Every CVE Search/ Get API key

CVE-2020-15207

Segfault and data corruption in tensorflow-lite

8.7 HighFix available

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
High
Privileges needed
None
User interaction
None

What an attacker can affect

Confidentiality
None
Integrity
High
Availability
High

Exploit likelihood

1.24%Down 0.6 points since Apr 14, 2021
90%50%10%1%

What each source reports

CVE List Score used 8.7

Segfault and data corruption in tensorflow-lite

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
CVE-2020-15207
CVSS 3.1
8.7 HighCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/A:H
Weakness
CWE-119
Updated
2026-11-02
EUVDEUVD-2020-0203 8.7

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
EUVD-2020-0203
CVSS 3.1
8.7 HighCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/A:H
Updated
2026-11-03
GitHub AdvisoriesGHSA-q4qf-3fc6-8x34 6.4

Segfault and data corruption in tensorflow-lite

Impact

To mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/reference/reduce.h#L68-L72

If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption.

Patches

We have patched the issue in 2d88f470dea2671b430884260f3626b1fe99830a and will release patch releases for all versions between 1.15 and 2.3.

We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 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 has been reported by members of the Aivul Team from Qihoo 360.

Record
GHSA-q4qf-3fc6-8x34
CVSS 4.0
6.4 MediumCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:N/SI:H/SA:H
CVSS 3.1
8.7 HighCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/A:H
Weakness
CWE-119, CWE-787
Updated
2026-11-02
NVD 8.7

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
CVE-2020-15207
CVSS 3.1
8.7 HighCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/A:H
CVSS 3.1
9.0 CriticalCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
CVSS 2.0
6.8 MediumAV:N/AC:M/Au:N/C:P/I:P/A:P
Weakness
CWE-119, CWE-787
Updated
2026-11-02
OSV 9.0

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
CVE-2020-15207
CVSS 3.1
9.0 CriticalCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
Updated
2026-11-02
OSVGHSA-q4qf-3fc6-8x34 6.4

Segfault and data corruption in tensorflow-lite

Impact

To mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/reference/reduce.h#L68-L72

If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption.

Patches

We have patched the issue in 2d88f470dea2671b430884260f3626b1fe99830a and will release patch releases for all versions between 1.15 and 2.3.

We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 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 has been reported by members of the Aivul Team from Qihoo 360.

Record
GHSA-q4qf-3fc6-8x34
CVSS 4.0
6.4 MediumCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:N/SI:H/SA:H
CVSS 3.1
8.7 HighCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/A:H
Weakness
CWE-119, CWE-787
Updated
2026-11-02
Show 6 moreShow less
OSVBIT-tensorflow-2020-15207 No score

Segfault and data corruption in tensorflow-lite

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
BIT-tensorflow-2020-15207
Updated
2026-11-02
OSVopenSUSE-SU-2020:1766-1 No score

Security update for tensorflow2

This update for tensorflow2 fixes the following issues:

  • updated to 2.1.2 with following fixes (boo#1177022):
    • Fixes an undefined behavior causing a segfault in tf.raw_ops.Switch (CVE-2020-15190)
    • Fixes three vulnerabilities in conversion to DLPack format (CVE-2020-15191, CVE-2020-15192, CVE-2020-15193)
    • Fixes two vulnerabilities in SparseFillEmptyRowsGrad (CVE-2020-15194, CVE-2020-15195)
    • Fixes an integer truncation vulnerability in code using the work sharder API (CVE-2020-15202)
    • Fixes a format string vulnerability in tf.strings.as_string (CVE-2020-15203)
    • Fixes segfault raised by calling session-only ops in eager mode (CVE-2020-15204)
    • Fixes data leak and potential ASLR violation from tf.raw_ops.StringNGrams (CVE-2020-15205)
    • Fixes segfaults caused by incomplete SavedModel validation (CVE-2020-15206)
    • Fixes a data corruption due to a bug in negative indexing support in TFLite (CVE-2020-15207)
    • Fixes a data corruption due to dimension mismatch in TFLite (CVE-2020-15208)
    • Fixes several vulnerabilities in TFLite saved model format (CVE-2020-15209, CVE-2020-15210, CVE-2020-15211)
Record
openSUSE-SU-2020:1766-1
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-2020-130 No score

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
PYSEC-2020-130
Updated
2026-11-02
OSVPYSEC-2020-287 No score

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
PYSEC-2020-287
Updated
2026-11-02
OSVPYSEC-2020-322 No score

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
PYSEC-2020-322
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
tensorflow
PyPI
 before 1.15.4
1.15.4
tensorflow
PyPI
 2.0.0 up to 2.0.3
2.0.3
tensorflow
PyPI
 2.1.0 up to 2.1.2
2.1.2
tensorflow
PyPI
 2.2.0 to 2.2.0
2.2.1
tensorflow
PyPI
 2.3.0 to 2.3.0
2.3.1
tensorflow-cpu
PyPI
 before 1.15.4
1.15.4
tensorflow-cpu
PyPI
 2.0.0 up to 2.0.3
2.0.3
tensorflow-cpu
PyPI
 2.1.0 up to 2.1.2
2.1.2
tensorflow-cpu
PyPI
 2.2.0 to 2.2.0
2.2.1
tensorflow-cpu
PyPI
 2.3.0 to 2.3.0
2.3.1
Show 27 moreShow less
Affected packages
PackageAffectedFixed
tensorflow-gpu
PyPI
 before 1.15.4
1.15.4
tensorflow-gpu
PyPI
 2.0.0 up to 2.0.3
2.0.3
tensorflow-gpu
PyPI
 2.1.0 up to 2.1.2
2.1.2
tensorflow-gpu
PyPI
 2.2.0 to 2.2.0
2.2.1
tensorflow-gpu
PyPI
 2.3.0 to 2.3.0
2.3.1
tensorflow
Bitnami
 before 1.15.4, 2.0.0 up to 2.0.3, 2.1.0 up to 2.1.2, 2.2.0 up to 2.2.1, 2.3.0 up to 2.3.1
1.15.42.0.32.1.22.2.12.3.1
tensorflow
PyPI
 before 1.15.4, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 24 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.0
1.15.4
tensorflow
PyPI
 2.0.0 up to 2.0.3, plus listed versions
2.0.12.0.2
2.0.3
tensorflow
PyPI
 2.1.0 up to 2.1.2, plus listed versions
2.1.1
2.1.2
tensorflow
PyPI
 2.2.0 up to 2.2.1
2.2.1
tensorflow
PyPI
 2.3.0 up to 2.3.1
2.3.1
tensorflow-cpu
PyPI
 before 1.15.4, plus listed versions
1.15.0
1.15.4
tensorflow-cpu
PyPI
 2.1.0 up to 2.1.2, plus listed versions
2.1.1
2.1.2
tensorflow-cpu
PyPI
 2.2.0 up to 2.2.1
2.2.1
tensorflow-cpu
PyPI
 2.3.0 up to 2.3.1
2.3.1
tensorflow-gpu
PyPI
 before 1.15.4, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 24 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.0
1.15.4
tensorflow-gpu
PyPI
 2.0.0 up to 2.0.3, plus listed versions
2.0.12.0.2
2.0.3
tensorflow-gpu
PyPI
 2.1.0 up to 2.1.2, plus listed versions
2.1.1
2.1.2
tensorflow-gpu
PyPI
 2.2.0 up to 2.2.1
2.2.1
tensorflow-gpu
PyPI
 2.3.0 up to 2.3.1
2.3.1
tensorflow
PyPI
 before 1.15.4, 2.0.0 up to 2.0.3, 2.1.0 up to 2.1.2, 2.2.0 up to 2.2.1, 2.3.0 up to 2.3.1, plus listed versions
0.12.0rc00.12.0rc10.12.00.12.11.0.0
Show 45 moreShow less
1.0.11.1.0rc01.1.0rc11.1.0rc21.1.01.2.0rc01.2.0rc11.2.0rc21.2.01.2.11.3.0rc01.3.0rc11.3.0rc21.3.01.4.0rc01.4.0rc11.4.01.4.11.5.0rc01.5.0rc11.5.01.5.11.6.0rc01.6.0rc11.6.01.7.0rc01.7.0rc11.7.01.7.11.8.0rc01.8.0rc11.8.01.9.0rc01.9.0rc11.9.0rc21.9.01.10.0rc01.10.0rc11.10.01.10.11.11.0rc01.11.0rc11.11.0rc21.11.01.12.0rc0
1.15.42.0.32.1.22.2.12.3.1
tensorflow-cpu
PyPI
 before 1.15.4, 2.0.0 up to 2.0.3, 2.1.0 up to 2.1.2, 2.2.0 up to 2.2.1, 2.3.0 up to 2.3.1, plus listed versions
1.15.02.1.1
1.15.42.0.32.1.22.2.12.3.1
tensorflow-gpu
PyPI
 before 1.15.4, 2.0.0 up to 2.0.3, 2.1.0 up to 2.1.2, 2.2.0 up to 2.2.1, 2.3.0 up to 2.3.1, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 27 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.12.0.22.1.1
1.15.42.0.32.1.22.2.12.3.1
tensorflow2
openSUSE:Leap 15.2
From an advisory covering 16 CVEs
 before 2.1.2-lp152.7.3.1
2.1.2-lp152.7.3.1
tensorflow2-lite
openSUSE:Leap 15.2
From an advisory covering 16 CVEs
 before 2.1.2-lp152.7.3.1
2.1.2-lp152.7.3.1
tensorflow2_2_1_2-gnu-hpc
openSUSE:Leap 15.2
From an advisory covering 16 CVEs
 before 2.1.2-lp152.7.3.1
2.1.2-lp152.7.3.1
tensorflow2_2_1_2-gnu-openmpi2-hpc
openSUSE:Leap 15.2
From an advisory covering 16 CVEs
 before 2.1.2-lp152.7.3.1
2.1.2-lp152.7.3.1

History

History
RecordedChangedSources
affected, facts
aliasesEUVD
first indexedCVE List, GitHub Advisories, NVD, OSV

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

In short

CVE-2020-15207 is a high vulnerability (CVSS 8.7) in Google Tensorflow, published September 25, 2020. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 1.24%, the 69th percentile. Fixed in tensorflow 1.15.4.

References

Show 177 moreShow less
This page doesn't list everything

Left out here: 23 versions. The JSON record has them.

Pages All vulnerabilities Browse Docs Sources Guide Get API key
MoveEnter Open