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Public proof of conceptFix available

CVE-2019-6446

A public proof of concept exists; no exploitation attested.

  • Published2019-01-16
  • Fixed in1.16.3 · 1.16.1
  • WeaknessCWE-502

Am I affected?

With a domain, we read the version its public headers and pages expose. A distribution build can carry the fix under an older number.

Description

An issue was discovered in NumPy before 1.16.3. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.

Timeline

dates in UTC
  1. 2019-01-1605:29CVE publishedNVD

Observed activity

isMalicious corpus · updated 2026-11-03 21:37 UTC
Indicators tagged with this CVE, per day0 indicators over 7 days
Block these indicators
  • Firewall list (EDL, text): https://api.ismalicious.com/edl/cve/CVE-2019-6446?format=txt
  • CSV export: https://api.ismalicious.com/edl/cve/CVE-2019-6446?format=csv
  • TAXII collection of exploited CVEs
  • The EDL and CSV take an API key on the Pro plan.

Versions per branch

OSV · NVD
numpy
BranchAffectedFixed in
1.16< 1.16.31.16.3
1.16< 1.16.11.16.1
Numpy
BranchAffectedFixed in
1.16≤ 1.16.0no fix published
Fedoraproject fedora
BranchAffectedFixed in
30.x= 30no fix published

as publishedRanges as NVD and OSV publish them; a distribution’s build can be fixed under an older number.

Distribution builds and vendor advisories

Packages from OSV.dev and products from the vendors' CSAF advisories.

version not verifiedVersions not verified: read as OSV.dev and the vendors publish them, not checked against each vendor's release list.

Packages

  • babelRocky Linux:8all versions · fixed in 0:2.5.1-9.module+el8.4.0+403+9ae17a31
  • babelRed Hat:enterprise_linux:8::appstreamall versions · fixed in 0:2.5.1-9.module+el8.1.0+3111+de3f2d8eand 1 other package
  • CythonRocky Linux:8all versions · fixed in 0:0.28.1-7.module+el8.4.0+403+9ae17a31
  • CythonRocky Linux:8all versions · fixed in 0:0.28.1-7.module+el8.5.0+706+735ec4b3
  • CythonRed Hat:enterprise_linux:8::appstreamall versions · fixed in 0:0.28.1-7.module+el8.1.0+3111+de3f2d8eand 3 other packages
  • numpyTuxCare:PyPIfrom 1.15.4 · fixed in 1.15.4.post1+tuxcare
  • numpyTuxCare:PyPIfrom 1.16.0 · fixed in 1.16.0.post1+tuxcare
  • numpyRocky Linux:8all versions · fixed in 1:1.14.3-9.el8

138 more package ranges on OSV.dev

Vendor advisories

  • CVE-2019-6446 Red Hat Product Security281 products fixed · 17 known affected

    numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution

    numpy.src as a component of Red Hat Ceph Storage 4 · numpy.src as a component of Red Hat Enterprise Linux 6 · numpy-f2py as a component of Red Hat Enterprise Linux 7 · +14 more

  • RHSA-2019:3704 Red Hat Product Security17 products fixed

    Red Hat Security Advisory: numpy security update

  • RHSA-2019:3335 Red Hat Product Security264 products fixed

    Red Hat Security Advisory: python27:2.7 security and bug fix update

Full record on NVD

Fix

  1. Update numpy to 1.16.3 · 1.16.1
  2. Vendor fix Red Hat Product Security RHSA-2019:3704 · 17 productsFor details on how to apply this update, which includes the changes described in this advisory, refer to: https://access.redhat.com/articles/11258
  3. No fix available, says the vendor Red Hat Product Security CVE-2019-6446 · 1 productAffected
  4. No fix planned, says the vendor Red Hat Product Security CVE-2019-6446 · 16 productsWill not fix

Detection

read 2026-11-02 22:42 UTC
Nuclei template
none so far
ProjectDiscovery
Exploit-DB
no entry
Exploit-DB
Proof-of-concept repositories
1 repository, unverifiedRayScri/CVE-2019-6446
PoC-in-GitHub
Metasploit modules
none listed
Metasploit Framework

Sources

Identifiers

Technical details

CVSS v3 Vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Published
2019-01-16
Last Modified
2026-06-17
NVD status
Modified
GitHub Advisory
GHSA-9fq2-x9r6-wfmf

Frequently asked questions

What is CVE-2019-6446?

An issue was discovered in NumPy before 1.16.3. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.

Is CVE-2019-6446 actively exploited?

Active exploitation of CVE-2019-6446 has not been confirmed. Its EPSS score was 27.3% on 2026-11-03, the estimated probability of exploitation in the next 30 days.

What is the CVSS score for CVE-2019-6446?

CVE-2019-6446 has a CVSS v3 base score of 9.8 (CRITICAL severity), with vector string CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.

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