Heap out of bounds read in `RaggedCross`

Impact An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to tf.rawops.RaggedCross: python import tensorflow as tf raggedvalues = raggedrowsplits = sparseindices = sparsevalues = sparseshape = denseinputselem = tf.constant, shape=92, 0,...

CHECK-fail in tf.raw_ops.EncodePng

Impact An attacker can trigger a CHECK fail in PNG encoding by providing an empty input tensor as the pixel data: python import tensorflow as tf image = tf.zeros0, 0, 3 image = tf.castimage, dtype=tf.uint8 tf.rawops.EncodePngimage=image This is because the implementation only validates that the...

CHECK-fail in AddManySparseToTensorsMap

Impact An attacker can trigger a denial of service via a CHECK-fail in tf.rawops.AddManySparseToTensorsMap: python import tensorflow as tf import numpy as np sparseindices = tf.constant530, shape=1, 1, dtype=tf.int64 sparsevalues = tf.ones1, dtype=tf.int64 shape = tf.Variabletf.ones55,...

Division by 0 in `Conv3DBackprop*`

Impact The tf.rawops.Conv3DBackprop operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0: python import tensorflow as tf inputsizes = tf.constant0, 0, 0, 0, 0, shape=5, dtype=tf.int32 filtertensor = tf.constant, shape=0, 0, 0, 1, 0,...

Segfault in SparseCountSparseOutput

Impact Specifying a negative dense shape in tf.rawops.SparseCountSparseOutput results in a segmentation fault being thrown out from the standard library as std::vector invariants are broken. python import tensorflow as tf indices = tf.constant, shape=0, 0, dtype=tf.int64 values = tf.constant,...

Division by zero in `Conv3D`

Impact A malicious user could trigger a division by 0 in Conv3D implementation: python import tensorflow as tf inputtensor = tf.constant, shape=0, 0, 0, 0, 0, dtype=tf.float32 filtertensor = tf.constant, shape=0, 0, 0, 0, 0, dtype=tf.float32 tf.rawops.Conv3Dinput=inputtensor, filter=filtertensor,...

Null pointer dereference via invalid Ragged Tensors

Impact Calling tf.rawops.RaggedTensorToVariant with arguments specifying an invalid ragged tensor results in a null pointer dereference: python import tensorflow as tf inputtensor = tf.constant, shape=0, 0, 0, 0, 0, dtype=tf.float32 filtertensor = tf.constant, shape=0, 0, 0, 0, 0, dtype=tf.float3...

Heap buffer overflow in `RaggedBinCount`

Impact If the splits argument of RaggedBincount does not specify a valid SparseTensor, then an attacker can trigger a heap buffer overflow: python import tensorflow as tf tf.rawops.RaggedBincountsplits=0, values=1,1,1,1,1, size=5, weights=1,2,3,4, binaryoutput=False This will cause a read from...

CVE-2021-29591

TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be...

Stack overflow

TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be...

PYSEC-2021-519

TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be...

CVE-2021-29591 Stack overflow due to looping TFLite subgraph

TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be...

CVE-2021-29591

TensorFlow/TfLite vulnerability CVE-2021-29591 stems from loops in TFlite subgraphs (example: While) allowing potential infinite recursion and stack exhaustion during evaluation. Affected: TensorFlow/TfLite; root cause: unchecked looping between body and loop subgraphs. Impact described as stack ...

September 8, 2020—KB4577066 (Monthly Rollup)

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Bolt CMS Security Vulnerability

Bolt CMS is an open source PHP-based content management system for the Bolt BOLT community. A security vulnerability exists in Bolt versions prior to 3.7.2, which stems from a filter option in the Twig context that restricts requests, and is therefore inconsistent with the "How to Enhance PHP for...

JVN#43969166: Apache Struts 2 vulnerable to remote code execution (S2-061)

Apache Struts 2 provided by The Apache Software Foundation contains a remote code execution vulnerability due to improper input validation CWE-20. Impact A remote attacker may execute arbitrary code. Solution Update the software Update the software to the latest version according to the informati...

Heap out of bounds access in MakeEdge in TensorFlow

Impact Under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node given by outputindex and the input slot of the dst node given by inputindex. This is...

CHECK-fail in LSTM with zero-length input in TensorFlow

Impact Running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. Patches We have patched the...

Write to immutable memory region in TensorFlow

Impact The tf.rawops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area: python import...

Lack of validation in data format attributes in TensorFlow

Impact The tf.rawops.DataFormatVecPermute API does not validate the srcformat and dstformat attributes. The code assumes that these two arguments define a permutation of NHWC. However, these assumptions are not checked and this can result in uninitialized memory accesses, read outside of bounds a...