SOC status:Duty analyst on shift

UK Cyber Defence
VulnerabilityModified

CVE-2019-6446

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.

CRITICAL 9.8EPSS 27.3%

Does this matter?

EPSS puts the probability of exploitation in the next 30 days at 27.3%, higher than 98% of all known CVEs. Patch or mitigate before the next change window.

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.

CVSS 3.0
9.8 CRITICALCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS
27.27% probability · 98th percentile
Public exploits
None in Exploit-DB
CISA KEV
Not listed
Weakness
CWE-502
Affected
numpy/numpy · fedoraproject/fedora
Source
cve@mitre.org
EPSS trend
0%15%30%21 September 2026: 13.63%22 September 2026: 17.53%2 November 2026: 27.27%3 November 2026: 27.27%21 September 20263 November 2026

EPSS moved from 13.6% on 21 September 2026 to 27.3% on 3 November 2026. The dashed line is the ten per cent mark our analysts treat as “patch before the next change window”.

References

Source: NVD record, EPSS from FIRST.org, KEV from CISA, exploits from Exploit-DB. Refreshed daily. Download this record as JSON.