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CVE-2020-15210

MEDIUM
Published 2020-09-25T18:45:30
Actions:

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CVSS Score

V3.1
6.5
/10
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.003
probability
of exploitation in the wild

There is a 0.3% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.552
Higher than 55.2% of all CVEs

Attack Vector Metrics

Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED

Impact Metrics

Confidentiality
NONE
Integrity
LOW
Availability
HIGH

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b 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.

Available Exploits

No exploits available for this CVE.

Related News

No news articles found for this CVE.

Affected Products

tensorflow

tensorflow

Affected Versions:

< 1.15.4 >= 2.0.0, < 2.0.3 >= 2.1.0, < 2.1.2 >= 2.2.0, < 2.2.1 >= 2.3.0, < 2.3.1

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed HIGH

Segmentation fault in tensorflow-lite

GHSA-x9j7-x98r-r4w2

Advisory Details

### Impact If a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. ### Patches We have patched the issue in d58c96946b 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. ### Workarounds A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that no operator reuses tensors as both inputs and outputs. Care should be taken to check all types of inputs (i.e., constant or variable tensors as well as optional tensors). ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been discovered from a variant analysis of [GHSA-cvpc-8phh-8f45](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cvpc-8phh-8f45).

Affected Packages

PyPI tensorflow
ECOSYSTEM: ≥0 <1.15.4
PyPI tensorflow
ECOSYSTEM: ≥2.0.0 <2.0.3
PyPI tensorflow
ECOSYSTEM: ≥2.1.0 <2.1.2
PyPI tensorflow
ECOSYSTEM: ≥2.2.0 <2.2.1
PyPI tensorflow
ECOSYSTEM: ≥2.3.0 <2.3.1
PyPI tensorflow-cpu
ECOSYSTEM: ≥0 <1.15.4
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.0.0 <2.0.3
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.1.0 <2.1.2
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.2.0 <2.2.1
PyPI tensorflow-gpu
ECOSYSTEM: ≥0 <1.15.4
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.0.0 <2.0.3
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.1.0 <2.1.2
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.2.0 <2.2.1
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.3.0 <2.3.1
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.3.0 <2.3.1

CVSS Scoring

CVSS Score

7.5

CVSS Vector

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

References

WEB https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2
ADVISORY https://nvd.nist.gov/vuln/detail/CVE-2020-15210
WEB https://github.com/tensorflow/tensorflow/commit/094329d0dcb8290bed2b1ee420934971f422c86d
WEB https://github.com/tensorflow/tensorflow/commit/1c8709b437fec10875b0cf271889afec9bbf582e
WEB https://github.com/tensorflow/tensorflow/commit/8c2092e9f9ef78b3f9060f8bf5ce7a49d1ccdc8f
WEB https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453
WEB https://github.com/tensorflow/tensorflow/commit/f4159ccef23d11eb58ee4263beaaeac1be3343c7
WEB https://github.com/tensorflow/tensorflow/commit/f50a14b00560a383865c2273e4a9094add3888d5
WEB https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-290.yaml
WEB https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-325.yaml
WEB https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-133.yaml
PACKAGE https://github.com/tensorflow/tensorflow
WEB https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
WEB http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html

Advisory provided by GitHub Security Advisory Database. Published: September 25, 2020, Modified: October 28, 2024

References

https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2
https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
Published: 2020-09-25T18:45:30
Last Modified: 2024-08-04T13:08:22.871Z
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