Security advisory
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2020-15196
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 31 Oct 2026, 12:38 UTC · Revision 1
Source evidence
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
osv:CVE-2020-15196
Complete source record
{
"id": "470580a2702ab19bb06f7234650e7ebd7fd32290080f3df902b5fab32c456080",
"url": "https://osv.dev/vulnerability/CVE-2020-15196",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "CVE-2020-15196",
"summary": "In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.",
"evidence": "osv:CVE-2020-15196",
"products": [],
"severity": "critical",
"structured": {
"id": "CVE-2020-15196",
"aliases": [
"BIT-tensorflow-2020-15196",
"CVE-2020-15196",
"GHSA-pg59-2f92-5cph",
"PYSEC-2020-119",
"PYSEC-2020-276",
"PYSEC-2020-311"
],
"metrics": [
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"type": "CVSS_V3",
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H"
}
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"source": "REFERENCES_TAG",
"original_tag": "v2.3.1"
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"versions": [
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"database_specific": {
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"source": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02",
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"modified": "2026-10-20T14:10:40.863577085Z",
"provider": "osv",
"references": [
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"https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02",
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"source_id": "core-osv",
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"published_at": "2020-09-25T19:15:14.87+00:00"
}