Design/Logic Flaw

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...

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...

Buffer overflow

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...

Design/Logic Flaw

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-2021-600

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-2021-590

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-2021-581

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-2021-596

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-2021-576

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...

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 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...

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...