CVE-2020-15204: In eager mode, TensorFlow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 does not set the session state. Hence, c
Summary
In eager mode (a way TensorFlow runs code immediately instead of building a computation graph first), versions before 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1 fail to set up session state properly. This causes a null pointer dereference (trying to use a pointer that points to nothing), which crashes the program with a segmentation fault (a memory access error).
Solution / Mitigation
Update TensorFlow to version 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1 or later. The issue is patched in commit 9a133d73ae4b4664d22bd1aa6d654fec13c52ee1.
Vulnerability Details
5.3(medium)
EPSS: 0.2%
Classification
Taxonomy References
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-2020-15204
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%