THREATPORT/VULNERABILITY/CVE-2019-6446
CRITICAL SEVERITY

CVE-2019-6446

Numpy vulnerability

CVSS
9.8
EPSS
17.1%
EPSS pct
97th
Exploited
No known
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.
Affected vendor
Numpy
Affected product
Numpy
CVSS vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness type (CWE)
  • CWE-502 — Deserialization of Untrusted Data
Published
2019-01-16

Risk analysis

Based on its CVSS vector, this vulnerability is exploitable over the network, low attack complexity, requiring no privileges, no user interaction. Successful exploitation leads to high impact to confidentiality, high impact to integrity, high impact to availability.

Its EPSS score of 17.1% reflects a moderate probability of exploitation activity in the wild over the next 30 days, placing it above 97% of all scored CVEs.

Check your external exposure to CVE-2019-6446

  • Confirm whether Numpy Numpy is running on any internet-facing host or subdomain.
  • Match discovered service fingerprints against the version affected by CVE-2019-6446.
  • Prioritise remediation if the asset is public, business-critical, or near authentication/payment flows.

How ThreatPort helps with CVE-2019-6446

ThreatPort's external attack surface scanner checks your internet-facing assets — agentlessly, from the outside in — for the exposed services and versions that CVE-2019-6446 affects, then prioritises the finding by real risk using CISA KEV and FIRST.org EPSS.

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