{"api_version":"1","generated_at":"2026-07-24T18:34:17+00:00","cve":"CVE-2021-41202","urls":{"html":"https://cve.report/CVE-2021-41202","api":"https://cve.report/api/cve/CVE-2021-41202.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2021-41202","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2021-41202"},"summary":{"title":"CVE-2021-41202","description":"TensorFlow is an open source platform for machine learning. In affected versions while calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.","state":"PUBLIC","assigner":"security-advisories@github.com","published_at":"2021-11-05 22:15:00","updated_at":"2021-11-09 15:05:00"},"problem_types":["CWE-681"],"metrics":[],"references":[{"url":"https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94","name":"https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94","refsource":"MISC","tags":[],"title":"Merge pull request #51711 from yongtang:46899-tf.range · tensorflow/tensorflow@1b0e0ec · GitHub","mime":"text/html","httpstatus":"200","archivestatus":"404"},{"url":"https://github.com/tensorflow/tensorflow/issues/46912","name":"https://github.com/tensorflow/tensorflow/issues/46912","refsource":"MISC","tags":[],"title":"`tf.sparse.eye` crashes(aborts) when num_rows contains large number · Issue #46912 · tensorflow/tensorflow · GitHub","mime":"text/html","httpstatus":"200","archivestatus":"404"},{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrqm-fpgr-6hhx","name":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrqm-fpgr-6hhx","refsource":"CONFIRM","tags":[],"title":"Overflow/crash in `tf.range` · Advisory · tensorflow/tensorflow · GitHub","mime":"text/html","httpstatus":"200","archivestatus":"404"},{"url":"https://github.com/tensorflow/tensorflow/issues/46889","name":"https://github.com/tensorflow/tensorflow/issues/46889","refsource":"MISC","tags":[],"title":"tf.keras.backend.arange crash (abort) when start is large · Issue #46889 · tensorflow/tensorflow · GitHub","mime":"text/html","httpstatus":"200","archivestatus":"404"},{"url":"https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899","name":"https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899","refsource":"MISC","tags":[],"title":"Merge pull request #51359 from yongtang:46913-range-overflow · tensorflow/tensorflow@6d94002 · GitHub","mime":"text/html","httpstatus":"200","archivestatus":"404"},{"url":"https://www.cve.org/CVERecord?id=CVE-2021-41202","name":"CVE Program record","refsource":"CVE.ORG","tags":["canonical"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2021-41202","name":"NVD vulnerability detail","refsource":"NVD","tags":["canonical","analysis"]}],"affected":[],"timeline":[],"solutions":[],"workarounds":[],"exploits":[],"credits":[],"nvd_cpes":[{"cve_year":"2021","cve_id":"41202","vulnerable":"1","versionEndIncluding":"","cpe1":"cpe","cpe2":"2.3","cpe3":"a","cpe4":"google","cpe5":"tensorflow","cpe6":"*","cpe7":"*","cpe8":"*","cpe9":"*","cpe10":"*","cpe11":"*","cpe12":"*","cpe13":"*"},{"cve_year":"2021","cve_id":"41202","vulnerable":"1","versionEndIncluding":"","cpe1":"cpe","cpe2":"2.3","cpe3":"a","cpe4":"google","cpe5":"tensorflow","cpe6":"2.7.0","cpe7":"rc0","cpe8":"*","cpe9":"*","cpe10":"*","cpe11":"*","cpe12":"*","cpe13":"*"},{"cve_year":"2021","cve_id":"41202","vulnerable":"1","versionEndIncluding":"","cpe1":"cpe","cpe2":"2.3","cpe3":"a","cpe4":"google","cpe5":"tensorflow","cpe6":"2.7.0","cpe7":"rc1","cpe8":"*","cpe9":"*","cpe10":"*","cpe11":"*","cpe12":"*","cpe13":"*"}],"vendor_comments":[],"enrichments":{"kev":null,"epss":null,"legacy_qids":[{"cve":"CVE-2021-41202","qid":"980168","title":"Python (pip) Security Update for tensorflow-gpu (GHSA-xrqm-fpgr-6hhx)"}]},"source_records":{"cve_program":{"CVE_data_meta":{"ASSIGNER":"security-advisories@github.com","ID":"CVE-2021-41202","STATE":"PUBLIC","TITLE":"Overflow/crash in `tf.range`"},"affects":{"vendor":{"vendor_data":[{"product":{"product_data":[{"product_name":"tensorflow","version":{"version_data":[{"version_value":">= 2.6.0, < 2.6.1"},{"version_value":">= 2.5.0, < 2.5.2"},{"version_value":"< 2.4.4"}]}}]},"vendor_name":"tensorflow"}]}},"data_format":"MITRE","data_type":"CVE","data_version":"4.0","description":{"description_data":[{"lang":"eng","value":"TensorFlow is an open source platform for machine learning. In affected versions while calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range."}]},"impact":{"cvss":{"attackComplexity":"LOW","attackVector":"LOCAL","availabilityImpact":"HIGH","baseScore":5.5,"baseSeverity":"MEDIUM","confidentialityImpact":"NONE","integrityImpact":"NONE","privilegesRequired":"LOW","scope":"UNCHANGED","userInteraction":"NONE","vectorString":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","version":"3.1"}},"problemtype":{"problemtype_data":[{"description":[{"lang":"eng","value":"CWE-681: Incorrect Conversion between Numeric Types"}]}]},"references":{"reference_data":[{"name":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrqm-fpgr-6hhx","refsource":"CONFIRM","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrqm-fpgr-6hhx"},{"name":"https://github.com/tensorflow/tensorflow/issues/46889","refsource":"MISC","url":"https://github.com/tensorflow/tensorflow/issues/46889"},{"name":"https://github.com/tensorflow/tensorflow/issues/46912","refsource":"MISC","url":"https://github.com/tensorflow/tensorflow/issues/46912"},{"name":"https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94","refsource":"MISC","url":"https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94"},{"name":"https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899","refsource":"MISC","url":"https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899"}]},"source":{"advisory":"GHSA-xrqm-fpgr-6hhx","discovery":"UNKNOWN"}},"nvd":{"publishedDate":"2021-11-05 22:15:00","lastModifiedDate":"2021-11-09 15:05:00","problem_types":["CWE-681"],"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":"2.6.0","versionEndExcluding":"2.6.1","cpe_name":[]},{"vulnerable":true,"cpe23Uri":"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*","versionStartIncluding":"2.5.0","versionEndExcluding":"2.5.2","cpe_name":[]},{"vulnerable":true,"cpe23Uri":"cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:*","cpe_name":[]},{"vulnerable":true,"cpe23Uri":"cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:*","cpe_name":[]},{"vulnerable":true,"cpe23Uri":"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*","versionStartIncluding":"2.4.0","versionEndExcluding":"2.4.4","cpe_name":[]}]}]}},"legacy_mitre":{"record":{"CveYear":"2021","CveId":"41202","Ordinal":"216995","Title":"CVE-2021-41202","CVE":"CVE-2021-41202","Year":"2021"},"notes":[{"CveYear":"2021","CveId":"41202","Ordinal":"1","NoteData":"TensorFlow is an open source platform for machine learning. In affected versions while calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.","Type":"Description","Title":null},{"CveYear":"2021","CveId":"41202","Ordinal":"2","NoteData":"2021-11-05","Type":"Other","Title":"Published"},{"CveYear":"2021","CveId":"41202","Ordinal":"3","NoteData":"2021-11-05","Type":"Other","Title":"Modified"}]}}}