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CVE-2022-23558

Integer overflow in TFLite array creation

7.6 HighFix available

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
Low
Privileges needed
Low
User interaction
None

What an attacker can affect

Confidentiality
Low
Integrity
Low
Availability
High

Exploit likelihood

0.82%Down 0.1 points since Feb 8, 2022
90%50%10%1%

What each source reports

CVE List Score used 7.6

Integer overflow in TFLite array creation

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Record
CVE-2022-23558
CVSS 3.1
7.6 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
Weakness
CWE-190
Updated
2026-11-02
EUVDEUVD-2022-0306 7.6

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Record
EUVD-2022-0306
CVSS 3.1
7.6 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
Updated
2026-11-02
GitHub AdvisoriesGHSA-9gwq-6cwj-47h3 7.2

Integer overflow in TFLite array creation

Impact

An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate:

TfLiteIntArray* TfLiteIntArrayCreate(int size) {
  int alloc_size = TfLiteIntArrayGetSizeInBytes(size);
  // ...
  TfLiteIntArray* ret = (TfLiteIntArray*)malloc(alloc_size);
  // ...
} 

The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t:

int TfLiteIntArrayGetSizeInBytes(int size) {
  static TfLiteIntArray dummy;

  int computed_size = sizeof(dummy) + sizeof(dummy.data[0]) * size;
#if defined(_MSC_VER)
  // Context for why this is needed is in http://b/189926408#comment21
  computed_size -= sizeof(dummy.data[0]);
#endif
  return computed_size;
}

An attacker can control model inputs such that computed_size overflows the size of int datatype.

Patches

We have patched the issue in GitHub commit a1e1511dde36b3f8aa27a6ec630838e7ea40e091.

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Wang Xuan of Qihoo 360 AIVul Team.

Record
GHSA-9gwq-6cwj-47h3
CVSS 4.0
7.2 HighCVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N
CVSS 3.1
7.6 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
Weakness
CWE-190
Updated
2026-11-02
NVD 7.6

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Record
CVE-2022-23558
CVSS 3.1
7.6 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
CVSS 3.1
8.8 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.0
6.5 MediumAV:N/AC:L/Au:S/C:P/I:P/A:P
Weakness
CWE-190
Updated
2026-11-02
OSV 7.6

Integer overflow in TFLite array creation

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Record
CVE-2022-23558
CVSS 3.1
7.6 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
Weakness
CWE-190
Updated
2026-11-02
OSVGHSA-9gwq-6cwj-47h3 7.2

Integer overflow in TFLite array creation

Impact

An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate:

TfLiteIntArray* TfLiteIntArrayCreate(int size) {
  int alloc_size = TfLiteIntArrayGetSizeInBytes(size);
  // ...
  TfLiteIntArray* ret = (TfLiteIntArray*)malloc(alloc_size);
  // ...
} 

The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t:

int TfLiteIntArrayGetSizeInBytes(int size) {
  static TfLiteIntArray dummy;

  int computed_size = sizeof(dummy) + sizeof(dummy.data[0]) * size;
#if defined(_MSC_VER)
  // Context for why this is needed is in http://b/189926408#comment21
  computed_size -= sizeof(dummy.data[0]);
#endif
  return computed_size;
}

An attacker can control model inputs such that computed_size overflows the size of int datatype.

Patches

We have patched the issue in GitHub commit a1e1511dde36b3f8aa27a6ec630838e7ea40e091.

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Wang Xuan of Qihoo 360 AIVul Team.

Record
GHSA-9gwq-6cwj-47h3
CVSS 4.0
7.2 HighCVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N
CVSS 3.1
7.6 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
Weakness
CWE-190
Updated
2026-11-02
Show 5 moreShow less
OSVPYSEC-2026-3151 7.2

Integer overflow in TFLite array creation

Impact

An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate:

TfLiteIntArray* TfLiteIntArrayCreate(int size) {
  int alloc_size = TfLiteIntArrayGetSizeInBytes(size);
  // ...
  TfLiteIntArray* ret = (TfLiteIntArray*)malloc(alloc_size);
  // ...
} 

The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t:

int TfLiteIntArrayGetSizeInBytes(int size) {
  static TfLiteIntArray dummy;

  int computed_size = sizeof(dummy) + sizeof(dummy.data[0]) * size;
#if defined(_MSC_VER)
  // Context for why this is needed is in http://b/189926408#comment21
  computed_size -= sizeof(dummy.data[0]);
#endif
  return computed_size;
}

An attacker can control model inputs such that computed_size overflows the size of int datatype.

Patches

We have patched the issue in GitHub commit a1e1511dde36b3f8aa27a6ec630838e7ea40e091.

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Wang Xuan of Qihoo 360 AIVul Team.

Record
PYSEC-2026-3151
CVSS 4.0
7.2 HighCVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N
CVSS 3.1
7.6 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
Updated
2026-11-02
OSVBIT-tensorflow-2022-23558 No score

Integer overflow in TFLite array creation

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Record
BIT-tensorflow-2022-23558
Updated
2026-11-02
OSVopenSUSE-SU-2024:12116-1 No score

tensorflow-lite-2.9.1-1.1 on GA media

These are all security issues fixed in the tensorflow-lite-2.9.1-1.1 package on the GA media of openSUSE Tumbleweed.

Record
openSUSE-SU-2024:12116-1
Updated
2026-11-02
OSVPYSEC-2022-122 No score

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Record
PYSEC-2022-122
Updated
2026-11-02
OSVPYSEC-2022-67 No score

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Record
PYSEC-2022-67
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
tensorflow
PyPI
before 2.5.3
2.5.3
tensorflow
PyPI
2.6.0 up to 2.6.3
2.6.3
tensorflow
PyPI
2.7.0 to 2.7.0
2.7.1
tensorflow-cpu
PyPI
before 2.5.3
2.5.3
tensorflow-cpu
PyPI
2.6.0 up to 2.6.3
2.6.3
tensorflow-cpu
PyPI
2.7.0 to 2.7.0
2.7.1
tensorflow-gpu
PyPI
before 2.5.3
2.5.3
tensorflow-gpu
PyPI
2.6.0 up to 2.6.3
2.6.3
tensorflow-gpu
PyPI
2.7.0 to 2.7.0
2.7.1
tensorflow
Bitnami
before 2.5.3, 2.6.0 up to 2.6.3, 2.7.0 up to 2.7.1
2.5.32.6.32.7.1
Show 12 moreShow less
Affected packages
PackageAffectedFixed
tensorflow
PyPI
before 2.5.3, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.5.3
tensorflow
PyPI
2.6.0 up to 2.6.3, plus listed versions
2.6.12.6.2
2.6.3
tensorflow
PyPI
2.7.0 up to 2.7.1
2.7.1
tensorflow-cpu
PyPI
before 2.5.3, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
Show 18 moreShow less
2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.2
2.5.3
tensorflow-cpu
PyPI
2.6.0 up to 2.6.3, plus listed versions
2.6.12.6.2
2.6.3
tensorflow-cpu
PyPI
2.7.0 up to 2.7.1
2.7.1
tensorflow-gpu
PyPI
before 2.5.3, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.5.3
tensorflow-gpu
PyPI
2.6.0 up to 2.6.3, plus listed versions
2.6.12.6.2
2.6.3
tensorflow-gpu
PyPI
2.7.0 up to 2.7.1
2.7.1
tensorflow-gpu
PyPI
before 2.5.3, 2.6.0 up to 2.6.3, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.5.32.6.3
tensorflow-cpu
PyPI
before 2.5.3, 2.6.0 up to 2.6.3, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
Show 20 moreShow less
2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.6.12.6.2
2.5.32.6.3
tensorflow
PyPI
before 2.5.3, 2.6.0 up to 2.6.3, 2.7.0 up to 2.7.1, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.5.32.6.32.7.1

History

History
RecordedChangedSources
facts
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2022-23558 is a high vulnerability (CVSS 7.6) in Google Tensorflow, published February 4, 2022. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.82%, the 57th percentile. Fixed in tensorflow 2.5.3.

References

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