CVE-2022-23571: Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can
Summary
TensorFlow (an open source machine learning framework) has a vulnerability where attackers can crash TensorFlow processes by sending specially crafted data with invalid tensor types or shapes during decoding from protobuf (a data format used to serialize structured data). This is a denial of service attack, meaning the attacker can make the system stop working rather than gain unauthorized access.
Solution / Mitigation
The fix will be included in TensorFlow 2.8.0. The vulnerability will also be patched in TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.
Vulnerability Details
6.5(medium)
EPSS: 0.1%
Classification
Affected Vendors
Related Issues
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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-2022-23571
First tracked: February 15, 2026 at 08:40 PM
Classified by LLM (prompt v3) · confidence: 95%