Medium severity · published Dec 10, 2020
CVE-2020-26266
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution
5.3
CVSS
0.3%
EPSS
No
On KEV
Description
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
CVSS vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
Attack vector
Local
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
Low
Integrity
Low
Availability
Low
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.3% · higher than 18% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
before 1.15.5; 2.0.0 before 2.0.4; 2.1.0 before 2.1.3; 2.2.0 before 2.2.2; 2.3.0 before 2.3.2 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2020-26266
CVE.org
https://www.cve.org/CVERecord?id=CVE-2020-26266
Patch
https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2
Exploit
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2
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