CVE-2023-30797
Assigner: VulnCheck
Published: 2023-04-19T19:10:12.523Z
State: PUBLISHED
affected: collectionURL: https://pypi.org/project/lemur/
defaultStatus: unaffected
packageName: lemur
product: Lemur
repo: https://github.com/Netflix/lemur
vendor: Netflix
versions: lessThan: <1.3.2
status: affected
version: 0
versionType: 1.3.2
datePublic: 2023-02-28T15:41:00.000Z
descriptions: supportingMedia: base64: no
type: text/html
value: <div><br></div><div>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.<br></div>
value: 

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.



impacts: capecId: CAPEC-112
descriptions: value: CAPEC-112 Brute Force
metrics: cvssV3_1: attackComplexity: LOW
attackVector: NETWORK
availabilityImpact: NONE
baseScore: 7.5
baseSeverity: HIGH
confidentialityImpact: HIGH
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
version: 3.1
format: CVSS
scenarios: value: GENERAL
problemTypes: descriptions: cweId: CWE-330
description: CWE-330 Use of Insufficiently Random Values
type: CWE
source: discovery: UNKNOWN
title: Insecure Random Generation in Netflix Lemur
x_generator: engine: Vulnogram 0.1.0-dev