected < 2.3.4fixed 2.3.4
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability
- affected < 2.3.4fixed 2.3.4
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit [dfa22b348b70bb8
- affected < 2.3.4fixed 2.3.4
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/ker
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