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Crítica

Out of bounds write in tensorflow-lite

  • Publicada: 25.09.2020
  • Actualizado: 11.10.2026 13:19

Impact

In TensorFlow Lite models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the dimensionality of output tensor: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/segment_sum.cc#L39-L44

This results in allocating insufficient memory for the output tensor and in a write outside the bounds of the output array: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/reference/reference_ops.h#L2625-L2631

This usually results in a segmentation fault, but depending on runtime conditions it can provide for a write gadget to be used in future memory corruption-based exploits.

Patches

We have patched the issue in 204945b and will release patch releases for all affected versions.

We recommend users to upgrade to TensorFlow 2.2.1, or 2.3.1.

Workarounds

A potential workaround would be to add a custom Verifier to the model loading code to ensure that the segment ids are sorted, although this only handles the case when the segment ids are stored statically in the model.

A similar validation could be done if the segment ids are generated at runtime between inference steps.

If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.

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.

Software afectado

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PlataformaPaqueteVersiones vulnerablesCorregida en
Python (PyPI) tensorflow >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 2.2.1, 2.3.1
Python (PyPI) tensorflow-cpu >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 2.2.1, 2.3.1
Python (PyPI) tensorflow-gpu >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 2.2.1, 2.3.1

Referencias

Puntuación CVSS 8.1/10
Vector CVSS
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:H
Debilidad (CWE)
CWE-787
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-2020-137 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2020-294 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2020-329 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-p2cq-cprg-frvm - 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. Out of bounds write in tensorflow-lite esta entrada
    Crítica · 8.1 CVE-2020-15214 >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 2.2.1, 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
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