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CVE-2025-49653VulnerabilityPublished Updated

CVE-2025-49653: Lablup BackendAI · Information Exposure

Affects Lablup BackendAISource CVE Database V5

0

Not known to be exploited · CVSS 8.0 High.

Data as of 26 Oct 2026, 08:30 UTC

CVSS 3.1 base score
8.0High
How severe the flaw is on the 0–10 CVSS scale.
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:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 9 Jun 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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

ProductAffectedFixed in
Lablup BackendAIAffected
  • *
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.

References

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