CVE-2020-15212

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Summary

CVECVE-2020-15212
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2020-09-25 19:15:00 UTC
Updated2021-08-17 13:21:00 UTC
DescriptionIn TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `output_data` buffer. This might result in a segmentation fault but it can also be used to further corrupt the memory and can be chained with other vulnerabilities to create more advanced exploits. 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 the model loading code to ensure that the segment ids are all positive, although this only handles the case when the segment ids are stored statically in the model. A similar validation could be done if the segment ids are generated at runtime between inference steps. 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-787

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
Out of bounds access in TFLite implementation of segment sum · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com Exploit, Patch, 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

  • 981461 Python (pip) Security Update for tensorflow (GHSA-hx2x-85gr-wrpq)
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