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Vulnerability details: VCID-3r8v-c8cq-dkfp
Vulnerability ID VCID-3r8v-c8cq-dkfp
Aliases CVE-2020-15206
GHSA-w5gh-2wr2-pm6g
PYSEC-2020-129
PYSEC-2020-286
PYSEC-2020-321
Summary In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Status Published
Exploitability None
Weighted Severity None
Risk None
Affected and Fixed Packages Package Details
Weaknesses (1)
No exploits are available.
Exploit Prediction Scoring System (EPSS)
Percentile 0.64993
EPSS Score 0.00472
Published At May 30, 2026, 12:55 p.m.
Date Actor Action Source VulnerableCode Version
2026-05-30T20:19:43.478442+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2020-321.yaml 38.6.0