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CVE-2020-15195

Heap buffer overflow in Tensorflow

8.5 HighFix available

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, 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
Low
User interaction
None

What an attacker can affect

Confidentiality
High
Integrity
High
Availability
High

Exploit likelihood

0.95%Down 0.1 points since Apr 14, 2021
90%50%10%1%

What each source reports

CVE List Score used 8.5

Heap buffer overflow in Tensorflow

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
CVE-2020-15195
CVSS 3.1
8.5 HighCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H
Weakness
CWE-119, CWE-122
Updated
2026-11-02
EUVDEUVD-2020-0191 8.5

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
EUVD-2020-0191
CVSS 3.1
8.5 HighCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H
Updated
2026-11-03
GitHub AdvisoriesGHSA-63xm-rx5p-xvqr 5.8

Heap buffer overflow in Tensorflow

Impact

The implementation of SparseFillEmptyRowsGrad uses a double indexing pattern: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L263-L269

It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow.

Patches

We have patched the issue in 390611e0d45c5793c7066110af37c8514e6a6c54 and will release a patch release for all affected versions.

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-63xm-rx5p-xvqr
CVSS 4.0
5.8 MediumCVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H
CVSS 3.1
8.5 HighCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H
Weakness
CWE-119, CWE-122, CWE-787
Updated
2026-11-02
NVD 8.5

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
CVE-2020-15195
CVSS 3.1
8.5 HighCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/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-119, CWE-122, CWE-787
Updated
2026-11-02
OSV 8.8

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
CVE-2020-15195
CVSS 3.1
8.8 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Updated
2026-11-02
OSVGHSA-63xm-rx5p-xvqr 5.8

Heap buffer overflow in Tensorflow

Impact

The implementation of SparseFillEmptyRowsGrad uses a double indexing pattern: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L263-L269

It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow.

Patches

We have patched the issue in 390611e0d45c5793c7066110af37c8514e6a6c54 and will release a patch release for all affected versions.

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-63xm-rx5p-xvqr
CVSS 4.0
5.8 MediumCVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H
CVSS 3.1
8.5 HighCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H
Weakness
CWE-119, CWE-122, CWE-787
Updated
2026-11-02
Show 5 moreShow less
OSVBIT-tensorflow-2020-15195 No score

Heap buffer overflow in Tensorflow

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, 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-2020-15195
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
OSVPYSEC-2020-118 No score

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
PYSEC-2020-118
Updated
2026-11-02
OSVPYSEC-2020-275 No score

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
PYSEC-2020-275
Updated
2026-11-02
OSVPYSEC-2020-310 No score

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Record
PYSEC-2020-310
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-2020-15195 is a high vulnerability (CVSS 8.5) 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 0.95%, the 61st percentile. Fixed in tensorflow 1.15.4.

References

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