CVE-2024-8999: lunary-ai/lunary · Missing Authorization
Affects lunary-ai/lunarySource CVE Database V5
Not known to be exploited · CVSS 9.8 Critical · fixed in 1.4.26 : patch lunary-ai/lunary as a priority.
Data as of 26 Oct 2026, 10:12 UTC
- EPSS
- 0.8% chance of exploitation in 30 days – higher than 56% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 1.4.26
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 20 Mar 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
GitHublunary-ai/lunarypkg:github/lunary-ai/lunaryOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
- Immediately upgrade all lunary-ai/lunary deployments to version 1.4.26 or later, where the vulnerability is fixed.
- Restrict network access to the /api/v1/data-warehouse/bigquery endpoint using firewalls or API gateways to allow only trusted internal systems.
- Implement strong authentication and authorization controls on all API endpoints, especially those handling sensitive data exports.
- Monitor logs and network traffic for unusual or unauthorized BigQuery export attempts.
- Conduct a thorough audit of data access and export activities to detect any prior exploitation.
- Employ data loss prevention (DLP) solutions to detect and block unauthorized data exfiltration.
- Educate development and operations teams about secure API design and the importance of access control.
- If immediate patching is not possible, consider temporarily disabling the vulnerable endpoint or isolating the affected systems from untrusted networks.
Description
lunary-ai/lunary version v1.4.25 contains an improper access control vulnerability in the POST /api/v1/data-warehouse/bigquery endpoint. This vulnerability allows any user to export the entire database data by creating a stream to Google BigQuery without proper authentication or authorization. The issue is fixed in version 1.4.26.