CVE-2020-15213

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Summary

CVECVE-2020-15213
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2020-09-25 19:15:00 UTC
Updated2021-11-18 17:28:00 UTC
DescriptionIn TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps. However, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.

Risk And Classification

Problem Types: CWE-770

NVD Known Affected Configurations (CPE 2.3)

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

References

ReferenceSourceLinkTags
Denial of service from TFLite implementation of segment sum · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com Exploit, Third Party Advisory
[tflite] Validate segment ids for segment_sum. · tensorflow/tensorflow@204945b · GitHub MISC github.com Patch, Third Party Advisory
Release TensorFlow 2.3.1 · tensorflow/tensorflow · GitHub MISC github.com Third Party Advisory
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Legacy QID Mappings

  • 981463 Python (pip) Security Update for tensorflow (GHSA-hjmq-236j-8m87)
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