CVE-2021-41195

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 segmentids is large. This is similar to CVE-2021-29584 and similar other reported...

PYSEC-2021-805

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 int64t. If an overflow occurs,...

PYSEC-2021-842

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 segmentids is large. This is similar to CVE-2021-29584 and similar other reported...

PYSEC-2021-389

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 the sliding window...

PYSEC-2021-391

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 the int64t type and th...

PYSEC-2021-808

TensorFlow is an open source platform for machine learning. In affected versions if tf.summary.createfilewriter 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 TensorFlow 2.6.1, TensorFlow...

PYSEC-2021-392

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 much for the int64t typ...

PYSEC-2021-846

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 segmentids is large. This is similar to CVE-2021-29584 and similar other reported...

CVE-2021-41200

TensorFlow is an open source platform for machine learning. In affected versions if tf.summary.createfilewriter 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 TensorFlow 2.6.1, TensorFlow...

CVE-2021-41197

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 int64t. If an overflow occurs,...

CVE-2021-41199

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 much for the int64t typ...

GHSA-CH4F-829C-V5PW Division by 0 in `ResourceScatterDiv`

Impact The implementation of tf.rawops.ResourceScatterDiv is vulnerable to a division by 0 error: python import tensorflow as tf v= tf.Variable1,2,3 tf.rawops.ResourceScatterDiv resource=v.handle, indices=1, updates=0 The implementation uses a common class for all binary operations but fails to...

GHSA-JWF9-W5XM-F437 Heap OOB in TFLite's `Gather*` implementations

Impact TFLite's GatherNd implementation does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in indices. Similar issue exists in Gather implementation. python impor...

PYSEC-2021-603

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 are owned by an inferenc...

PYSEC-2021-312

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 are owned by an inferenc...

PYSEC-2021-596

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. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit...

PYSEC-2021-305

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. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit...

PYSEC-2021-803

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.TFTStringDealloc is called during garbage collection within a finalizer function. However, tensor...

PYSEC-2021-295

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.rawops.MapStage. The implementation does not check that the key input is a valid non-empty tensor. We have patched the issue in GitHub...

PYSEC-2021-788

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...