# TensorFlow Security Advisories
C++ fuzzing: [![Fuzzing Status](https://oss-fuzz-build-logs.storage.googleapis.com/badges/tensorflow.svg)](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:tensorflow)
Python fuzzing: [![Fuzzing Status](https://oss-fuzz-build-logs.storage.googleapis.com/badges/tensorflow-py.svg)](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:tensorflow-py)
We regularly publish security advisories about using TensorFlow.
*Note*: In conjunction with these security advisories, we strongly encourage
TensorFlow users to read and understand TensorFlow's security model as outlined
in
[SECURITY.md](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md).
| Advisory Number | Type | Versions affected | Reported by | Additional Information
| ------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- | :-----------------: | ---------------------------------------------------------------------------------- | --------------------------------------------------------------
| [TFSA-2023-020](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-020.md) | OOB Read in GRUBlockCellGrad | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-019](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-019.md) | FPE in AvgPoolGrad with XLA | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-018](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-018.md) | OOB read in DynamicStitch | <= 2.12.0 | Google OSS VRP |
| [TFSA-2023-017](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-017.md) | NPE in QuantizedMatMulWithBiasAndDequantize | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-016](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-016.md) | Seg fault in `tf.raw_ops.Print` | <= 2.12.0 | Yu Tian of Qihoo 360 AIVul Team |
| [TFSA-2023-015](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-015.md) | Segmentation fault in tfg-translate | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-014](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-014.md) | Integer overflow in EditDistance | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-013](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-013.md) | FPE in TensorListSplit with XLA | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-012](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-012.md) | NPE in TensorArrayConcatV2 | <= 2.12.0 | Yu Tian of Qihoo 360 AIVul Team |
| [TFSA-2023-011](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-011.md) | FPE in TensorListSplit with XLA | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-010](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-010.md) | Heap-buffer-overflow in AvgPoolGrad | <= 2.12.0 | evn@google.com |
| [TFSA-2023-009](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-009.md) | NPE in RandomShuffle with XLA enable | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-008](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-008.md) | FPE in AudioSpectrogram | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-007](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-007.md) | Segfault in Bincount with XLA | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-006](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-006.md) | NPE in SparseSparseMaximum | <= 2.12.0 | Yu Tian of Qihoo 360 AIVul Team |
| [TFSA-2023-005](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-005.md) | Null dereference on ParallelConcat with XLA | <= 2.12.0 | r3pwnx of 360 AIVul Team |
| [TFSA-2023-004](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-004.md) | Segfault when opening multiframe gif | <= 2.12.0 | Andrei |
| [TFSA-2023-003](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-003.md) | Double free in Fractional(Max/Avg)Pool | <= 2.12.0 | https://github.com/dmc1778 of nimashiri2012@gmail.com |
| [TFSA-2023-002](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-002.md) | A heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation | <= 2.12.0 | |
| [TFSA-2023-001](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2023-001.md) | FPE in TFLite in conv kernel | <= 2.12.0 | Wang Xuan of Qihoo 360 AIVul Team |
| [TFSA-2022-170](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2022-170.md) | `CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode | <= 2.11.0 | Pattarakrit Rattankul |
| [TFSA-2022-169](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2022-169.md) | `CHECK` failure in `SobolSample` via missing validation | <= 2.11.0 | (multiple authors) |
| [TFSA-2022-168](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2022-168.md) | Heap overflow in `QuantizeAndDequantizeV2` | <= 2.11.0 | Reported via OSS VRP |
| [TFSA-2022-167](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2022-167.md) | OOB write in grappler | <= 2.11.0 | (discovered internall
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python的TensorFlow机器学习工具库源代码
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TensorFlow工具库社区 是一个端到端的开源平台 用于机器学习。它有一个全面、灵活的生态系统 ,以及 资源,让 研究人员推动了 ML 的最新技术,开发人员可以轻松构建和 部署 ML 驱动的应用程序。TensorFlow 最初是由研究人员和工程师开发的。 Google Brain的机器智能团队进行机器研究 学习和神经网络。但是,该框架的通用性足以 也用于其他领域。TensorFlow 是谷歌的第二代机器学习系统,按照谷歌所说,在某些基准测试中,TensorFlow的表现比第一代的DistBelief快了2倍。 TensorFlow 内建深度学习的扩展支持,任何能够用计算流图形来表达的计算,都可以使用TensorFlow。TensorFlow 是谷歌的第二代机器学习系统,按照谷歌所说,在某些基准测试中,TensorFlow的表现比第一代的DistBelief快了2倍。 TensorFlow 内建深度学习的扩展支持,任何能够用计算流图形来表达的计算,都可以使用TensorFlow。要将 TensorFlow 更新到最新版本,请在上面添加 --upgrade 标志 命令。请参阅安装指南。
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python的TensorFlow机器学习工具库源代码 (2000个子文件)
c_test.c 17KB
filterbank_util.c 9KB
filterbank.c 4KB
xnnpack_plugin_c_test_lib.c 4KB
pcan_gain_control_util.c 3KB
frontend_util.c 3KB
log_scale.c 3KB
frontend_io.c 3KB
frontend.c 3KB
filterbank_io.c 3KB
window.c 3KB
frontend_main.c 2KB
window_util.c 2KB
runner_main.c 2KB
noise_reduction.c 2KB
frontend_memmap_main.c 2KB
pcan_gain_control.c 2KB
noise_reduction_util.c 2KB
window_io.c 2KB
frontend_memmap_generator.c 2KB
log_lut.c 2KB
fft_io.c 2KB
noise_reduction_io.c 2KB
log_scale_util.c 1KB
log_scale_io.c 1006B
wrappers.go 1.88MB
tensor.go 18KB
genop.go 17KB
genop_test.go 16KB
graph.go 14KB
session.go 13KB
tensor_test.go 11KB
session_test.go 10KB
example_inception_inference_test.go 9KB
graph_test.go 9KB
attrs.go 7KB
operation.go 6KB
operation_test.go 6KB
gradients_test.go 6KB
scope.go 6KB
scope_test.go 5KB
tensor_handle.go 5KB
signature_test.go 5KB
attrs_test.go 4KB
op_test.go 4KB
api_def_map.go 4KB
saved_model.go 3KB
signature.go 3KB
context.go 3KB
tensor_handle_test.go 3KB
shape.go 3KB
saved_model_test.go 2KB
shape_test.go 2KB
main.go 2KB
status.go 2KB
gradients.go 2KB
util_test.go 2KB
op.go 2KB
context_test.go 1KB
doc.go 1KB
version.go 834B
lib.go 779B
generate.go 741B
android.go 715B
lib.go 688B
generate.go 683B
schema_generated.h 1.04MB
depthwiseconv_uint8_3x3_filter.h 572KB
depthwiseconv_uint8_transitional.h 372KB
optimized_ops.h 359KB
configuration_generated.h 286KB
configuration_generated.h 281KB
legacy_optimized_ops.h 239KB
depthwise_conv_hybrid_3x3_filter.h 130KB
depthwise_conv_3x3_filter.h 127KB
legacy_reference_ops.h 106KB
depthwiseconv_uint8.h 92KB
nnapi_implementation.h 88KB
depthwise_conv.h 84KB
model.h 77KB
NeuralNetworksShim.h 72KB
common.h 70KB
resize_bilinear.h 68KB
serialization_base_generated.h 68KB
NeuralNetworksSupportLibraryImpl.h 67KB
subgraph.h 53KB
common.h 52KB
test_util.h 49KB
interpreter.h 44KB
depthwiseconv_float.h 44KB
reference_ops.h 42KB
c_api_opaque.h 41KB
opencl_wrapper.h 37KB
types.h 36KB
cpu_backend_gemm_custom_gemv.h 36KB
NeuralNetworksTypes.h 35KB
reduce.h 32KB
c_api.h 31KB
conversion_metadata_generated.h 30KB
portable_tensor_utils.h 29KB
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