CVE-2021-29544: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a
Summary
TensorFlow has a vulnerability where an attacker can crash the system (a denial of service, or DoS attack) by sending specially crafted data to a specific function called `tf.raw_ops.QuantizeAndDequantizeV4Grad`. The bug happens because the function doesn't check that its input data (called tensors, which are multi-dimensional arrays) has the correct structure, causing the program to fail when it tries to process them.
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. The fix will also be applied to TensorFlow 2.4.2, which is the only other affected version.
Vulnerability Details
2.5(low)
EPSS: 0.1%
Classification
Taxonomy References
Affected Vendors
Related Issues
CVE-2022-29200: TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implem
CVE-2021-29541: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null p
Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-29544
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%