{"api_version":"1","generated_at":"2026-07-24T18:55:57+00:00","cve":"CVE-2021-29548","urls":{"html":"https://cve.report/CVE-2021-29548","api":"https://cve.report/api/cve/CVE-2021-29548.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2021-29548","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2021-29548"},"summary":{"title":"CVE-2021-29548","description":"TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization). 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.","state":"PUBLIC","assigner":"security-advisories@github.com","published_at":"2021-05-14 20:15:00","updated_at":"2021-05-20 15:17:00"},"problem_types":["CWE-369"],"metrics":[],"references":[{"url":"https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b","name":"https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b","refsource":"MISC","tags":[],"title":"Add missing validation in `QuantizedBatchNormWithGlobalNormalization` · tensorflow/tensorflow@d6ed5bc · GitHub","mime":"text/html","httpstatus":"200","archivestatus":"503"},{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr","name":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr","refsource":"CONFIRM","tags":[],"title":"Division by 0 in `QuantizedBatchNormWithGlobalNormalization` · Advisory · tensorflow/tensorflow · GitHub","mime":"text/html","httpstatus":"200","archivestatus":"404"},{"url":"https://www.cve.org/CVERecord?id=CVE-2021-29548","name":"CVE Program record","refsource":"CVE.ORG","tags":["canonical"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2021-29548","name":"NVD vulnerability detail","refsource":"NVD","tags":["canonical","analysis"]}],"affected":[],"timeline":[],"solutions":[],"workarounds":[],"exploits":[],"credits":[],"nvd_cpes":[{"cve_year":"2021","cve_id":"29548","vulnerable":"1","versionEndIncluding":"","cpe1":"cpe","cpe2":"2.3","cpe3":"a","cpe4":"google","cpe5":"tensorflow","cpe6":"*","cpe7":"*","cpe8":"*","cpe9":"*","cpe10":"*","cpe11":"*","cpe12":"*","cpe13":"*"}],"vendor_comments":[],"enrichments":{"kev":null,"epss":null,"legacy_qids":[{"cve":"CVE-2021-29548","qid":"982501","title":"Python (pip) Security Update for tensorflow-gpu (GHSA-p45v-v4pw-77jr)"}]},"source_records":{"cve_program":{"CVE_data_meta":{"ASSIGNER":"security-advisories@github.com","ID":"CVE-2021-29548","STATE":"PUBLIC","TITLE":"Division by 0 in `QuantizedBatchNormWithGlobalNormalization`"},"affects":{"vendor":{"vendor_data":[{"product":{"product_data":[{"product_name":"tensorflow","version":{"version_data":[{"version_value":"< 2.1.4"},{"version_value":">= 2.2.0, < 2.2.3"},{"version_value":">= 2.3.0, < 2.3.3"},{"version_value":">= 2.4.0, < 2.4.2"}]}}]},"vendor_name":"tensorflow"}]}},"data_format":"MITRE","data_type":"CVE","data_version":"4.0","description":{"description_data":[{"lang":"eng","value":"TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization). 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."}]},"impact":{"cvss":{"attackComplexity":"HIGH","attackVector":"LOCAL","availabilityImpact":"LOW","baseScore":2.5,"baseSeverity":"LOW","confidentialityImpact":"NONE","integrityImpact":"NONE","privilegesRequired":"LOW","scope":"UNCHANGED","userInteraction":"NONE","vectorString":"CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L","version":"3.1"}},"problemtype":{"problemtype_data":[{"description":[{"lang":"eng","value":"CWE-369: Divide By Zero"}]}]},"references":{"reference_data":[{"name":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr","refsource":"CONFIRM","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr"},{"name":"https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b","refsource":"MISC","url":"https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b"}]},"source":{"advisory":"GHSA-p45v-v4pw-77jr","discovery":"UNKNOWN"}},"nvd":{"publishedDate":"2021-05-14 20:15:00","lastModifiedDate":"2021-05-20 15:17:00","problem_types":["CWE-369"],"metrics":{"baseMetricV3":{"cvssV3":{"version":"3.1","vectorString":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","attackVector":"LOCAL","attackComplexity":"LOW","privilegesRequired":"LOW","userInteraction":"NONE","scope":"UNCHANGED","confidentialityImpact":"NONE","integrityImpact":"NONE","availabilityImpact":"HIGH","baseScore":5.5,"baseSeverity":"MEDIUM"},"exploitabilityScore":1.8,"impactScore":3.6},"baseMetricV2":{"cvssV2":{"version":"2.0","vectorString":"AV:L/AC:L/Au:N/C:N/I:N/A:P","accessVector":"LOCAL","accessComplexity":"LOW","authentication":"NONE","confidentialityImpact":"NONE","integrityImpact":"NONE","availabilityImpact":"PARTIAL","baseScore":2.1},"severity":"LOW","exploitabilityScore":3.9,"impactScore":2.9,"acInsufInfo":false,"obtainAllPrivilege":false,"obtainUserPrivilege":false,"obtainOtherPrivilege":false,"userInteractionRequired":false}},"configurations":{"CVE_data_version":"4.0","nodes":[{"operator":"OR","children":[],"cpe_match":[{"vulnerable":true,"cpe23Uri":"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*","versionStartIncluding":"2.4.0","versionEndExcluding":"2.4.2","cpe_name":[]},{"vulnerable":true,"cpe23Uri":"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*","versionStartIncluding":"2.3.0","versionEndExcluding":"2.3.3","cpe_name":[]},{"vulnerable":true,"cpe23Uri":"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*","versionStartIncluding":"2.2.0","versionEndExcluding":"2.2.3","cpe_name":[]},{"vulnerable":true,"cpe23Uri":"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*","versionEndExcluding":"2.1.4","cpe_name":[]}]}]}},"legacy_mitre":{"record":{"CveYear":"2021","CveId":"29548","Ordinal":"204752","Title":"CVE-2021-29548","CVE":"CVE-2021-29548","Year":"2021"},"notes":[{"CveYear":"2021","CveId":"29548","Ordinal":"1","NoteData":"TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization). 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.","Type":"Description","Title":null},{"CveYear":"2021","CveId":"29548","Ordinal":"2","NoteData":"2021-05-14","Type":"Other","Title":"Published"},{"CveYear":"2021","CveId":"29548","Ordinal":"3","NoteData":"2021-05-14","Type":"Other","Title":"Modified"}]}}}