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CVE-2023-30797

Good to know:

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Date: 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.

Language: Python

Severity Score

Related Resources (6)

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/commit/666d853212174ee7f4e6f8b3b4b389ede1872238
https://github.com/Netflix/security-bulletins/blob/master/advisories/nflx-2023-001.md
https://vulncheck.com/advisories/netflix-lemur-weak-rng
https://www.mend.io/vulnerability-database/CVE-2023-30797

Severity Score

Weakness Type (CWE)

Use of Insufficiently Random Values

CWE-330

Top Fix

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Upgrade to version lemur - 1.3.2

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CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): NONE
User Interaction (UI): NONE
Scope (S): UNCHANGED
Confidentiality (C): HIGH
Integrity (I): NONE
Availability (A): NONE

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