CVEvulnerability

CVE-2020-5215

7.5 HIGH Published 2020-01-28 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2020-01-28
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
5.0 MEDIUM — CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L
CVSS 3.1 ([email protected])
7.5 HIGH — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CVSS 2.0 ([email protected])
4.3 MEDIUM — AV:N/AC:M/Au:N/C:N/I:N/A:P
Weaknesses
CWE-20, CWE-754

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.

Affected configurations

• google tensorflow (< 1.15.2) • google tensorflow (>= 2.0.0 < 2.0.1)

Related

Weakness · CWE (2)

  • CWE-20 Improper Input Validation weakness
  • CWE-754 Improper Check for Unusual or Exceptional Conditions weakness

References