Vulnerability · Published Jan 28, 2020 · Assigned by GitHub_M

CVE-2020-5215Segmentation faultin TensorFlow when converting a Python string to tf.float16

Medium 5.0

In plain English

A medium-severity security flaw in TensorFlow from TensorFlow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.6% (higher than 48% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.0Medium
Exploit odds (30 days)0.6%top 51.7% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official 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 packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow1.15.2, 2.0.1PYSEC-2020-258
PyPItensorflow1.15.2GHSA-977j-xj7q-2jr9
PyPItensorflow2.0.1GHSA-977j-xj7q-2jr9
PyPItensorflow-cpu1.15.2, 2.0.1PYSEC-2020-303
PyPItensorflow-cpu2.0.1GHSA-977j-xj7q-2jr9
PyPItensorflow-cpu1.15.2GHSA-977j-xj7q-2jr9
PyPItensorflow-gpu1.15.2, 2.0.1PYSEC-2020-338
PyPItensorflow-gpu1.15.2GHSA-977j-xj7q-2jr9
PyPItensorflow-gpu2.0.1GHSA-977j-xj7q-2jr9

Affected products (as reported)

VendorProductVersions
TensorFlow TensorFlow < 1.15.2= 2.0.0

Weakness: CWE-754 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L

References