CVE-2021-29553
Published May 14, 2021
Last updated 3 years ago
Overview
- Description
- TensorFlow is an end-to-end open source platform for machine learning. An attacker can read data outside of bounds of heap allocated buffer in `tf.raw_ops.QuantizeAndDequantizeV3`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/11ff7f80667e6490d7b5174aa6bf5e01886e770f/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L237) does not validate the value of user supplied `axis` attribute before using it to index in the array backing the `input` argument. 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.
- Source
- security-advisories@github.com
- NVD status
- Analyzed
Social media
- Hype score
- Not currently trending
Risk scores
CVSS 3.1
- Type
- Primary
- Base score
- 7.1
- Impact score
- 5.2
- Exploitability score
- 1.8
- Vector string
- CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
- Severity
- HIGH
CVSS 2.0
- Type
- Primary
- Base score
- 3.6
- Impact score
- 4.9
- Exploitability score
- 3.9
- Vector string
- AV:L/AC:L/Au:N/C:P/I:N/A:P
Weaknesses
- security-advisories@github.com
- CWE-125
Configurations
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