TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB read on heap in the TFLite implementation of `Split_V`(https://github.com/tensorflow/tensorflow/blob/c59c37e7b2d563967da813fa50fe20b21f4da683/tensorflow/lite/kernels/split_v.cc#L99). If `axis_value` is not a value between 0 and `NumDimensions(input)`, then the `SizeOfDimension` function(https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/kernel_util.h#L148-L150) will access data outside the bounds of the tensor shape array. 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.
References
Link | Resource |
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https://github.com/tensorflow/tensorflow/commit/ae2daeb45abfe2c6dda539cf8d0d6f653d3ef412 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h4pc-gx2w-f2xv | Exploit Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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History
No history.
Information
Published : 2021-05-14 20:15
Updated : 2021-05-18 15:06
NVD link : CVE-2021-29606
Mitre link : CVE-2021-29606
CVE.ORG link : CVE-2021-29606
JSON object : View
Products Affected
- tensorflow
CWE
CWE-125
Out-of-bounds Read