rpm package
suse/tensorflow2&distro=SUSE Package Hub 15 SP3
pkg:rpm/suse/tensorflow2&distro=SUSE%20Package%20Hub%2015%20SP3
Vulnerabilities (63)
| CVE | Sev | CVSS | KEV | Affected versions | Fixed in | Published | Description |
|---|---|---|---|---|---|---|---|
| CVE-2021-37690 | Med | 6.6 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | 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 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | 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 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | 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 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | 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 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | 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 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | 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 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | 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 | |
| CVE-2021-37682 | Med | 4.4 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions all TFLite operations that use quantization can be made to use unitialized values. [For example](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tens | |
| CVE-2021-37679 | Hig | 7.1 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output | |
| CVE-2021-37678 | Cri | 9.3 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The [implementation](https://github.com/tensorflow/tensorflow/blo | |
| CVE-2021-37677 | Med | 5.5 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inferenc | |
| CVE-2021-37674 | Med | 5.5 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow | |
| CVE-2021-37673 | Med | 5.5 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1 | |
| CVE-2021-37672 | Med | 5.5 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/t | |
| CVE-2021-37670 | Med | 5.5 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensor | |
| CVE-2021-37669 | Med | 5.5 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorf | |
| CVE-2021-37668 | Med | 5.5 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.UnravelIndex` by triggering a division by 0. The [implementation](https://github.com/tensorflow/ten | |
| CVE-2021-37665 | Hig | 7.8 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bo | |
| CVE-2021-37663 | Hig | 7.8 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | Aug 12, 2021 | TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in `tf.raw_ops.QuantizeV2`, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap | |
| CVE-2021-37689 | Hig | 7.8 | < 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 | 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 null pointer dereference, which would result in a crash and denial of service. This is caused by the MLIR optimization of `L2Norma |
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
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 < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
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 < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
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 < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
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 < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
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 < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
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 < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
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-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions all TFLite operations that use quantization can be made to use unitialized values. [For example](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tens
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The [implementation](https://github.com/tensorflow/tensorflow/blo
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inferenc
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/t
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensor
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorf
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.UnravelIndex` by triggering a division by 0. The [implementation](https://github.com/tensorflow/ten
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bo
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in `tf.raw_ops.QuantizeV2`, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap
- affected < 2.6.0-bp153.2.3.1fixed 2.6.0-bp153.2.3.1
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 null pointer dereference, which would result in a crash and denial of service. This is caused by the MLIR optimization of `L2Norma
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