Vulnerability DatabaseCVE-2023-30797
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CVE-2023-30797
April 19, 2023
Netflix Lemur before version 1.3.2 used insufficiently random values when generating default credentials. The insufficiently random values may allow an attacker to guess the credentials and gain access to resources managed by Lemur.
Affected Packages
lemur (PYTHON):
Affected version(s) >=0.2.1 <1.3.2
Fix Suggestion:
Update to version 1.3.2
Related Resources (8)
https://github.com/Netflix/security-bulletins/blob/master/advisories/nflx-2023-001.md
https://github.com/Netflix/lemur/commit/666d853212174ee7f4e6f8b3b4b389ede1872238
https://github.com/pypa/advisory-database/tree/main/vulns/lemur/PYSEC-2023-20.yaml
https://nvd.nist.gov/vuln/detail/CVE-2023-30797
https://github.com/Netflix/lemur/security/advisories/GHSA-5fqv-mpj8-h7gm
https://github.com/Netflix/lemur
https://vulncheck.com/advisories/netflix-lemur-weak-rng
https://github.com/Netflix/lemur/issues/3888
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CVSS v4
Base Score:
8.7
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
NONE
Vulnerable System Availability
NONE
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
7.5
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
NONE
Availability
NONE
Weakness Type (CWE)
Use of Insufficiently Random Values
CWE-330
EPSS
Base Score:
0.26