{"id":"CVE-2020-15212","aliases":["GHSA-hx2x-85gr-wrpq","BIT-tensorflow-2020-15212","PYSEC-2020-135","PYSEC-2020-292","PYSEC-2020-327"],"title":"Out of bounds access in tensorflow-lite","summary":"Out of bounds access in tensorflow-lite","severity":"high","cvss":8.1,"cvssVector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:H","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow >= 2.2.0, < 2.2.1","tensorflow >= 2.3.0, < 2.3.1","tensorflow-cpu >= 2.2.0, < 2.2.1","tensorflow-cpu >= 2.3.0, < 2.3.1","tensorflow-gpu >= 2.2.0, < 2.2.1","tensorflow-gpu >= 2.3.0, < 2.3.1"],"patched":["tensorflow 2.2.1","tensorflow 2.3.1","tensorflow-cpu 2.2.1","tensorflow-cpu 2.3.1","tensorflow-gpu 2.2.1","tensorflow-gpu 2.3.1"],"published":"2020-09-25","updated":"2026-07-08","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-hx2x-85gr-wrpq","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hx2x-85gr-wrpq"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2020-15212"},{"url":"https://github.com/tensorflow/tensorflow/commit/00c7ed7ce81c2126ebc17dfe7073b5c0efd5ec0a"},{"url":"https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a"},{"url":"https://github.com/tensorflow/tensorflow/commit/a4030d8ba3692c438997c27be2dd95f3d5f54827"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-292.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-327.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-135.yaml"},{"url":"https://github.com/tensorflow/tensorflow"},{"url":"https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/reference/reference_ops.h#L2625-L2631"},{"url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"}],"tags":["osv","pip"],"epss":0.00737,"epssPercentile":0.52585,"ingestedAt":"2026-07-08T18:25:50.339Z","slug":"CVE-2020-15212","body":"## Overview\n\n### Impact\nIn TensorFlow Lite models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor:\nhttps://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/reference/reference_ops.h#L2625-L2631\n\nUsers having access to `segment_ids_data` can alter `output_index` and then write to outside of `output_data` buffer.\n\nThis might result in a segmentation fault but it can also be used to further corrupt the memory and can be chained with other vulnerabilities to create more advanced exploits.\n\n### Patches\nWe have patched the issue in 204945b and will release patch releases for all affected versions.\n\nWe recommend users to upgrade to TensorFlow 2.2.1, or 2.3.1.\n\n### Workarounds\nA potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are all positive, although this only handles the case when the segment ids are stored statically in the model.\n\nA similar validation could be done if the segment ids are generated at runtime between inference steps.\n\nIf the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been discovered from a variant analysis of [GHSA-p2cq-cprg-frvm](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p2cq-cprg-frvm).\n\n## Affected packages\n\n- `tensorflow >= 2.2.0, < 2.2.1`\n- `tensorflow >= 2.3.0, < 2.3.1`\n- `tensorflow-cpu >= 2.2.0, < 2.2.1`\n- `tensorflow-cpu >= 2.3.0, < 2.3.1`\n- `tensorflow-gpu >= 2.2.0, < 2.2.1`\n- `tensorflow-gpu >= 2.3.0, < 2.3.1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 2.2.1`\n- `tensorflow 2.3.1`\n- `tensorflow-cpu 2.2.1`\n- `tensorflow-cpu 2.3.1`\n- `tensorflow-gpu 2.2.1`\n- `tensorflow-gpu 2.3.1`","depth":"twilight","depthScore":45,"depthScoreParts":{"impact":44.6,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}