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VulnerabilityPublished Updated

CVE-2026-33879: londonaicentre FLIP · Improper Restriction of Excessive Authentication Attempts

Affects londonaicentre FLIPSource CVE Database V5

0
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Not known to be exploited · CVSS 2.7 Low.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 4.0 base score
2.7Low
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 20% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:U

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 27 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: 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 30 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
londonaicentreFLIPAffected
  • <=0.1.1
Fixed in–
GitHublondonaicentre/FLIPpkg:github/londonaicentre/FLIPOther threatsAffected
  • <=0.1.1
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Until a patch or official fix is available, organizations should consider implementing external mitigations such as web application firewalls with rate limiting rules or deploying CAPTCHA mechanisms on the login page if possible. Monitoring for unusual login activity may also help detect attempted abuse, but no vendor-provided mitigation is currently documented.

Description

Federated Learning and Interoperability Platform (FLIP) is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and credential-stuffing attacks. FLIP users are external to the organization, increasing credential reuse risk. As of time of publication, it is unclear if a patch is available.

References

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