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CRITICAL severity

CVE-2019-10844 — nnabla

CRITICALFix: sony/nnabla#299

CVE-2019-10844 is a critical-severity (CVSS 9.8) vulnerability in nnabla. A fix is available for nnabla — see the affected versions and patch details below.

Sony Neural Network Libraries reliance on untrusted inputs prior to v1.0.10

Also known asGHSA-4q2w-rw7m-xqw6PYSEC-2019-107
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Nov 3, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
1.6%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs75th percentile — riskier than 75% of all scored CVEsHighest risk
0.00%0.68%1.37%2.05%0.4%1.6%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

1 pkg affected
🐍nnabla

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

nbla/logger.cpp in libnnabla.a in Sony Neural Network Libraries (aka nnabla) prior to v1.0.10 relies on the HOME environment variable, which might be untrusted.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPInnablaall versions1.0.10pip install --upgrade 'nnabla==1.0.10'

Affected Products

1 product · 1 configurations
Application
neural network librariessony
≤ 1.0.14
range

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for nnabla, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update nnabla to 1.0.10 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2019-10844 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.

Frequently Asked Questions

nbla/logger.cpp in libnnabla.a in Sony Neural Network Libraries (aka nnabla) prior to v1.0.10 relies on the HOME environment variable, which might be untrusted.
O3 Security · Impact-Aware SCA

Is CVE-2019-10844 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2019-10844: nnabla — Fixed in 1.0.10