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.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2021-29554
- 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.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.
osv:CVE-2021-29554
Complete source record
{
"id": "ae18bac744e0d02287c69ac5a1f130dc18763b9fa9c0c8d0ecfc27a3777919a1",
"url": "https://osv.dev/vulnerability/CVE-2021-29554",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "CVE-2021-29554",
"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.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.",
"evidence": "osv:CVE-2021-29554",
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"severity": "medium",
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"aliases": [
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"CVE-2021-29554",
"GHSA-qg48-85hg-mqc5",
"PYSEC-2021-191",
"PYSEC-2021-482",
"PYSEC-2021-680"
],
"metrics": [
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"database_specific": {
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"vanir_signatures": [
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"source": "https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f",
"target": {
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"modified": "2026-10-20T14:24:30.106944359Z",
"provider": "osv",
"references": [
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"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qg48-85hg-mqc5"
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"related_cves": [
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"evidence": "/id"
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],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
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"source_id": "core-osv",
"document_id": 388920,
"published_at": "2021-05-14T19:15:07.8+00:00"
}