Security advisory
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.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2019-6446
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 31 Oct 2026, 10:47 UTC · Revision 1
Source evidence
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.
osv:CVE-2019-6446
Complete source record
{
"id": "dfa2fbb69b63617eaec46c206cc90b6aaf0a82283bb6582914a1b9404798034b",
"url": "https://osv.dev/vulnerability/CVE-2019-6446",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "CVE-2019-6446",
"summary": "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.",
"evidence": "osv:CVE-2019-6446",
"products": [],
"severity": "critical",
"structured": {
"id": "CVE-2019-6446",
"aliases": [
"CVE-2019-6446",
"GHSA-9fq2-x9r6-wfmf",
"PYSEC-2019-108"
],
"metrics": [
{
"type": "CVSS_V3",
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
}
],
"affected": [
{
"ranges": [
{
"repo": "https://github.com/numpy/numpy",
"type": "GIT",
"events": [
{
"introduced": "0"
},
{
"last_affected": "971e2e89d08deeae0139d3011d15646fdac13c92"
},
{
"fixed": "89b688732b37616c9d26623f81aaee1703c30ffb"
}
],
"database_specific": {
"extracted_events": [
{
"cpe": "cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "0"
},
{
"last_affected": "1.16.0"
}
],
"source": "CPE_RANGE"
},
{
"range": [
{
"fixed": "89b688732b37616c9d26623f81aaee1703c30ffb"
}
],
"source": "REFERENCES_COMMIT"
}
]
}
}
],
"versions": [
"v1.16.0",
"v1.16.0rc2",
"v1.16.0rc1",
"pre-removal-numpybook",
"with_maskna",
"v0.3.0",
"v0.2.2"
],
"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2019-6446.json"
}
}
],
"modified": "2026-10-20T10:51:40.709469363Z",
"provider": "osv",
"references": [
"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/",
"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/",
"https://access.redhat.com/errata/RHSA-2019:3335",
"https://access.redhat.com/errata/RHSA-2019:3704",
"https://bugzilla.suse.com/show_bug.cgi?id=1122208",
"https://github.com/numpy/numpy/issues/12759",
"https://github.com/numpy/numpy/commit/89b688732b37616c9d26623f81aaee1703c30ffb",
"https://github.com/numpy/numpy/pull/12889",
"https://github.com/numpy/numpy/pull/13359"
],
"provider_metadata": {
"unresolved_ranges": [
{
"cpes": [
"cpe:2.3:o:fedoraproject:fedora:30:*:*:*:*:*:*:*"
],
"vendor_product": "fedoraproject:fedora",
"extracted_events": [
{
"range": [
{
"introduced": "30"
},
{
"last_affected": "30"
}
],
"source": "CPE_STRING"
}
]
}
]
}
},
"related_cves": [
{
"value": "CVE-2019-6446",
"evidence": "/id"
}
],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 382753,
"published_at": "2019-01-16T05:29:01.37+00:00"
}