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Not in CISA KEV
LOW severity

GHSA-844w-j86r-4x2j

LOWFix: tensorflow/tensorflow@db4f971

GHSA-844w-j86r-4x2j is a low-severity (CVSS 2.6) CWE-122 vulnerability in tensorflow. O3 Security confirms whether GHSA-844w-j86r-4x2j is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

Heap buffer overflow in `UnsortedSegmentSum` in TensorFlow

Also known asCVE-2019-16778PYSEC-2019-209PYSEC-2019-227PYSEC-2019-234
Published
Dec 16, 2019
Updated
Jul 8, 2026
Affected
3 pkgs
Patched
3 / 3
Exploits
None indexed
Exploitation data as of Jul 8, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Real-World Exposure

3 pkgs affected
🐍tensorflow🐍tensorflow-cpu🐍tensorflow-gpu

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Impact

A heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory.

This is unlikely to be exploitable and was detected and fixed internally. We are making the security advisory only to notify users that it is better to update to TensorFlow 1.15 or 2.0 or later as these versions already have this fixed.

Patches

Patched by db4f9717c41bccc3ce10099ab61996b246099892 and released in all official releases after 1.15 and 2.0.

For more information

Please consult SECURITY.md for more information regarding the security model and how to contact us with issues and questions.

Affected Packages

3 total 3 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPItensorflowall versions1.15.0
🐍PyPItensorflow-cpuall versions1.15.0
🐍PyPItensorflow-gpuall versions1.15.0

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for tensorflow. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update tensorflow to 1.15.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-844w-j86r-4x2j is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-844w-j86r-4x2j is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-844w-j86r-4x2j. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact A heap buffer overflow in `UnsortedSegmentSum` can be produced when the `Index` template argument is `int32`. In this case `data_size` and `num_segments` fields are truncated from `int64` to `int32` and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally. We are making the security advisory only to notify users that it is better to update to TensorFlow 1.15 or 2.0 or later as these versions already have this fixed. ### Patches Patched by db4f9717c41bccc3ce10099ab61996b246099892 a
O3 Security · Impact-Aware SCA

Is GHSA-844w-j86r-4x2j in your dependencies?

O3 detects GHSA-844w-j86r-4x2j across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.