Tensorflow
CVE-2020-26266
MEDIUM
Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
Lifecycle Timeline
1Blast Radius
ecosystem impact- 46 pypi packages depend on tensorflow (41 direct, 5 indirect)
- 11 pypi packages depend on tensorflow-gpu (11 direct, 0 indirect)
Ecosystem-wide dependent count for version 2.0.0 and other introduced versions.
DescriptionNVD
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.
AnalysisAI
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. Rated medium severity (CVSS 5.3), this vulnerability is low attack complexity. Public exploit code available.
Technical ContextAI
This vulnerability is classified as Use of Uninitialized Resource (CWE-908), which allows attackers to access uninitialized memory causing crashes or information disclosure. 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. Affected products include: Google Tensorflow.
RemediationAI
A vendor patch is available. Apply the latest security update as soon as possible. Initialize all variables, use compiler warnings for uninitialized access, use memory-safe languages.
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Same weakness CWE-908 – Use of Uninitialized Resource
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External POC / Exploit Code
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