Security advisory
TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2021-29520
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 31 Oct 2026, 12:43 UTC · Revision 1
Source evidence
TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
osv:CVE-2021-29520
Complete source record
{
"id": "233300ab3f4c6c5ff0d72bb5b850e68897b4e5a525ca0e60222823979bdf5cea",
"url": "https://osv.dev/vulnerability/CVE-2021-29520",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "CVE-2021-29520",
"summary": "TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.",
"evidence": "osv:CVE-2021-29520",
"products": [],
"severity": "high",
"structured": {
"id": "CVE-2021-29520",
"aliases": [
"BIT-tensorflow-2021-29520",
"CVE-2021-29520",
"GHSA-wcv5-qrj6-9pfm",
"PYSEC-2021-157",
"PYSEC-2021-448",
"PYSEC-2021-646"
],
"metrics": [
{
"type": "CVSS_V3",
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H"
}
],
"affected": [
{
"ranges": [
{
"repo": "https://github.com/tensorflow/tensorflow",
"type": "GIT",
"events": [
{
"introduced": "0"
},
{
"fixed": "0931ea3d985bb9c8fdd054a5e29c4129623c849b"
},
{
"introduced": "2b96f3662bd776e277f86997659e61046b56c315"
},
{
"fixed": "cfe0c80169ae984bcdc99ff6de7444164aaa8e07"
},
{
"introduced": "b36436b087bd8e8701ef51718179037cccdfc26e"
},
{
"fixed": "3929ffacfbef7c431e8397920d040aaf47acff19"
},
{
"introduced": "582c8d236cb079023657287c318ff26adb239002"
},
{
"fixed": "1923123d32ea41d92b70a27a3f6ecf0763b56f6c"
},
{
"fixed": "8f37b52e1320d8d72a9529b2468277791a261197"
}
],
"database_specific": {
"extracted_events": [
{
"cpe": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "0"
},
{
"fixed": "2.1.4"
}
],
"source": "CPE_RANGE"
},
{
"cpe": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "2.2.0"
},
{
"fixed": "2.2.3"
}
],
"source": "CPE_RANGE"
},
{
"cpe": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.3"
}
],
"source": "CPE_RANGE"
},
{
"cpe": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.2"
}
],
"source": "CPE_RANGE"
},
{
"range": [
{
"fixed": "8f37b52e1320d8d72a9529b2468277791a261197"
}
],
"source": "REFERENCES_COMMIT"
}
]
}
}
],
"versions": [
"v2.1.3",
"v2.2.2",
"v2.3.2",
"v2.4.1",
"v2.1.2",
"v2.2.1",
"v2.4.0",
"v2.3.1",
"v2.2.0",
"v2.1.1",
"v2.3.0",
"v2.1.0",
"v2.1.0-rc0",
"v2.1.0-rc2",
"v2.1.0-rc1",
"v1.12.1",
"v1.9.0-rc2",
"v1.6.0-rc1",
"v1.1.0-rc2",
"v1.1.0-rc1",
"0.6.0",
"0.5.0"
],
"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2021-29520.json",
"vanir_signatures": [
{
"id": "CVE-2021-29520-b46264af",
"digest": {
"threshold": 0.9,
"line_hashes": [
"130346267694675239555962600015314064582",
"1870812638792796020272407030061161348",
"80959905309595320023499196112532347190",
"130346267694675239555962600015314064582",
"1870812638792796020272407030061161348",
"80959905309595320023499196112532347190",
"324257722938086065981925465050320693107",
"158659948036379636259671468535571406635",
"324802294671987906275561130619732475302",
"324257722938086065981925465050320693107",
"158659948036379636259671468535571406635",
"324802294671987906275561130619732475302"
]
},
"source": "https://github.com/tensorflow/tensorflow/commit/8f37b52e1320d8d72a9529b2468277791a261197",
"target": {
"file": "tensorflow/core/kernels/conv_grad_ops_3d.cc"
},
"deprecated": false,
"signature_type": "Line",
"signature_version": "v1"
}
],
"vanir_signatures_modified": "2026-10-20T14:20:35Z"
}
}
],
"modified": "2026-10-20T14:20:35.217522570Z",
"provider": "osv",
"references": [
"https://github.com/tensorflow/tensorflow/commit/8f37b52e1320d8d72a9529b2468277791a261197",
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wcv5-qrj6-9pfm"
],
"provider_metadata": {}
},
"related_cves": [
{
"value": "CVE-2021-29520",
"evidence": "/id"
}
],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 388821,
"published_at": "2021-05-14T20:15:11.523+00:00"
}