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Critical

Security advisory

Type: advisorySources: OSVCVE: CVE-2020-15196

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

CVE-2020-15196

core-osv · Original source

Published 25 Sept 2020, 19:15 UTC

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
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  "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": [
        {
          "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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      "affected": [
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                    "cpe": "cpe:2.3:a:google:tensorflow:2.3.0:*:*:*:-:*:*:*",
                    "range": [
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                        "introduced": "2.3.0"
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                        "last_affected": "2.3.0"
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                    "range": [
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                    "range": [
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                    "source": "REFERENCES_TAG",
                    "original_tag": "v2.3.1"
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          ],
          "versions": [
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            "v2.3.0"
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          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2020-15196.json",
            "vanir_signatures": [
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                "source": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02",
                "target": {
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            "vanir_signatures_modified": "2026-10-20T14:10:40Z"
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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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    "severity_evidence": "/severity/0/score"
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  "source_id": "core-osv",
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  "published_at": "2020-09-25T19:15:14.87+00:00"
}