CVE-2025-64717 (GCVE-0-2025-64717)
Vulnerability from cvelistv5 – Published: 2025-11-13 15:30 – Updated: 2025-11-13 17:09
VLAI
EPSS
VEX
Title
ZITADEL vulnerable to Account Takeover with deactivated Instance IdP
Summary
ZITADEL is an open source identity management platform. Starting in version 2.50.0 and prior to versions 2.71.19, 3.4.4, and 4.6.6, a vulnerability in ZITADEL's federation process allowed auto-linking users from external identity providers to existing users in ZITADEL even if the corresponding IdP was not active or if the organization did not allow federated authentication. This vulnerability stems from the platform's failure to correctly check or enforce an organization's specific security settings during the authentication flow. An Organization Administrator can explicitly disable an IdP or disallow federation, but this setting was not being honored during the auto-linking process. This allowed an unauthenticated attacker to initiate a login using an IdP that should have been disabled for that organization. The platform would incorrectly validate the login and, based on a matching criteria, link the attacker's external identity to an existing internal user account. This may result in a full Account Takeover, bypassing the organization's mandated security controls. Note that accounts with MFA enabled can not be taken over by this attack. Also note that only IdPs create on an instance level would allow this to work. IdPs registered on another organization would always be denied in the (auto-)linking process. Versions 4.6.6, 3.4.4, and 2.71.19 resolve the issue by correctly validating the organization's login policy before auto-linking an external user. No known workarounds are available aside from upgrading.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-13 17:08 UTC
CWE
- CWE-287 - Improper Authentication
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/zitadel/zitadel/security/advis… | x_refsource_CONFIRM |
| https://github.com/zitadel/zitadel/releases/tag/v… | x_refsource_MISC |
| https://github.com/zitadel/zitadel/releases/tag/v3.4.4 | x_refsource_MISC |
| https://github.com/zitadel/zitadel/releases/tag/v4.6.6 | x_refsource_MISC |
Impacted products
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Sightings
| Author | Source | Type | Date | Other |
|---|
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.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
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.