fix(deps): update dependency tensorflow to v2.12.1 [security] by renovate[bot] · Pull Request #53 · Hartorn/thc-net

renovate · 2023-03-16T11:39:10Z

ℹ️ Note

This PR body was truncated due to platform limits.

This PR contains the following updates:

Package	Change	Age	Confidence
tensorflow	`2.2.0` → `2.12.1`

Use of unitialized value in TFLite

CVE-2021-37682 / GHSA-4c4g-crqm-xrxw

More information

Details

Impact

All TFLite operations that use quantization can be made to use unitialized values. For example:

    const auto* affine_quantization =
        reinterpret_cast<TfLiteAffineQuantization*>(
            filter->quantization.params);

The issue stems from the fact that quantization.params is only valid if quantization.type is different that kTfLiteNoQuantization. However, these checks are missing in large parts of the code.

Patches

We have patched the issue in GitHub commits 537bc7c723439b9194a358f64d871dd326c18887,
4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 and 8933b8a21280696ab119b63263babdb54c298538.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Severity

CVSS Score: 4.8 / 10 (Medium)
Vector String: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

Heap OOB in TFLite's `Gather*` implementations

CVE-2021-37687 / GHSA-jwf9-w5xm-f437

More information

Details

Impact

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 negative values in indices.

Similar issue exists in Gather implementation.

import tensorflow as tf
import numpy as np
tf.compat.v1.disable_v2_behavior()

params = tf.compat.v1.placeholder(name="params", dtype=tf.int64, shape=(1,))
indices = tf.compat.v1.placeholder(name="indices", dtype=tf.int64, shape=())

out = tf.gather(params, indices, name='out')

with tf.compat.v1.Session() as sess:
   converter = tf.compat.v1.lite.TFLiteConverter.from_session(sess, [params, indices], [out])
   tflite_model = converter.convert()

interpreter = tf.lite.Interpreter(model_content=tflite_model)
interpreter.allocate_tensors()

input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()

params_data = np.reshape(np.array([1], dtype=np.int64), newshape=(1,))
indices_data = np.reshape(np.array(-10, dtype=np.int64), newshape=())
interpreter.set_tensor(input_details[0]['index'], params_data)
interpreter.set_tensor(input_details[1]['index'], indices_data)

interpreter.invoke()

Patches

We have patched the issue in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Yakun Zhang of Baidu Security.

Severity

CVSS Score: 6.8 / 10 (Medium)
Vector String: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

FPE in TFLite division operations

CVE-2021-37683 / GHSA-rhrq-64mq-hf9h

More information

Details

Impact

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.

Patches

We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Severity

CVSS Score: 6.8 / 10 (Medium)
Vector String: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

Division by zero in TFLite

CVE-2021-37680 / GHSA-cfpj-3q4c-jhvr

More information

Details

Impact

The implementation of fully connected layers in TFLite is vulnerable to a division by zero error:

const int batch_size = input_size / filter->dims->data[1];

An attacker can craft a model such that filter->dims->data[1] is 0.

Patches

We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360. Concurrently, it has also been reported by Yakun Zhang of Baidu Security.

Severity

CVSS Score: 6.8 / 10 (Medium)
Vector String: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

Heap OOB in TFLite

CVE-2021-37685 / GHSA-c545-c4f9-rf6v

More information

Details

Impact

TFLite's expand_dims.cc contains a vulnerability which allows reading one element outside of bounds of heap allocated data:

  if (axis < 0) { 
    axis = input_dims.size + 1 + axis;
  }   
  TF_LITE_ENSURE(context, axis <= input_dims.size);

  TfLiteIntArray* output_dims = TfLiteIntArrayCreate(input_dims.size + 1);
  for (int i = 0; i < output_dims->size; ++i) {
    if (i < axis) {
      output_dims->data[i] = input_dims.data[i];
    } else if (i == axis) {
      output_dims->data[i] = 1;
    } else {
      output_dims->data[i] = input_dims.data[i - 1];
    }
  }

If axis is a large negative value (e.g., -100000), then after the first if it would still be negative. The check following the if statement will pass and the for loop would read one element before the start of input_dims.data (when i = 0).

Patches

We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Yakun Zhang of Baidu Security.

Severity

CVSS Score: 6.8 / 10 (Medium)
Vector String: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

NPE in TFLite

CVE-2021-37681 / GHSA-7xwj-5r4v-429p

More information

Details

Impact

The implementation of SVDF in TFLite is vulnerable to a null pointer error:

  TfLiteTensor* state = GetVariableInput(context, node, kStateTensor);
  // ...
  GetTensorData<float>(state)

The GetVariableInput function can return a null pointer but GetTensorData assumes that the argument is always a valid tensor.

TfLiteTensor* GetVariableInput(TfLiteContext* context, const TfLiteNode* node,
                               int index) {
  TfLiteTensor* tensor = GetMutableInput(context, node, index);
  return tensor->is_variable ? tensor : nullptr;
}

Furthermore, because GetVariableInput calls GetMutableInput which might return nullptr, the tensor->is_variable expression can also trigger a null pointer exception.

Patches

We have patched the issue in GitHub commit 5b048e87e4e55990dae6b547add4dae59f4e1c76.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Severity

CVSS Score: 8.5 / 10 (High)
Vector String: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

Null pointer dereference in TFLite MLIR optimizations

CVE-2021-37689 / GHSA-wf5p-c75w-w3wh

More information

Details

Impact

An attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service:

This is caused by the MLIR optimization of L2NormalizeReduceAxis operator. The implementation unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements:

bool L2NormalizeReduceAxis(Value sq_op, DenseElementsAttr axis) {
  if (sq_op.getType().cast<ShapedType>().getRank() - 1 ==
          *axis.getValues<int>().begin() ||
      *axis.getValues<int>().begin() == -1) {
      // ...
  }
  // ...
}

Patches

We have patched the issue in GitHub commit d6b57f461b39fd1aa8c1b870f1b974aac3554955.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Yakun Zhang of Baidu Security.

Severity

CVSS Score: 8.5 / 10 (High)
Vector String: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

Null pointer dereference in TFLite

CVE-2021-37688 / GHSA-vcjj-9vg7-vf68

More information

Details

Impact

An attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service:

import tensorflow as tf

model = tf.keras.models.Sequential()
model.add(tf.keras.Input(shape=(1, 2, 3)))
model.add(tf.keras.layers.Dense(0, activation='relu'))

converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()

interpreter = tf.lite.Interpreter(model_content=tflite_model)
interpreter.allocate_tensors()

interpreter.invoke()

The implementation unconditionally dereferences a pointer.

  if (y4 > 1) {
    // ...
  } else {
    for (int i0 = 0; i0 < y0; ++i0) {
      const T* input2_data_ptr = nullptr;
      for (int i1 = 0; i1 < y1; ++i1) {
        input2_data_ptr = input2_data_reset;
        for (int i2 = 0; i2 < y2; ++i2) {
          scalar_broadcast_f(y3, params, *input1_data_ptr, input2_data_ptr,
                             output_data_ptr);
        }
      }
    }
  }

Patches

We have patched the issue in GitHub commit 15691e456c7dc9bd6be203b09765b063bf4a380c.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Yakun Zhang of Baidu Security.

Severity

CVSS Score: 8.5 / 10 (High)
Vector String: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad

CVE-2023-25658 / GHSA-68v3-g9cm-rmm6

More information

Details

Impact

Out of bounds read in GRUBlockCellGrad

func = tf.raw_ops.GRUBlockCellGrad

para = {'x': [[21.1, 156.2], [83.3, 115.4]], 'h_prev': array([[136.5],
      [136.6]]), 'w_ru': array([[26.7,  0.8],
      [47.9, 26.1],
      [26.2, 26.3]]), 'w_c': array([[ 0.4],
      [31.5],
      [ 0.6]]), 'b_ru': array([0.1, 0.2 ], dtype=float32), 'b_c': 0x41414141, 'r': array([[0.3],
      [0.4]], dtype=float32), 'u': array([[5.7],
      [5.8]]), 'c': array([[52.9],
      [53.1]]), 'd_h': array([[172.2],
      [188.3 ]])}

Patches

We have patched the issue in GitHub commit ff459137c2716a2a60f7d441b855fcb466d778cb.

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx.

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has Floating Point Exception in TensorListSplit with XLA

CVE-2023-25673 / GHSA-647v-r7qq-24fh

More information

Details

Impact

FPE in TensorListSplit with XLA

import tensorflow as tf

func = tf.raw_ops.TensorListSplit
para = {'tensor': [1], 'element_shape': -1, 'lengths': [0]}

@&#8203;tf.function(jit_compile=True)
def fuzz_jit():
 y = func(**para)
 return y

print(fuzz_jit())

Patches

We have patched the issue in GitHub commit 728113a3be690facad6ce436660a0bc1858017fa.

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has Segfault in Bincount with XLA

CVE-2023-25675 / GHSA-7x4v-9gxg-9hwj

More information

Details

Impact

When running with XLA, tf.raw_ops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor.

import tensorflow as tf

func = tf.raw_ops.Bincount
para={'arr': 6, 'size': 804, 'weights': [52, 351]}

@&#8203;tf.function(jit_compile=True)
def fuzz_jit():
 y = func(**para)
 return y

print(fuzz_jit())

Patches

We have patched the issue in GitHub commit 8ae76cf085f4be26295d2ecf2081e759e04b8acf.

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx of 360 AIVul Team

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has Null Pointer Error in RandomShuffle with XLA enable

CVE-2023-25674 / GHSA-gf97-q72m-7579

More information

Details

Impact

NPE in RandomShuffle with XLA enable

import tensorflow as tf

func = tf.raw_ops.RandomShuffle
para = {'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649}

@&#8203;tf.function(jit_compile=True)
def test():
   y = func(**para)
   return y

test()

Patches

We have patched the issue in GitHub commit 728113a3be690facad6ce436660a0bc1858017fa.

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has null dereference on ParallelConcat with XLA

CVE-2023-25676 / GHSA-6wfh-89q8-44jq

More information

Details

Impact

When running with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero.

import tensorflow as tf

func = tf.raw_ops.ParallelConcat
para = {'shape':  0, 'values': [1]}

@&#8203;tf.function(jit_compile=True)
def test():
   y = func(**para)
   return y

test()

Patches

We have patched the issue in GitHub commit da66bc6d5ff466aee084f9e7397980a24890cd15.

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx of 360 AIVul Team

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has double free in Fractional(Max/Avg)Pool

CVE-2023-25801 / GHSA-f49c-87jh-g47q

More information

Details

Impact

nn_ops.fractional_avg_pool_v2 and nn_ops.fractional_max_pool_v2 require the first and fourth elements of their parameter pooling_ratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported.

import tensorflow as tf
import os
import numpy as np
from tensorflow.python.ops import nn_ops
try:
  arg_0_tensor = tf.random.uniform([3, 30, 50, 3], dtype=tf.float64)
  arg_0 = tf.identity(arg_0_tensor)
  arg_1_0 = 2
  arg_1_1 = 3
  arg_1_2 = 1
  arg_1_3 = 1
  arg_1 = [arg_1_0,arg_1_1,arg_1_2,arg_1_3,]
  arg_2 = True
  arg_3 = True
  seed = 341261001
  out = nn_ops.fractional_avg_pool_v2(arg_0,arg_1,arg_2,arg_3,seed=seed,)
except Exception as e:
  print("Error:"+str(e))

Patches

We have patched the issue in GitHub commit ee50d1e00f81f62a4517453f721c634bbb478307.

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability was reported by dmc1778, of nimashiri2012@gmail.com.

Severity

CVSS Score: 8.0 / 10 (High)
Vector String: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has Null Pointer Error in LookupTableImportV2

CVE-2023-25672 / GHSA-94mm-g2mv-8p7r

More information

Details

Impact

The function tf.raw_ops.LookupTableImportV2 cannot handle scalars in the values parameter and gives an NPE.

import tensorflow as tf

v = tf.Variable(1)

@&#8203;tf.function(jit_compile=True)
def test():
   func = tf.raw_ops.LookupTableImportV2
   para={'table_handle': v.handle,'keys': [62.98910140991211, 94.36528015136719], 'values': -919}

   y = func(**para)
   return y

print(test())

Patches

We have patched the issue in GitHub commit 980b22536abcbbe1b4a5642fc940af33d8c19b69.

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx of 360 AIVul Team

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize

CVE-2023-25670 / GHSA-49rq-hwc3-x77w

More information

Details

Impact

NPE in QuantizedMatMulWithBiasAndDequantize with MKL enable

import tensorflow as tf

func = tf.raw_ops.QuantizedMatMulWithBiasAndDequantize
para={'a': tf.constant(138, dtype=tf.quint8), 'b': tf.constant(4, dtype=tf.qint8), 'bias': [[31.81644630432129, 47.21876525878906], [109.95201110839844, 152.07968139648438]], 'min_a': 141.5337138686371, 'max_a': [73.84139251708984, 173.15280151367188], 'min_b': [], 'max_b': [[16.128345489501953, 193.26820373535156]], 'min_freezed_output': [], 'max_freezed_output': [115.50032806396484, 156.974853515625], 'Toutput': 1.0, 'transpose_a': True, 'transpose_b': False, 'input_quant_mode': 'MIN_FIRST'}

func(**para)

Patches

We have patched the issue in GitHub commit 8a47a39d9697969206d23a523c977238717e8727.

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has segmentation fault in tfg-translate

CVE-2023-25671 / GHSA-j5w9-hmfh-4cr6

More information

Details

Impact

Out-of-bounds access due to mismatched integer type sizes in ValueMap::Manager::GetValueOrCreatePlaceholder. Bug with tfg-translate call to InitMlir. The problem happens with generic functions, as it is already handled for non-generic functions. This is because they, unlike non-generic functions, are using the "old importer". A better long-term solution may be to have the "new importer" handle generic functions.

Patches

We have patched the issue in GitHub

commit 760322a71ac9033e122ef1f4b1c62813021e5938.
commit 2eedc8f676d2c3b8be9492e547b2bc814c10b367

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx

Affiliation

360 AIVul

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has Floating Point Exception in TFLite in conv kernel

CVE-2023-27579 / GHSA-5w96-866f-6rm8

More information

Details

Impact

Constructing a tflite model with a paramater filter_input_channel of less than 1 gives a FPE.

Patches

We have patched the issue in GitHub commit 34f8368c535253f5c9cb3a303297743b62442aaa.

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability was reported by Wang Xuan of Qihoo 360 AIVul Team.

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has Floating Point Exception in AudioSpectrogram

CVE-2023-25666 / GHSA-f637-vh3r-vfh2

More information

Details

Impact

version:2.11.0 //core/ops/audio_ops.cc:70

Status SpectrogramShapeFn(InferenceContext* c) { ShapeHandle input; TF_RETURN_IF_ERROR(c->WithRank(c->input(0), 2, &input)); int32_t window_size; TF_RETURN_IF_ERROR(c->GetAttr("window_size", &window_size)); int32_t stride; TF_RETURN_IF_ERROR(c->GetAttr("stride", &stride)); .....[1]

DimensionHandle input_length = c->Dim(input, 0); DimensionHandle input_channels = c->Dim(input, 1);

DimensionHandle output_length; if (!c->ValueKnown(input_length)) { output_length = c->UnknownDim(); } else { const int64_t input_length_value = c->Value(input_length); const int64_t length_minus_window = (input_length_value - window_size); int64_t output_length_value; if (length_minus_window < 0) { output_length_value = 0; } else { output_length_value = 1 + (length_minus_window / stride); .....[2] } output_length = c->MakeDim(output_length_value); }

Get the value of stride at [1], and the used at [2]

import tensorflow as tf

para = {'input': tf.constant([[14.], [24.]], dtype=tf.float32), 'window_size': 1, 'stride': 0, 'magnitude_squared': False}
func = tf.raw_ops.AudioSpectrogram

@&#8203;tf.function(jit_compile=True)
def fuzz_jit():
   y = func(**para)
   return y

fuzz_jit()

Patches

We have patched the issue in GitHub commit d0d4e779da0d0f56499c6fa5ba09f0a576cc6b14.

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx

Severity

CVSS Score: 7.5 / 10 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

TensorFlow has Heap-buffer-overflow in AvgPoolGrad

CVE-2023-25664 / GHSA-6hg6-5c2q-7rcr

More information

Details

Impact

import os
os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
import tensorflow as tf
print(tf.__version__)
with tf.device("CPU"):
    ksize = [1, 40, 128, 1]
    strides = [1, 128, 128, 30]
    padding = "SAME"
    data_format = "NHWC"

> ✂ **Note**
> 
> PR body was truncated to here.

renovate · 2023-03-25T00:47:08Z

⚠ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

any of the package files in this branch needs updating, or
the branch becomes conflicted, or
you click the rebase/retry checkbox if found above, or
you rename this PR's title to start with "rebase!" to trigger it manually

The artifact failure details are included below:

File name: thc-net/poetry.lock

Updating dependencies
Resolving dependencies...

[SolverProblemError]
The current project's Python requirement (>=3.6.1) is not compatible with some of the required packages Python requirement:
  - tensorflow requires Python >=3.7

Because thc-net depends on tensorflow (2.11.1) which requires Python >=3.7, version solving failed.

renovate · 2024-07-30T21:29:52Z

⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

any of the package files in this branch needs updating, or
the branch becomes conflicted, or
you click the rebase/retry checkbox if found above, or
you rename this PR's title to start with "rebase!" to trigger it manually

The artifact failure details are included below:

File name: thc-net/poetry.lock

Updating dependencies
Resolving dependencies...

[SolverProblemError]
The current project's Python requirement (>=3.6.1) is not compatible with some of the required packages Python requirement:
  - tensorflow requires Python >=3.8

Because thc-net depends on tensorflow (2.12.1) which requires Python >=3.8, version solving failed.

renovate Bot added dep:minor dependencies labels Mar 16, 2023

renovate Bot changed the title ~~fix(deps): update dependency tensorflow to v2.3.4 [security]~~ fix(deps): update dependency tensorflow to v2.11.1 [security] Mar 25, 2023

renovate Bot force-pushed the renovate/pypi-tensorflow-vulnerability branch from 41d6445 to d446125 Compare March 25, 2023 00:47

renovate Bot changed the title ~~fix(deps): update dependency tensorflow to v2.11.1 [security]~~ fix(deps): update dependency tensorflow to v2.11.1 [security] - autoclosed Apr 4, 2024

renovate Bot closed this Apr 4, 2024

renovate Bot deleted the renovate/pypi-tensorflow-vulnerability branch April 4, 2024 13:46

renovate Bot changed the title ~~fix(deps): update dependency tensorflow to v2.11.1 [security] - autoclosed~~ fix(deps): update dependency tensorflow to v2.11.1 [security] Apr 4, 2024

renovate Bot reopened this Apr 4, 2024

renovate Bot restored the renovate/pypi-tensorflow-vulnerability branch April 4, 2024 18:07

renovate Bot force-pushed the renovate/pypi-tensorflow-vulnerability branch from d446125 to 9cdfa4a Compare April 4, 2024 18:07

renovate Bot force-pushed the renovate/pypi-tensorflow-vulnerability branch from 9cdfa4a to dbb0f98 Compare July 30, 2024 21:29

renovate Bot changed the title ~~fix(deps): update dependency tensorflow to v2.11.1 [security]~~ fix(deps): update dependency tensorflow to v2.12.1 [security] Jul 30, 2024

renovate Bot changed the title ~~fix(deps): update dependency tensorflow to v2.12.1 [security]~~ fix(deps): update dependency tensorflow to v2.12.1 [security] - autoclosed Mar 27, 2026

renovate Bot closed this Mar 27, 2026

renovate Bot deleted the renovate/pypi-tensorflow-vulnerability branch March 27, 2026 01:00

renovate Bot changed the title ~~fix(deps): update dependency tensorflow to v2.12.1 [security] - autoclosed~~ fix(deps): update dependency tensorflow to v2.12.1 [security] Mar 30, 2026

renovate Bot reopened this Mar 30, 2026

renovate Bot force-pushed the renovate/pypi-tensorflow-vulnerability branch from dbb0f98 to a7736da Compare March 30, 2026 22:10

renovate Bot changed the title ~~fix(deps): update dependency tensorflow to v2.12.1 [security]~~ fix(deps): update dependency tensorflow to v2.12.1 [security] - autoclosed Apr 27, 2026

renovate Bot closed this Apr 27, 2026

fix(deps): update dependency tensorflow to v2.12.1 [security]

b7eb420

renovate Bot changed the title ~~fix(deps): update dependency tensorflow to v2.12.1 [security] - autoclosed~~ fix(deps): update dependency tensorflow to v2.12.1 [security] Apr 27, 2026

renovate Bot reopened this Apr 27, 2026

renovate Bot force-pushed the renovate/pypi-tensorflow-vulnerability branch 2 times, most recently from a7736da to b7eb420 Compare April 27, 2026 22:36

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fix(deps): update dependency tensorflow to v2.12.1 [security]#53

fix(deps): update dependency tensorflow to v2.12.1 [security]#53
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renovate Bot commented Mar 16, 2023 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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Use of unitialized value in TFLite

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Heap OOB in TFLite's Gather* implementations

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FPE in TFLite division operations

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Division by zero in TFLite

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Heap OOB in TFLite

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NPE in TFLite

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Null pointer dereference in TFLite MLIR optimizations

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Null pointer dereference in TFLite

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TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad

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TensorFlow has Floating Point Exception in TensorListSplit with XLA

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renovate Bot commented Mar 16, 2023 •

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Heap OOB in TFLite's `Gather*` implementations