7043 matches found
PYSEC-2021-598
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-2021-581
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-2021-578
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 bounds of heap...
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-2021-596
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-2021-583
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-2021-600
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-2021-587
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-2021-576
TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in tf.rawops.QuantizeV2, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. Th...
PYSEC-2021-604
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. We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be...
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...
CVE-2021-37690
CVE-2021-37690 concerns a denial-of-service/segfault risk in TensorFlow’s shape inference, arising when shape information in a ShapeAndType struct is accessed after an inference context is cleaned up. The core issue was that shapes and types were not cloned under ownership like other outputs, lea...
CVE-2021-37690 Use after free and segfault in shape inference functions in TensorFlow
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...
CVE-2021-37678
CVE-2021-37678 affects TensorFlow (and Keras) where deserializing a Keras model from YAML can lead to arbitrary code execution due to use of yaml.unsafe_load. The issue is fixed in TensorFlow 2.6.0 and will be cherry-picked to 2.5.1, 2.4.3, and 2.3.4; patch deployment in affected releases is expe...
CVE-2021-37692
CVE-2021-37692 affects TensorFlow and centers on a segfault in string tensor deallocation during garbage collection when the encoding of a string tensor fails (e.g., mismatched dimensions). The root cause is an assumption that encoding succeeded, leading to use of the finalizer of the tensor with...
CVE-2021-37692 Segfault on strings tensors with mistmatched dimensions in TensorFlow
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...
CVE-2021-37673
TensorFlow maps-stage DoS (CVE-2021-37673). The issue arises from tf.raw_ops.MapStage not validating non-empty key tensors, enabling a local attacker to trigger a denial-of-service via a CHECK-fail. Patches were committed and the fix is expected in TensorFlow 2.6.0, with backports to 2.5.1, 2.4.3...
CVE-2021-37663
CVE-2021-37663 arises from incomplete validation in tf.raw_ops.QuantizeV2 in TensorFlow. Affected: TensorFlow versions before 2.6.0 (patch committed 6da6620...). The issue can trigger undefined behavior via binding a null pointer or out-of-bounds access; if axis is provided, min_range/max_range l...
CVE-2021-37682
CVE-2021-37682 concerns TensorFlow/TFLite quantization paths where quantization.params may be used without validating quantization.type, allowing potential use of uninitialized values in affected TFLite operations. Connected sources confirm the root cause (missing checks in depthwise conv quantiz...
CVE-2021-37682 Use of unitialized value in TensorFlow Lite
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...