{"id":"CVE-2022-41910","aliases":["BIT-tensorflow-2022-41910","EUVD-2022-7333","GHSA-frqp-wp83-qggv","PYSEC-2026-3178","PYSEC-2026-3323","PYSEC-2026-992"],"status":"published","title":"Heap out of bounds read in `QuantizeAndDequantizeV2` in Tensorflow","description":"TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.","severity":{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-10","score":0.00439,"percentile":0.38443,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-125"],"published":"2022-11-21T22:17:52Z","modified":"2026-10-28T10:30:52Z","fixes":[{"ecosystem":"PyPI","package":"tensorflow","fixed_in":["2.8.4","2.9.3","2.10.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-cpu","fixed_in":["2.8.4","2.9.3","2.10.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-gpu","fixed_in":["2.8.4","2.9.3","2.10.1"],"sources":["ghsa","osv"]},{"ecosystem":"Bitnami","package":"tensorflow","fixed_in":["2.8.4","2.9.3","2.10.1"],"sources":["osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.8.4"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.3"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.8.4"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.8.4"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.3"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.3"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}]},{"source":"osv","ecosystem":"Bitnami","package":"tensorflow","ranges":[{"type":"SEMVER","events":[{"introduced":"0"},{"fixed":"2.8.4"},{"introduced":"2.9.0"},{"fixed":"2.9.3"},{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.8.4"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.0rc0","2.6.0rc1","2.6.0rc2","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.0rc0","2.7.0rc1","2.7.1","2.7.2","2.7.3","2.7.4","2.8.0","2.8.0rc0","2.8.0rc1","2.8.1","2.8.2","2.8.3"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.3"}]}],"versions":["2.9.0","2.9.1","2.9.2"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}],"versions":["2.10.0"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.8.4"}]}],"versions":["1.15.0","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.1","2.7.2","2.7.3","2.7.4","2.8.0","2.8.1","2.8.2","2.8.3"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.8.4"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.0rc0","2.7.0rc1","2.7.1","2.7.2","2.7.3","2.7.4","2.8.0","2.8.0rc0","2.8.0rc1","2.8.1","2.8.2","2.8.3"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.3"}]}],"versions":["2.9.0","2.9.1","2.9.2"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.3"}]}],"versions":["2.9.0","2.9.1","2.9.2"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}],"versions":["2.10.0"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}],"versions":["2.10.0"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.8.4"},{"introduced":"2.9.0"},{"fixed":"2.9.3"},{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.10.0","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.0rc0","2.6.0rc1","2.6.0rc2","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.0rc0","2.7.0rc1","2.7.1","2.7.2","2.7.3","2.7.4","2.8.0","2.8.0rc0","2.8.0rc1","2.8.1","2.8.2","2.8.3","2.9.0","2.9.1","2.9.2"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.8.4"},{"introduced":"2.9.0"},{"fixed":"2.9.3"},{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}],"versions":["1.15.0","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.10.0","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.1","2.7.2","2.7.3","2.7.4","2.8.0","2.8.1","2.8.2","2.8.3","2.9.0","2.9.1","2.9.2"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.8.4"},{"introduced":"2.9.0"},{"fixed":"2.9.3"},{"introduced":"2.10.0"},{"fixed":"2.10.1"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.10.0","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.0rc0","2.7.0rc1","2.7.1","2.7.2","2.7.3","2.7.4","2.8.0","2.8.0rc0","2.8.0rc1","2.8.1","2.8.2","2.8.3","2.9.0","2.9.1","2.9.2"]}],"products":[{"vendor":"google","product":"tensorflow"},{"vendor":"tensorflow","product":"tensorflow"}],"references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv","tags":["x_transferred","Patch","Third Party Advisory","advisory","web"]},{"url":"https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7","tags":["x_transferred","Patch","Third Party Advisory","advisory","fix","web"]},{"url":"https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221","tags":["x_transferred","Third Party Advisory","advisory","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2022-41910","tags":["web","advisory"]},{"url":"https://github.com/advisories/GHSA-frqp-wp83-qggv","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/41xxx/CVE-2022-41910.json","tags":["advisory"]},{"url":"https://github.com/tensorflow/tensorflow","tags":["package"]},{"url":"https://pypi.org/project/tensorflow","tags":["package"]},{"url":"https://pypi.org/project/tensorflow-cpu","tags":["package"]},{"url":"https://pypi.org/project/tensorflow-gpu","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2022-41910","title":"Heap out of bounds read in `QuantizeAndDequantizeV2` in Tensorflow","description":"TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.","status":"published","published":"2022-12-06T00:00:00Z","modified":"2025-04-23T16:32:26.257Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium","assessor":"cna"}],"cwes":["CWE-125"],"updated_at":"2026-11-02T14:34:28.374916Z"}],"euvd":[{"id":"EUVD-2022-7333","description":"TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.","status":"published","published":"2022-12-06T00:00:00Z","modified":"2025-04-23T16:32:26Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-02T20:52:12.313971Z"}],"ghsa":[{"id":"GHSA-frqp-wp83-qggv","title":"Heap overflow in `QuantizeAndDequantizeV2`","description":"### Impact\nThe function [MakeGrapplerFunctionItem](https://https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221) takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.\n```python\nimport tensorflow as tf\n@tf.function\ndef test():\n    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],\n    \t\t\t\t\t\t\t\t   input_min=[1.0],\n    \t\t\t\t\t\t\t\t   input_max=[10.0],\n    \t\t\t\t\t\t\t\t   signed_input=True,\n    \t\t\t\t\t\t\t\t   num_bits=1,\n    \t\t\t\t\t\t\t\t   range_given=True,\n    \t\t\t\t\t\t\t\t   round_mode='HALF_TO_EVEN',\n    \t\t\t\t\t\t\t\t   narrow_range=True,\n    \t\t\t\t\t\t\t\t   axis=0x7fffffff)\ntest()\n```\n\n### Patches\nWe have patched the issue in GitHub commit [7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb](https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb).\n\nThe fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.\n\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n","status":"published","published":"2022-11-21T22:17:52Z","modified":"2023-02-01T05:03:22Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"cwes":["CWE-125"],"updated_at":"2026-11-02T14:36:31.364752Z"}],"nvd":[{"id":"CVE-2022-41910","description":"TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.","status":"published","published":"2022-12-06T22:15:10.587Z","modified":"2026-06-17T05:04:02.73Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium","assessor":"secondary"},{"version":"3.1","score":9.1,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H","level":"critical","assessor":"primary"}],"cwes":["CWE-125"],"updated_at":"2026-11-02T14:07:33.239526Z"}],"osv":[{"id":"CVE-2022-41910","title":"Heap out of bounds read in `QuantizeAndDequantizeV2` in Tensorflow","description":"TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.","status":"published","published":"2022-12-06T00:00:00Z","modified":"2026-10-28T10:30:52.086414641Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"cwes":["CWE-125"],"updated_at":"2026-11-02T15:44:27.186787Z"},{"id":"GHSA-frqp-wp83-qggv","title":"Heap overflow in `QuantizeAndDequantizeV2`","description":"### Impact\nThe function [MakeGrapplerFunctionItem](https://https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221) takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.\n```python\nimport tensorflow as tf\n@tf.function\ndef test():\n    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],\n    \t\t\t\t\t\t\t\t   input_min=[1.0],\n    \t\t\t\t\t\t\t\t   input_max=[10.0],\n    \t\t\t\t\t\t\t\t   signed_input=True,\n    \t\t\t\t\t\t\t\t   num_bits=1,\n    \t\t\t\t\t\t\t\t   range_given=True,\n    \t\t\t\t\t\t\t\t   round_mode='HALF_TO_EVEN',\n    \t\t\t\t\t\t\t\t   narrow_range=True,\n    \t\t\t\t\t\t\t\t   axis=0x7fffffff)\ntest()\n```\n\n### Patches\nWe have patched the issue in GitHub commit [7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb](https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb).\n\nThe fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.\n\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n","status":"published","published":"2022-11-21T22:17:52Z","modified":"2026-07-13T16:43:03.562106042Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"cwes":["CWE-125"],"updated_at":"2026-11-02T15:46:46.760785Z"},{"id":"PYSEC-2026-3178","title":"Heap overflow in `QuantizeAndDequantizeV2`","description":"### Impact\nThe function [MakeGrapplerFunctionItem](https://https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221) takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.\n```python\nimport tensorflow as tf\n@tf.function\ndef test():\n    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],\n    \t\t\t\t\t\t\t\t   input_min=[1.0],\n    \t\t\t\t\t\t\t\t   input_max=[10.0],\n    \t\t\t\t\t\t\t\t   signed_input=True,\n    \t\t\t\t\t\t\t\t   num_bits=1,\n    \t\t\t\t\t\t\t\t   range_given=True,\n    \t\t\t\t\t\t\t\t   round_mode='HALF_TO_EVEN',\n    \t\t\t\t\t\t\t\t   narrow_range=True,\n    \t\t\t\t\t\t\t\t   axis=0x7fffffff)\ntest()\n```\n\n### Patches\nWe have patched the issue in GitHub commit [7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb](https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb).\n\nThe fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.\n\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n","status":"published","published":"2026-07-13T14:19:56.101108Z","modified":"2026-07-13T16:43:03.562106042Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-02T15:52:56.429374Z"},{"id":"PYSEC-2026-3323","title":"Heap overflow in `QuantizeAndDequantizeV2`","description":"### Impact\nThe function [MakeGrapplerFunctionItem](https://https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221) takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.\n```python\nimport tensorflow as tf\n@tf.function\ndef test():\n    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],\n    \t\t\t\t\t\t\t\t   input_min=[1.0],\n    \t\t\t\t\t\t\t\t   input_max=[10.0],\n    \t\t\t\t\t\t\t\t   signed_input=True,\n    \t\t\t\t\t\t\t\t   num_bits=1,\n    \t\t\t\t\t\t\t\t   range_given=True,\n    \t\t\t\t\t\t\t\t   round_mode='HALF_TO_EVEN',\n    \t\t\t\t\t\t\t\t   narrow_range=True,\n    \t\t\t\t\t\t\t\t   axis=0x7fffffff)\ntest()\n```\n\n### Patches\nWe have patched the issue in GitHub commit [7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb](https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb).\n\nThe fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.\n\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n","status":"published","published":"2026-07-13T14:19:56.211286Z","modified":"2026-07-13T16:43:03.562106042Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-02T15:52:56.847083Z"},{"id":"PYSEC-2026-992","title":"Heap overflow in `QuantizeAndDequantizeV2`","description":"### Impact\nThe function [MakeGrapplerFunctionItem](https://https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221) takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.\n```python\nimport tensorflow as tf\n@tf.function\ndef test():\n    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],\n    \t\t\t\t\t\t\t\t   input_min=[1.0],\n    \t\t\t\t\t\t\t\t   input_max=[10.0],\n    \t\t\t\t\t\t\t\t   signed_input=True,\n    \t\t\t\t\t\t\t\t   num_bits=1,\n    \t\t\t\t\t\t\t\t   range_given=True,\n    \t\t\t\t\t\t\t\t   round_mode='HALF_TO_EVEN',\n    \t\t\t\t\t\t\t\t   narrow_range=True,\n    \t\t\t\t\t\t\t\t   axis=0x7fffffff)\ntest()\n```\n\n### Patches\nWe have patched the issue in GitHub commit [7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb](https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb).\n\nThe fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.\n\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n","status":"published","published":"2026-07-07T10:17:24.973568Z","modified":"2026-07-13T16:43:03.562106042Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-02T15:52:58.117212Z"},{"id":"BIT-tensorflow-2022-41910","title":"Heap out of bounds read in `QuantizeAndDequantizeV2` in Tensorflow","description":"TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.","status":"published","published":"2024-03-06T11:09:59.975Z","modified":"2026-09-08T08:48:20.506997762Z","updated_at":"2026-11-02T15:28:36.104787Z"}]}}