7.5

CVE-2023-30797: netflix lemur Use of Insufficiently Random Values

CVSS: 7.5v3.1HighModified
AliasesGHSA-5fqv-mpj8-h7gmPYSEC-2023-20
Published 19-04-2023Last modified 15-07-2026
Open JSON

Vulnerability summary

CVE-2023-30797 is a high (CVSS 7.5) Use of Insufficiently Random Values vulnerability in netflix lemur. EPSS estimates a 0.79% chance of exploitation in the next 30 days, higher than 55.4% of scored vulnerabilities.

Overall risk
30/100
0100
Medium · default modelHow is this calculated?
CVSS score
7.5/10
010
High · v3.1 (CVE.org)
EPSS score
0.79%
0%100%
Low · 0.00 pp in 30 days
KEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits0No public exploits recorded

Timeline

  1. 19-04-2023
    PublishedVulnerability first disclosed.
  2. 15-07-2026
    Last modifiedVulnerability information updated.

Description

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.

CVSS metrics

4 scores · 3 sources · 2 versions

EPSS trend

Probability

0.79%

Chance of exploitation in the next 30 days

Percentile

55%

Versus all other CVEs

30-day change

0.00 pp

From 0.79% on 18-09-2026

18-09-202618-10-2026
EPSS score
0.79%

Known exploited

Compare KEV catalogs

Not in any of the 3 tracked catalogs.

Public exploits

0 found

No public exploits indexed.

Weaknesses

CWE · root cause

Affected systems

Netflix1 product
PyPI1 product
  • lemur< 666d853212174ee7f4e6f8b3b4b389ede1872238 | < 1.3.2

2 vendors · 2 products

References

8 links