9269 matches found
CVE-2021-37677
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...
Design/Logic Flaw
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-2021-583
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.rawops.UpperBound. The implementation does not validate the rank of sortedinput...
PYSEC-2021-785
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.rawops.MaxPoolGrad caused by missing validation. The implementation misses some validation for the originput and origoutput tensor...
Design/Logic Flaw
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-2021-305
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-2021-590
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...
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-2021-294
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.rawops.SdcaOptimizerV2. The implementation does not check that the length of...
PYSEC-2021-600
TensorFlow is an end-to-end open source platform for machine learning. In affected versions 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...
PYSEC-2021-307
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's expanddims.cc contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If axis is a large negative value e.g., -100000, then after the first if it would...
PYSEC-2021-296
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.rawops.MaxPoolGrad caused by missing validation. The implementation misses some validation for the originput and origoutput tensor...
PYSEC-2021-793
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. The issue stems from the fact that quantization.params is only valid if quantization.type is different that...
PYSEC-2021-781
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.rawops.UpperBound. The implementation does not validate the rank of sortedinput...
CVE-2021-37678
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 uses yaml.unsafeload which can perform arbitrary code execution...
PYSEC-2021-592
TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a tf.mapfn within another tf.mapfn call. However, if the input tensor is a RaggedTensor and there is no function signature provided, code assumes the output is a fully specified tens...
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-2021-783
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.rawops.SdcaOptimizerV2. The implementation does not check that the length of...
PYSEC-2021-581
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.rawops.UnravelIndex by triggering a division by 0. The implementation does not check that the tensor subsumed by dims is not...
PYSEC-2021-301
TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a tf.mapfn within another tf.mapfn call. However, if the input tensor is a RaggedTensor and there is no function signature provided, code assumes the output is a fully specified tens...