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CVE-2020-5215

Segmentation faultin TensorFlow when converting a Python string to tf.float16

Medium5.0EPSS 0.59%
Published
Updated
Reserved
Assigned by
GitHub_M

Description

In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.

Scores

CVSS scores of CVE-2020-5215, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1Medium5.0CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L
NVDNVD · Modified3.1High7.5CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS (exploitation in 30 days)
0.59% · top 52% of all CVEs (6 Nov 2026)
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The list uses the assigner's score when there is one, then CISA's, then NVD's: Medium 5.0.

Weakness

Affected products

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References (4)

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .