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.
CVE-2023-30797
This high-severity CVE scores 7.5 under NVD CVSS v3. EPSS exploit probability: 0.8%, top 48% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 7.5
- EG Score
- 7.5(medium)
- EG Risk
- 49(Track)EG Risk 49/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity75% × 45%Exploitation1% × 40%Automatability100% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 52.2%
- KEV
- Not listed
Published
April 19, 2023
Last Modified
July 15, 2026
Advisory Details (4)
Auto-updated Jul 15, 2026Insecure random generation in Netflix Lemur python app | Advisories | VulnCheck
https://vulncheck.com/advisories/netflix-lemur-weak-rngsecurity-bulletins/advisories/nflx-2023-001.md at master · Netflix/security-bulletins · GitHub
https://github.com/Netflix/security-bulletins/blob/master/advisories/nflx-2023-001.mdNFLX-2023-001 Insecure random generation · Advisory · Netflix/lemur · GitHub
https://github.com/Netflix/lemur/security/advisories/GHSA-5fqv-mpj8-h7gmcommit 666d85321217 (Netflix/lemur)
Patch available: Netflix/lemur v1.3.2 (contains commit 666d85321217)
https://github.com/Netflix/lemur/commit/666d853212174ee7f4e6f8b3b4b389ede1872238Affected Packages
(1 across 1 ecosystem)
PyPI(1)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| lemur | 0.11.0 ... 1.3.1 (9 versions) | 1.3.2 | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 14× in last 7d / 50× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
Showing the most recent 100 of 106 total refreshes for this CVE.
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Related CVEs(same CWE)
Same CWE
10 shownCWE-330
- CVE-2020-1472EG 10.0 KEVEPSS 100%CRITICAL
- CVE-2019-0007NVD 9.3EG 10.0CRITICAL
- CVE-2019-2317EG 9.8CRITICAL
- CVE-2019-16674EG 9.8CRITICAL
- CVE-2014-6311EG 9.8CRITICAL
- CVE-2019-2294EG 9.8CRITICAL
- CVE-2019-15130EG 9.8CRITICAL
- CVE-2019-7667EG 9.8EPSS 90%CRITICAL
- CVE-2019-9863EG 9.8CRITICAL
- CVE-2019-5420EG 9.8EPSS 100%CRITICAL
Frequently asked(5)
What is CVE-2023-30797?
When was CVE-2023-30797 disclosed?
Is CVE-2023-30797 actively exploited?
What is the CVSS score of CVE-2023-30797?
How do I remediate CVE-2023-30797?
Dependency Blast Radius
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