Iniciar sesión
Deutsch English Español Polski
Alta

Denial of Service in Tensorflow

  • Publicada: 25.09.2020
  • Actualizado: 11.10.2026 13:19

Impact

The RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L241-L244

Since BatchedMap is equivalent to a vector, it needs to have at least one element to not be nullptr. If user passes a splits tensor that is empty or has exactly one element, we get a SIGABRT signal raised by the operating system.

Patches

We have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and will release a patch release.

We recommend users to upgrade to TensorFlow 2.3.1.

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 is a variant of GHSA-p5f8-gfw5-33w4

Software afectado

Haz clic en una tecnología para ver todas sus vulnerabilidades.

PlataformaPaqueteVersiones vulnerablesCorregida en
Python (PyPI) tensorflow >= 2.3.0, < 2.3.1 2.3.1
Python (PyPI) tensorflow-cpu >= 2.3.0, < 2.3.1 2.3.1
Python (PyPI) tensorflow-gpu >= 2.3.0, < 2.3.1 2.3.1

Referencias

Puntuación CVSS 5.9/10
Vector CVSS
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Debilidad (CWE)
CWE-20
Plataforma
Python (PyPI)
Paquete
tensorflow, tensorflow-cpu, tensorflow-gpu
Publicada
25.09.2020
Actualizado
11.10.2026 13:19

Fuentes y licencias

OSV / GitHub Advisory Database - PYSEC-2020-122 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2020-279 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2020-314 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-x5cp-9pcf-pp3h - CC BY 4.0

Historial de vulnerabilidades: tensorflow-gpu

Todas las vulnerabilidades publicadas de este paquete (Python (PyPI)), de la más reciente a la más antigua. Muestra si es un fallo aislado o un paquete que hay que vigilar.

Todas (427) en el archivo
Entradas en total
427
Primera → última
04.2019 07.2024
Sin corrección
0
Explotada en ataques
0

Distribución por gravedad

  • Crítica 6
  • Alta 109
  • Media 207
  • Baja 105

Divulgaciones por año

Gravedad:
  1. Denial of Service in Tensorflow esta entrada
    Alta · 5.9 CVE-2020-15199 >= 2.3.0, < 2.3.1 2.3.1
  2. TensorFlow has segfault in array_ops.upper_bound
    Alta · 7.5 CVE-2023-33976 < 2.12.1 2.12.1
  3. TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch
    Alta · 7.5 CVE-2023-25659 < 2.11.1 2.11.1
  4. TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
    Alta · 7.5 CVE-2023-25660 < 2.11.1 2.11.1
  5. TensorFlow vulnerable to integer overflow in EditDistance
    Alta · 7.5 CVE-2023-25662 < 2.11.1 2.11.1
  6. TensorFlow has Null Pointer Error in TensorArrayConcatV2
    Alta · 7.5 CVE-2023-25663 < 2.11.1 2.11.1
  7. TensorFlow has Null Pointer Error in SparseSparseMaximum
    Alta · 7.5 CVE-2023-25665 < 2.11.1 2.11.1
  8. TensorFlow has Floating Point Exception in AudioSpectrogram
    Alta · 7.5 CVE-2023-25666 < 2.11.1 2.11.1
  9. TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation
    Crítica · 9.8 CVE-2023-25668 < 2.11.1 2.11.1
  10. TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
    Alta · 7.5 CVE-2023-25669 < 2.11.1 2.11.1
  11. TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
    Alta · 7.5 CVE-2023-25670 < 2.11.1 2.11.1
  12. TensorFlow has Null Pointer Error in LookupTableImportV2
    Alta · 7.5 CVE-2023-25672 < 2.11.1 2.11.1
  13. TensorFlow has Floating Point Exception in TensorListSplit with XLA
    Alta · 7.5 CVE-2023-25673 < 2.11.1 2.11.1
  14. TensorFlow has Null Pointer Error in RandomShuffle with XLA enable
    Alta · 7.5 CVE-2023-25674 < 2.11.1 2.11.1
  15. TensorFlow has Segfault in Bincount with XLA
    Alta · 7.5 CVE-2023-25675 < 2.11.1 2.11.1
  16. TensorFlow has null dereference on ParallelConcat with XLA
    Alta · 7.5 CVE-2023-25676 < 2.11.1 2.11.1
  17. TensorFlow has double free in Fractional(Max/Avg)Pool
    Alta · 8.0 CVE-2023-25801 < 2.11.1 2.11.1
  18. TensorFlow has Floating Point Exception in TFLite in conv kernel
    Alta · 7.5 CVE-2023-27579 < 2.11.1 2.11.1
  19. TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad
    Alta · 7.5 CVE-2023-25658 < 2.11.1 2.11.1
  20. Out of bounds write in grappler in Tensorflow
    Alta · 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
  21. FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess
    Alta · 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
  22. TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite
    Alta · 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
  23. TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite
    Alta · 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
  24. Code injection in `saved_model_cli` in TensorFlow
    Alta · 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
  25. Segfault and OOB write due to incomplete validation in `EditDistance` in TensorFlow
    Alta · 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
  26. NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlow
    Crítica · 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
  27. Improper Validation of Integrity Check Value in TensorFlow
    Alta · 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
  28. Out of bounds read in Tensorflow
    Alta · 8.8 CVE-2022-23594 >= 2.7.0, < 2.7.1 2.7.1
  29. Read and Write outside of bounds in TensorFlow
    Alta · 8.8 CVE-2022-23560 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  30. Insecure temporary file in Tensorflow
    Alta · 7.1 CVE-2022-23563 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  31. Out of bounds read in Tensorflow
    Alta · 8.1 CVE-2022-23592 >= 2.7.0, < 2.8.0 2.8.0
  32. Stack overflow in TensorFlow
    Alta · 7.5 CVE-2022-23591 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  33. Out of bounds read and write in Tensorflow
    Alta · 8.8 CVE-2022-23574 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  34. Uninitialized variable access in Tensorflow
    Alta · 7.6 CVE-2022-23573 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  35. Integer overflow in Tensorflow
    Alta · 7.6 CVE-2022-23562 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  36. Out of bounds write in TFLite
    Alta · 8.8 CVE-2022-23561 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  37. Integer overflow in TFLite
    Alta · 8.8 CVE-2022-23559 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  38. Out of bounds write in Tensorflow
    Alta · 8.8 CVE-2022-23566 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  39. Use after free in `DecodePng` kernel
    Alta · 7.6 CVE-2022-23584 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  40. Integer overflow in TFLite array creation
    Alta · 7.6 CVE-2022-23558 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  41. Integer overflow in TensorFlow
    Alta · 8.8 CVE-2022-23587 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  42. Heap overflow in Tensorflow
    Alta · 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
  43. Division by zero in TFLite
    Alta · 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
  44. Null pointer dereference in TensorFlow
    Alta · 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
  45. Assertion failure based denial of service in Tensorflow
    Alta · 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
  46. Integer overflow leading to crash in Tensorflow
    Alta · 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
  47. `CHECK`-fails when building invalid tensor shapes in Tensorflow
    Alta · 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
  48. Overflow and uncaught divide by zero in Tensorflow
    Alta · 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
  49. `CHECK`-failures in Tensorflow
    Alta · 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
  50. Division by zero in Tensorflow
    Alta · 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
  51. Undefined behavior in `SparseTensorSliceDataset`
    Alta · 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
  52. Type confusion leading to segfault in Tensorflow
    Alta · 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
  53. Integer overflows in Tensorflow
    Alta · 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
  54. Integer overflows in Tensorflow
    Alta · 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
  55. Out of bounds read in Tensorflow
    Alta · 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
  56. Out of bounds read in Tensorflow
    Alta · 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
  57. Integer overflow in Tensorflow
    Alta · 7.6 CVE-2022-21727 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  58. Out of bounds read in Tensorflow
    Alta · 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
  59. Access to invalid memory during shape inference in `Cudnn*` ops
    Alta · 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
  60. Use after free / memory leak in `CollectiveReduceV2`
    Alta · 7.8 CVE-2021-41220 >= 2.6.0, < 2.6.1 2.6.1
  61. Incomplete validation in boosted trees code
    Crítica · 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
  62. Incomplete validation of shapes in multiple TF ops
    Alta · 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
  63. Undefined behavior via `nullptr` reference binding in sparse matrix multiplication
    Alta · 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
  64. Reference binding to `nullptr` in `tf.ragged.cross`
    Alta · 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
  65. Heap OOB read in `tf.ragged.cross`
    Alta · 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
  66. Heap OOB in shape inference for `QuantizeV2`
    Alta · 7.1 CVE-2021-41211 >= 2.6.0, < 2.6.1 2.6.1
  67. Missing validation during checkpoint loading
    Alta · 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
  68. Heap OOB read in `tf.raw_ops.SparseCountSparseOutput`
    Alta · 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
  69. Unitialized access in `EinsumHelper::ParseEquation`
    Alta · 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
  70. Heap OOB in nested `tf.map_fn` with `RaggedTensor`s
    Alta · 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
  71. Arbitrary code execution due to YAML deserialization
    Alta · 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
  72. Incomplete validation in MKL requantization
    Alta · 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
  73. Incomplete validation in `QuantizeV2`
    Alta · 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
  74. Null pointer dereference in TFLite MLIR optimizations
    Alta · 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
  75. Null pointer dereference in TFLite
    Alta · 7.8 CVE-2021-37688 < 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. NPE in TFLite
    Alta · 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
  77. Reference binding to nullptr in shape inference
    Alta · 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
  78. Reference binding to nullptr in map operations
    Alta · 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
  79. Reference binding to nullptr in unicode encoding
    Alta · 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
  80. Reference binding to nullptr in `RaggedTensorToVariant`
    Alta · 7.8 CVE-2021-37666 < 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. Use after free in boosted trees creation
    Alta · 7.8 CVE-2021-37652 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  82. Incorrect validation of `SaveV2` inputs
    Alta · 7.8 CVE-2021-37648 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  83. Heap OOB in boosted trees
    Alta · 7.3 CVE-2021-37664 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  84. Reference binding to nullptr and heap OOB in binary cwise ops
    Alta · 7.3 CVE-2021-37659 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  85. Heap OOB in `ResourceScatterUpdate`
    Alta · 7.3 CVE-2021-37655 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  86. Heap OOB and CHECK fail in `ResourceGather`
    Alta · 7.3 CVE-2021-37654 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  87. Heap buffer overflow in `FractionalAvgPoolGrad`
    Alta · 7.1 CVE-2021-37651 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  88. Segfault and heap buffer overflow in `{Experimental,}DatasetToTFRecord`
    Alta · 7.8 CVE-2021-37650 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  89. Heap out of bounds access in sparse reduction operations
    Alta · 7.3 CVE-2021-37635 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  90. Null pointer dereference in `UncompressElement`
    Alta · 7.7 CVE-2021-37649 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  91. Null pointer dereference in `SparseTensorSliceDataset`
    Alta · 7.7 CVE-2021-37647 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  92. Null pointer dereference in `MatrixDiagPartOp`
    Alta · 7.7 CVE-2021-37643 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  93. Null pointer dereference and heap OOB read in operations restoring tensors
    Alta · 8.4 CVE-2021-37639 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  94. Null pointer dereference in `RaggedTensorToTensor`
    Alta · 7.7 CVE-2021-37638 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  95. Null pointer dereference in `CompressElement`
    Alta · 7.7 CVE-2021-37637 < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1 2.3.4, 2.4.3, 2.5.1
  96. Stack overflow due to looping TFLite subgraph
    Alta · 7.3 CVE-2021-29591 < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2 2.1.4, 2.2.3, 2.3.3, 2.4.2
  97. TensorFlow vulnerable to heap out of bounds read in filesystem glob matching
    Alta · 9.1 CVE-2020-26269 >= 2.4.0rc0, < 2.4.0 2.4.0
  98. Segfault in `tf.quantization.quantize_and_dequantize`
    Alta · 5.9 CVE-2020-15265 < 2.4.0 2.4.0
  99. Out of bounds write in tensorflow-lite
    Crítica · 8.1 CVE-2020-15214 >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 2.2.1, 2.3.1
  100. Out of bounds access in tensorflow-lite
    Crítica · 8.1 CVE-2020-15212 >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 2.2.1, 2.3.1
  101. Segmentation fault in tensorflow-lite
    Alta · 6.5 CVE-2020-15210 < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2, >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
Mostrar más (14) Mostrando 101 de 115

Identifica las vulnerabilidades de tu aplicación

Con la integración de DockRay y el inventario de software activado, DockRay compara las versiones notificadas de los componentes con las vulnerabilidades conocidas y avisa de las coincidencias confirmadas. La cobertura depende de la tecnología compatible y de los avisos disponibles.

Conectar tu aplicación
Newsletter DockRay

La seguridad de tus aplicaciones en tu correo

Vulnerabilidades importantes, recomendaciones concretas y consejos prácticos para tus aplicaciones. Elige tus tecnologías y sigue lo que importa para tu proyecto.

  • Un resumen diario de nuevas vulnerabilidades, también las críticas.
  • Avisos sobre actualizaciones importantes.
  • Consejos prácticos sobre seguridad y monitorización de aplicaciones.

Déjalo vacío para recibir avisos de todas las tecnologías.

Política de privacidad

Suscripción gratuita. Date de baja con un clic en cualquier correo.