CVE-2025-49653: Lablup BackendAI · Information Exposure
Affects Lablup BackendAISource CVE Database V5
Not known to be exploited · CVSS 8.0 High.
Data as of 26 Oct 2026, 06:26 UTC
- EPSS
- 0.3% chance of exploitation in 30 days – higher than 28% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 9 Jun 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 2026-10-26.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Lablup BackendAI | Affected
| Fixed in– |
AI-suggested
2) Implement strict access controls and network segmentation to limit access to the BackendAI management platform, ensuring only trusted administrators with minimal necessary privileges can reach it. 3) Employ multi-factor authentication (MFA) for all management platform accounts to reduce the risk of credential misuse. 4) Monitor active sessions and audit logs for unusual access patterns or credential usage anomalies, enabling early detection of potential exploitation. 5) Use encryption for session data and credentials both at rest and in transit to reduce exposure risk. 6) Conduct regular security assessments and penetration testing focusing on AI infrastructure components. 7) Educate privileged users about the risks of credential exposure and enforce strong password policies. These measures, combined with vendor updates, will help reduce the likelihood and impact of exploitation.
Description
Exposure of sensitive data in active sessions in Lablup's BackendAI allows attackers to retrieve credentials for users on the management platform.