CVE-2020-5215

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.

How to fix CVE-2020-5215

To remediate CVE-2020-5215, upgrade the affected package to a fixed version below.

—upgrade to 1.15.2 or later
—upgrade to 1.15.2 or later
—upgrade to 5ac1b9e24ff6afc465756edf845d2e9660bd34bf or later
—upgrade to 5ac1b9e24ff6afc465756edf845d2e9660bd34bf or later
—upgrade to 1.15.2 or later
—upgrade to 5ac1b9e24ff6afc465756edf845d2e9660bd34bf or later
—upgrade to 1.15.2 or later

Is CVE-2020-5215 being exploited?

Low — EPSS is 0.2%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

from 0, < 1.15.2, >= 2.0.0, < 2.0.1
from 0, < 1.15.2
from 0, < 5ac1b9e24ff6afc465756edf845d2e9660bd34bf | from 0, < 1.15.2, >= 2.0.0, < 2.0.1
from 0, < 5ac1b9e24ff6afc465756edf845d2e9660bd34bf | from 0, < 1.15.2, >= 2.0.0, < 2.0.1
from 0, < 1.15.2
from 0, < 5ac1b9e24ff6afc465756edf845d2e9660bd34bf | from 0, < 1.15.2, >= 2.0.0, < 2.0.1
from 0, < 1.15.2

CVSS scores

Source	Version	Severity	Vector
osv	CVSS 4.0	—	CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:P/VC:L/VI:L/VA:L/SC:L/SI:L/SA:L
osv	CVSS 3.1	MEDIUM5.0	CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L