Deserialization in Numpy
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 d…
Vulnerability class: Insecure Deserialization
EPSS: 0.171 (96.7th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 9.8 (Critical). Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.
Affected products
- Numpy
- Fedoraproject Fedora — versions 30
- N/a — versions n/a
Weakness classification (CWE)
Public proof-of-concept exploits
References
- cve@mitre.org (Exploit, Third Party Advisory, Issue Tracking)
- cve@mitre.org (VDB Entry, Third Party Advisory, vdb-entry)
- cve@mitre.org (Exploit, Third Party Advisory, Issue Tracking)
- cve@mitre.org (vendor-advisory)
- cve@mitre.org (vendor-advisory)
- cve@mitre.org (vendor-advisory)
- cve@mitre.org (vendor-advisory)
- cve@mitre.org (vendor-advisory)
- cve@mitre.org (vendor-advisory)
- cve@mitre.org
Frequently asked questions
- What is CVE-2019-6446?
- CVE-2019-6446 is a critical-severity vulnerability in Numpy, classified under Deserialization of Untrusted Data. CVSS score: 9.8/10. Published 2019-01-16.
- How severe is CVE-2019-6446?
- Critical severity. CVSS v3 base score is 9.8 out of 10.
- Is CVE-2019-6446 known to be exploited?
- 11 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.