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Fencer Intel
critical 9.8

CVE-2019-10844 json

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

published 7y ago modified 4mo ago also GHSA-4q2w-rw7m-xqw6 , PYSEC-2019-107 , EUVD-2019-0092

cvss
9.8
version 3.0, NVD
cisa kev
Not listed
not in CISA's catalog
epss
1.6%
EPSS 1.6% chance of exploitation in 30 days, percentile 75%
public exploits
0
none known

Summary

nbla/logger.cpp in libnnabla.a in Sony Neural Network Libraries (aka nnabla) through v1.0.14 relies on the HOME environment variable, which might be untrusted.

Patch / fix

  • pypi nnabla 1.0.10, 1.0.15

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Exploit prediction

1.55% chance of exploitation in the next 30 days, higher than 75% of all scored CVEs (FIRST EPSS, 2026-11-09).

CVSS scores

assigned by version score vector
NVD 3.0 9.8 CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
NVD 2.0 7.5 AV:N/AC:L/Au:N/C:P/I:P/A:P
GitHub 3.0 9.8 CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Affected packages

ecosystem package affected fixed in
pypi nnabla
<1.0.10
<1.0.15
1.0.10
1.0.15

Classification

Weakness
  • CWE-807 Reliance on Untrusted Inputs in a Security Decision

References

Sources

Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.