4 published AI models are associated with this package: 0 name it in a requirements or pyproject file, 4 load it or import it directly, and 0 are inferred from the runtime stack their declared library pulls in. Only 0 state a version requirement, so this is not a count of affected models.
cvss
9.8
critical
CVSS v3.1 base score out of 10
epss
5.4%
medium
chance of exploitation in 30 days, 93rd percentile of all CVEs
xyz score
6.1
medium
CyberXYZ composite out of 10
fig. 01 — GHSA-6757-jp84-gxfx, the advisory selected below
A vulnerability was discovered in the PyYAML library in versions before 5.3.1, where it is susceptible to arbitrary code execution when it processes untrusted YAML files through the full_load method or with the FullLoader loader. Applications that use the library to process untrusted input may be vulnerable to this flaw. An attacker could use this flaw to execute arbitrary code on the system by abusing the python/object/new constructor.
// cvss v3.1 vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
Checked 2026-11-06 at 21:15 UTC. The most recent advisory here was published 2021-04-20. Updated continuously from NVD, GHSA, OSV and CNA feeds.