{"id":"CVE-2022-41910","aliases":["GHSA-frqp-wp83-qggv","BIT-tensorflow-2022-41910","PYSEC-2026-992"],"title":"Heap overflow in `QuantizeAndDequantizeV2`","summary":"Heap overflow in `QuantizeAndDequantizeV2`","severity":"medium","cvss":4.8,"cvssVector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow < 2.8.4","tensorflow >= 2.9.0, < 2.9.3","tensorflow >= 2.10.0, < 2.10.1","tensorflow-cpu < 2.8.4","tensorflow-gpu < 2.8.4","tensorflow-cpu >= 2.9.0, < 2.9.3","tensorflow-gpu >= 2.9.0, < 2.9.3","tensorflow-cpu >= 2.10.0, < 2.10.1","tensorflow-gpu >= 2.10.0, < 2.10.1"],"patched":["tensorflow 2.8.4","tensorflow 2.9.3","tensorflow 2.10.1","tensorflow-cpu 2.8.4","tensorflow-gpu 2.8.4","tensorflow-cpu 2.9.3","tensorflow-gpu 2.9.3","tensorflow-cpu 2.10.1","tensorflow-gpu 2.10.1"],"published":"2022-11-21","updated":"2026-07-07","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-frqp-wp83-qggv","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2022-41910"},{"url":"https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7"},{"url":"https://github.com/tensorflow/tensorflow"},{"url":"https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221"}],"tags":["osv","pip"],"epss":0.00423,"epssPercentile":0.36232,"ingestedAt":"2026-07-08T18:25:49.122Z","slug":"CVE-2022-41910","body":"## Overview\n\n### 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\n\n## Affected packages\n\n- `tensorflow < 2.8.4`\n- `tensorflow >= 2.9.0, < 2.9.3`\n- `tensorflow >= 2.10.0, < 2.10.1`\n- `tensorflow-cpu < 2.8.4`\n- `tensorflow-gpu < 2.8.4`\n- `tensorflow-cpu >= 2.9.0, < 2.9.3`\n- `tensorflow-gpu >= 2.9.0, < 2.9.3`\n- `tensorflow-cpu >= 2.10.0, < 2.10.1`\n- `tensorflow-gpu >= 2.10.0, < 2.10.1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 2.8.4`\n- `tensorflow 2.9.3`\n- `tensorflow 2.10.1`\n- `tensorflow-cpu 2.8.4`\n- `tensorflow-gpu 2.8.4`\n- `tensorflow-cpu 2.9.3`\n- `tensorflow-gpu 2.9.3`\n- `tensorflow-cpu 2.10.1`\n- `tensorflow-gpu 2.10.1`","depth":"sunlit","depthScore":26,"depthScoreParts":{"impact":26.4,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}