CVE-2026-100607 (GCVE-0-2026-100607)

Vulnerability from cvelistv5 – Published: 2026-09-26 13:22 – Updated: 2026-09-26 13:22
VLAI
Title
Flowise through 3.1.4 Authentication Bypass via Email-Only SSO
Summary
Flowise through 3.1.4 resolves SSO and local-password users solely by email without storing provider or subject identifier bindings, allowing attackers to authenticate as any existing user by claiming their email at any configured SSO provider. Attackers can gain complete account access including chatflows, credentials, and API keys by authenticating through a different SSO provider or local password than the victim's original registration method.
Severity
9.2 (Critical)
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N
7.7 (High)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:L
CWE
  • CWE-287 - Improper Authentication
Assigner
References
Impacted products
Vendor Product Version CPE status
FlowiseAI Flowise Affected: 0 , ≤ 3.1.4 (semver)
    cpe:2.3:a:flowiseai:flowise:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-09-10 00:00
Credits
amwhoi
Show details on NVD website
To clipboard 

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                "modifiedAttackVector": "NOT_DEFINED",
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                "modifiedSubAvailabilityImpact": "NOT_DEFINED",
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                "modifiedSubIntegrityImpact": "NOT_DEFINED",
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                "privilegesRequired": "NONE",
                "providerUrgency": "NOT_DEFINED",
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}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.