What’s Vulnerable › Vulnerabilities

CVE-2022-21730: Out of bounds read in Tensorflow

• Severity: high (CVSS 8.1 v3.1)
• Exploited in the wild: not listed in CISA KEV
• EPSS: 0.8% probability of exploitation in the next 30 days
• Public exploit or detection template: yes
• Published: 2022-02-03 · updated 2026-06-17
• Weakness: CWE-125

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected products

• tensorflow: through 2.5.2; from 2.6.0 through 2.6.2; 2.7.0

References

• https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360
• https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4
• https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360
• https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4

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