CVE-2020-5215

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Summary

CVECVE-2020-5215
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2020-01-28 22:15:00 UTC
Updated2020-02-05 21:02:00 UTC
DescriptionIn 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.

Risk And Classification

Problem Types: CWE-20

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Application Google Tensorflow All All All All

References

ReferenceSourceLinkTags
Release TensorFlow 1.15.2 · tensorflow/tensorflow · GitHub MISC github.com Release Notes
Segmentation fault when converting a Python string to `tf.float16` · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com Exploit, Patch, Third Party Advisory
Release TensorFlow 2.0.1 · tensorflow/tensorflow · GitHub MISC github.com Release Notes
Fix segfault when attempting to convert string to float16. · tensorflow/tensorflow@5ac1b9e · GitHub MISC github.com Patch
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Legacy QID Mappings

  • 983114 Python (pip) Security Update for tensorflow-gpu (GHSA-977j-xj7q-2jr9)

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