{"api_version":"1","generated_at":"2026-07-14T11:26:06+00:00","cve":"CVE-2020-15210","urls":{"html":"https://cve.report/CVE-2020-15210","api":"https://cve.report/api/cve/CVE-2020-15210.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2020-15210","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2020-15210"},"summary":{"title":"CVE-2020-15210","description":"In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. 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