CVE-2021-29553: TensorFlow is an end-to-end open source platform for machine learning. An attacker can read data outside of bounds of he
Summary
TensorFlow, an open-source machine learning platform, has a vulnerability in the `tf.raw_ops.QuantizeAndDequantizeV3` function where an attacker can read data outside the bounds of a heap allocated buffer (memory region used for dynamic storage) by exploiting an unvalidated `axis` attribute. The code fails to check the user-supplied `axis` value before using it to access array elements, potentially allowing unauthorized data access.
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. The vulnerability will also be patched in TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.
Vulnerability Details
2.5(low)
EPSS: 0.0%
Classification
Affected Vendors
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-29553
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%