Medium severity · published Sep 25, 2020
CVE-2020-15210
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…
6.5
CVSS
0.7%
EPSS
No
On KEV
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.
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
Attack vector
Network
Complexity
High
Privileges
None
User interaction
None
Confidentiality
None
Integrity
Low
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.7% · higher than 54% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
LE
Leap · Opensuse
15.2 · source: NVD
TE
Tensorflow · Google
before 1.15.4; 2.0.0 before 2.0.3; 2.1.0 before 2.1.2; 2.2.0 before 2.2.1; 2.3.0 before 2.3.1 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2020-15210
CVE.org
https://www.cve.org/CVERecord?id=CVE-2020-15210
Mailing List
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
Patch
https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453
Third Party Advisory
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
Exploit
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2
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