CVE-2020-15195
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.
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
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 High
CVSS: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 High
CVSS: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 Medium
CVSS: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 High
CVSS: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 High
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H - CVSS 3.1
- 8.8 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - CVSS 2.0
- 6.5 Medium
AV: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 High
CVSS: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 Medium
CVSS: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 High
CVSS: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
| Package | Affected | Fixed |
|---|---|---|
tensorflowPyPI |
before 1.15.4 | 1.15.4 |
tensorflowPyPI |
2.0.0 up to 2.0.3 | 2.0.3 |
tensorflowPyPI |
2.1.0 up to 2.1.2 | 2.1.2 |
tensorflowPyPI |
2.2.0 to 2.2.0 | 2.2.1 |
tensorflowPyPI |
2.3.0 to 2.3.0 | 2.3.1 |
tensorflow-cpuPyPI |
before 1.15.4 | 1.15.4 |
tensorflow-cpuPyPI |
2.0.0 up to 2.0.3 | 2.0.3 |
tensorflow-cpuPyPI |
2.1.0 up to 2.1.2 | 2.1.2 |
tensorflow-cpuPyPI |
2.2.0 to 2.2.0 | 2.2.1 |
tensorflow-cpuPyPI |
2.3.0 to 2.3.0 | 2.3.1 |
Show 27 moreShow less
| Package | Affected | Fixed |
|---|---|---|
tensorflow-gpuPyPI |
before 1.15.4 | 1.15.4 |
tensorflow-gpuPyPI |
2.0.0 up to 2.0.3 | 2.0.3 |
tensorflow-gpuPyPI |
2.1.0 up to 2.1.2 | 2.1.2 |
tensorflow-gpuPyPI |
2.2.0 to 2.2.0 | 2.2.1 |
tensorflow-gpuPyPI |
2.3.0 to 2.3.0 | 2.3.1 |
tensorflowBitnami |
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 |
tensorflowPyPI |
before 1.15.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 24 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.0 |
1.15.4 |
tensorflowPyPI |
2.0.0 up to 2.0.3, plus listed versions 2.0.12.0.2 |
2.0.3 |
tensorflowPyPI |
2.1.0 up to 2.1.2, plus listed versions 2.1.1 |
2.1.2 |
tensorflowPyPI |
2.2.0 up to 2.2.1 | 2.2.1 |
tensorflowPyPI |
2.3.0 up to 2.3.1 | 2.3.1 |
tensorflow-cpuPyPI |
before 1.15.4, plus listed versions 1.15.0 |
1.15.4 |
tensorflow-cpuPyPI |
2.1.0 up to 2.1.2, plus listed versions 2.1.1 |
2.1.2 |
tensorflow-cpuPyPI |
2.2.0 up to 2.2.1 | 2.2.1 |
tensorflow-cpuPyPI |
2.3.0 up to 2.3.1 | 2.3.1 |
tensorflow-gpuPyPI |
before 1.15.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 24 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.0 |
1.15.4 |
tensorflow-gpuPyPI |
2.0.0 up to 2.0.3, plus listed versions 2.0.12.0.2 |
2.0.3 |
tensorflow-gpuPyPI |
2.1.0 up to 2.1.2, plus listed versions 2.1.1 |
2.1.2 |
tensorflow-gpuPyPI |
2.2.0 up to 2.2.1 | 2.2.1 |
tensorflow-gpuPyPI |
2.3.0 up to 2.3.1 | 2.3.1 |
tensorflowPyPI |
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 less1.0.11.1.0rc01.1.0rc11.1.0rc21.1.01.2.0rc01.2.0rc11.2.0rc21.2.01.2.11.3.0rc01.3.0rc11.3.0rc21.3.01.4.0rc01.4.0rc11.4.01.4.11.5.0rc01.5.0rc11.5.01.5.11.6.0rc01.6.0rc11.6.01.7.0rc01.7.0rc11.7.01.7.11.8.0rc01.8.0rc11.8.01.9.0rc01.9.0rc11.9.0rc21.9.01.10.0rc01.10.0rc11.10.01.10.11.11.0rc01.11.0rc11.11.0rc21.11.01.12.0rc0 |
1.15.42.0.32.1.22.2.12.3.1 |
tensorflow-cpuPyPI |
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-gpuPyPI |
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 less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.12.0.22.1.1 |
1.15.42.0.32.1.22.2.12.3.1 |
tensorflow2openSUSE: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-liteopenSUSE: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-hpcopenSUSE: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-hpcopenSUSE: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
| Recorded | Changed | Sources |
|---|---|---|
| affected, facts | ||
| aliases | EUVD | |
| first indexed | CVE 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
github.com/tensorflow/tensorflow/releases/tag/v2.3.1
github.com/tensorflow/tensorflow/security/advisories/GHSA-63xm-rx5p-xvqr
github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54
lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
nvd.nist.gov/vuln/detail/CVE-2020-15195
github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-275.yaml
Show 25 moreShow less
github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-310.yaml
github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-118.yaml
github.com/advisories/GHSA-63xm-rx5p-xvqr
github.com/tensorflow/tensorflow
lists.opensuse.org/archives/list/[email protected]/thread/TNMEEN772D6LWSHNB64QFB5TB3CZZEF4
bugzilla.suse.com/1173314
bugzilla.suse.com/1175099
bugzilla.suse.com/1175789
bugzilla.suse.com/1177022
suse.com/security/cve/CVE-2020-15190
suse.com/security/cve/CVE-2020-15191
suse.com/security/cve/CVE-2020-15192
suse.com/security/cve/CVE-2020-15193
suse.com/security/cve/CVE-2020-15194
suse.com/security/cve/CVE-2020-15195
suse.com/security/cve/CVE-2020-15202
suse.com/security/cve/CVE-2020-15203
suse.com/security/cve/CVE-2020-15204
suse.com/security/cve/CVE-2020-15205
suse.com/security/cve/CVE-2020-15206
suse.com/security/cve/CVE-2020-15207
suse.com/security/cve/CVE-2020-15208
suse.com/security/cve/CVE-2020-15209
suse.com/security/cve/CVE-2020-15210
suse.com/security/cve/CVE-2020-15211
Left out here: 23 versions. The JSON record has them.