CVE-2020-15201
Summary
| CVE | CVE-2020-15201 |
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| State | PUBLIC |
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| Assigner | [email protected] |
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| Source Priority | CVE Program / NVD first with legacy fallback |
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| Published | 2020-09-25 19:15:00 UTC |
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| Updated | 2021-11-18 17:24:00 UTC |
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| Description | In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. |
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NVD Known Affected Configurations (CPE 2.3)
References
| Reference | Source | Link | Tags |
|---|
| Fix multiple vulnerabilities in `tf.raw_ops.*CountSparseOutput`. · tensorflow/tensorflow@3cbb917 · GitHub |
MISC |
github.com |
Patch, Third Party Advisory |
| Release TensorFlow 2.3.1 · tensorflow/tensorflow · GitHub |
MISC |
github.com |
Third Party Advisory |
| Heap buffer overflow due to invalid splits in RaggedCountSparseOutput · Advisory · tensorflow/tensorflow · GitHub |
CONFIRM |
github.com |
Exploit, Third Party Advisory |
| CVE Program record |
CVE.ORG |
www.cve.org |
canonical |
| NVD vulnerability detail |
NVD |
nvd.nist.gov |
canonical, analysis |
No vendor comments have been submitted for this CVE.
Legacy QID Mappings
- 980053 Python (pip) Security Update for tensorflow-gpu (GHSA-p5f8-gfw5-33w4)
