Security advisory
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.FusedBatchNorm`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the `x` tensor. Since this is controlled by the user, an attacker can trigger a denial of service. 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-2021-29555
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 31 Oct 2026, 12:44 UTC · Revision 1
Source evidence
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.FusedBatchNorm`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the `x` tensor. Since this is controlled by the user, an attacker can trigger a denial of service. 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-2021-29555
Complete source record
{
"id": "1199f4f95e6e78fd05b41907b7247b475bfb89d5c422d75d07aab4e89b31636c",
"url": "https://osv.dev/vulnerability/CVE-2021-29555",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "CVE-2021-29555",
"summary": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.FusedBatchNorm`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the `x` tensor. Since this is controlled by the user, an attacker can trigger a denial of service. 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-2021-29555",
"products": [],
"severity": "medium",
"structured": {
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"aliases": [
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"CVE-2021-29555",
"GHSA-r35g-4525-29fq",
"PYSEC-2021-192",
"PYSEC-2021-483",
"PYSEC-2021-681"
],
"metrics": [
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"type": "CVSS_V3",
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"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2021-29555.json",
"vanir_signatures": [
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"source": "https://github.com/tensorflow/tensorflow/commit/1a2a87229d1d61e23a39373777c056161eb4084d",
"target": {
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"vanir_signatures_modified": "2026-10-20T14:24:27Z"
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"modified": "2026-10-20T14:24:27.185319219Z",
"provider": "osv",
"references": [
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"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r35g-4525-29fq"
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"provider_metadata": {}
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"related_cves": [
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"evidence": "/id"
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"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 388912,
"published_at": "2021-05-14T20:15:13.16+00:00"
}