CVE-2022-29192: 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
Summary
TensorFlow, an open source machine learning platform, had a vulnerability in the `tf.raw_ops.QuantizeAndDequantizeV4Grad` function where it did not fully validate input arguments before processing them. This bug could crash the system (a denial of service attack, where an attacker makes a service unavailable) in versions before 2.9.0, 2.8.1, 2.7.2, and 2.6.4.
Solution / Mitigation
Update TensorFlow to one of the patched versions: 2.9.0, 2.8.1, 2.7.2, or 2.6.4. A patch is available at https://github.com/tensorflow/tensorflow/commit/098e7762d909bac47ce1dbabe6dfd06294cb9d58.
Vulnerability Details
5.5(medium)
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-2022-29192
First tracked: February 15, 2026 at 08:40 PM
Classified by LLM (prompt v3) · confidence: 95%