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CVE-2025-49651VulnerabilityPublished Updated

CVE-2025-49651: Lablup BackendAI · Missing Authorization

Affects Lablup BackendAISource CVE Database V5

0

Not known to be exploited · CVSS 8.1 High.

Data as of 26 Oct 2026, 07:57 UTC

CVSS 3.1 base score
8.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 26% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/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 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
Lablup BackendAIAffected
  • *
Fixed in–

AI-suggested

Immediate mitigation steps include implementing strict network access controls to restrict BackendAI backend access to trusted IP ranges and internal networks only. Organizations should monitor active sessions closely for unusual activity and consider session invalidation or forced logout mechanisms where possible. Deploying Web Application Firewalls (WAFs) with custom rules to detect and block suspicious requests targeting BackendAI endpoints can provide temporary protection. Since no official patches are available yet, organizations should engage with Lablup for timelines on fixes and consider applying any recommended configuration changes or workarounds. Additionally, segregating BackendAI environments and limiting user privileges can reduce the blast radius of a potential exploit. Logging and alerting on session management anomalies will help in early detection of exploitation attempts. Finally, organizations should prepare incident response plans specific to session hijacking scenarios and educate users about the risks.

Description

Missing Authorization in Lablup's BackendAI allows attackers to takeover all active sessions; Accessing, stealing, or altering any data accessible in the session. This vulnerability exists in all current versions of BackendAI.

References

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