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High, CVSS 8.7amended

Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow

CVE-2018-8825GHSA-frxx-2m33-6wcr

What to do

Vendor fix available. Upgrade each affected package to the fixed version on its release line (tensorflow 1.7.1; tensorflow-gpu 1.7.1; tensorflow-cpu 1.7.1), redeploy, then verify what is actually installed.

This page has no inventory attached, so it cannot say whether you are affected. A vendor fix is not proof that your deployment is fixed.

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Affected packages

Sources

Severity and exploitation
Exploitation
No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.
CVSS 4.0
8.7 · CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N · score source
EPSS
  • CVE-2018-8825: 0.74% estimated exploitation activity in the next 30 days; percentile 54.79 (FIRST EPSS, 2026-11-03). This is a model estimate, not proof of exploitation or customer exposure.
Source description

As published by the source; long descriptions are shortened.

Google TensorFlow 1.7 and below is affected by: Buffer Overflow. The impact is: execute arbitrary code (local). Users passing a malformed or malicious version of a TFLite graph into TOCO will cause TOCO to crash or cause a buffer overflow, potentially allowing malicious code to be executed.

Dates and revisions
Published by the source
Last modified by the source
Source last checked
  1. Revision 4 · amended ·

    Amended from ghsa record GHSA-frxx-2m33-6wcr

  2. Revision 3 · amended ·

    Reviewed OSV alias/range/CVSS4 correction; package source scopes and original publication preserved. No customer finding resolved.

  3. Revision 2 · amended ·

    Amended from osv record PYSEC-2019-226

  4. Revision 1 · created ·

    Published from osv record GHSA-frxx-2m33-6wcr

Agent brief

Preview the exact text before you copy it. Commands are read-only suggestions; review them before running anything.

# Patch Next advisory brief: CVE-2018-8825

Advisory: Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow
IDs: CVE-2018-8825, GHSA-frxx-2m33-6wcr
Record: https://patchnext.com/advisories/cve-2018-8825 (revision 4, source checked 26 Oct 2026, 13:25 UTC)
Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected.
Severity: High (CVSS 8.7)
Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV.
Vendor response: Vendor fix available; fixed versions by package: tensorflow 1.7.1; tensorflow-gpu 1.7.1; tensorflow-cpu 1.7.1. A vendor fix does not mean a deployment is fixed.

## Affected components
- PyPI tensorflow: affected >= 1.5.0, < 1.7.1; fixed in 1.7.1
- PyPI tensorflow-gpu: affected >= 1.5.0, < 1.7.1; fixed in 1.7.1
- PyPI tensorflow-cpu: affected < 1.7.1; fixed in 1.7.1

## Suggested inspection (read-only)
- `python -m pip show tensorflow`: prints the installed version. Run with the environment that serves production active.
- `python -m pip show tensorflow-gpu`: prints the installed version. Run with the environment that serves production active.
- `python -m pip show tensorflow-cpu`: prints the installed version. Run with the environment that serves production active.

## Supported action
Upgrade each affected component to a fixed version on its release line. For a transitive dependency, upgrade the parent package or add an override or constraint, then regenerate the lockfile. Redeploy every environment that ran an affected version.

## Required regression checks
- Run the test suite and a production build.
- Exercise the features that depend on tensorflow, tensorflow-gpu, tensorflow-cpu.
- Repeat the inspection and confirm that only fixed versions remain installed.

## Rollback considerations
- Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward.

## Unresolved questions
- Which deployments run an affected version?
- Exploitation status can change. Check again before lowering the priority.
- Mark the work resolved only after the fixed version is verified in production.

## Sources
- Verified: https://osv.dev/vulnerability/GHSA-frxx-2m33-6wcr (OSV record GHSA-frxx-2m33-6wcr lists affected ranges: PyPI tensorflow >=1.5.0 =1.5.0 <1.7.1 (fixed))
- Verified: https://osv.dev/vulnerability/PYSEC-2019-226 (OSV record PYSEC-2019-226 lists affected ranges: PyPI tensorflow-cpu >=0 <1.7.1 (fixed))
- Verified: https://github.com/advisories/GHSA-frxx-2m33-6wcr (GitHub-reviewed advisory GHSA-frxx-2m33-6wcr lists affected ranges: PyPI tensorflow >=1.5.0 =1.5.0 <1.7.1)

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