CVE-2025-59719 (GCVE-0-2025-59719)
Vulnerability from cvelistv5 – Published: 2025-12-09 17:20 – Updated: 2026-08-11 12:23Summary
An improper verification of cryptographic signature vulnerability in Fortinet FortiWeb 8.0.0, FortiWeb 7.6.0 through 7.6.4, FortiWeb 7.4.0 through 7.4.9 may allow an unauthenticated attacker to bypass the FortiCloud SSO login authentication via a crafted SAML response message.
Severity
9.1 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-10 04:57 UTC
CWE
- CWE-347 - Improper access control
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Fortinet | FortiWeb |
Affected:
8.0.0
Affected: 7.6.0 , ≤ 7.6.4 (semver) Affected: 7.4.0 , ≤ 7.4.9 (semver) cpe:2.3:a:fortinet:fortiweb:8.0.0:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.6.4:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.6.3:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.6.2:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.6.1:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.6.0:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.9:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.8:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.7:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.6:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.5:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.4:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.3:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.2:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.1:*:*:*:*:*:*:* cpe:2.3:a:fortinet:fortiweb:7.4.0:*:*:*:*:*:*:* |
||
| Siemens | RUGGEDCOM APE1808 |
Affected:
0 , < *
(custom)
|
guessed |
ENISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 9627e455-2d52-4f7e-b440-d05cb7913549
Exploited: Yes
Timestamps
First Seen: 2026-01-27
Asserted: 2026-01-27
Scope
Notes: Affected: Fortinet / Fortiweb | Description: An improper verification of cryptographic signature vulnerability in Fortinet FortiWeb may allow an unauthenticated attacker to bypass the FortiCloud SSO login authentication via a crafted SAML response message. | Threat actors: unknown | Origin source: CERT-AT | Notes: https://www.cert.at/en/blog/2026/1/threat-actors-use-forticloud-to-collect-ldap-connection-passwords, https://www.cert.at/en/blog/2026/1/look-at-forticloud-sso-bypass-exploitation
Evidence
Type: Csirt Report
Signal: Successful Exploitation
Confidence: 75%
Source: enisa-cnw-kev
Details
| Cwes | - |
|---|---|
| Euvd | EUVD-2025-202191 |
| Notes | https://www.cert.at/en/blog/2026/1/threat-actors-use-forticloud-to-collect-ldap-connection-passwords, https://www.cert.at/en/blog/2026/1/look-at-forticloud-sso-bypass-exploitation |
| Catalog | ENISA / EU CSIRTs Network (CNW) KEV JSON |
| Product | Fortiweb |
| Datereported | 2026/01/27 |
| Originsource | CERT-AT |
| Vendorproject | Fortinet |
| Exploitationtype | - |
| Vulnerabilityname | - |
| Threatactorsexploiting | unknown |
References
Created: 2026-06-05 16:59 UTC
| Updated: 2026-06-05 16:59 UTC
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"value": "Upgrade to FortiSwitchManager version 7.2.7 or above\nUpgrade to FortiSwitchManager version 7.0.6 or above\nUpgrade to FortiProxy version 7.6.4 or above\nUpgrade to FortiProxy version 7.4.11 or above\nUpgrade to FortiProxy version 7.2.15 or above\nUpgrade to FortiProxy version 7.0.22 or above\nUpgrade to FortiOS version 7.6.4 or above\nUpgrade to FortiOS version 7.4.9 or above\nUpgrade to FortiOS version 7.2.12 or above\nUpgrade to FortiOS version 7.0.18 or above\nUpgrade to FortiWeb version 8.0.1 or above\nUpgrade to FortiWeb version 7.6.5 or above\nUpgrade to FortiWeb version 7.4.10 or above\nFortinet remediated this issue in FortiSASE version 25.3.b and hence customers do not need to perform any action.\nUpgrade to FortiPAM version 1.8.0 or above"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "6abe59d8-c742-4dff-8ce8-9b0ca1073da8",
"assignerShortName": "fortinet",
"cveId": "CVE-2025-59719",
"datePublished": "2025-12-09T17:20:11.763Z",
"dateReserved": "2025-09-19T04:30:39.464Z",
"dateUpdated": "2026-08-11T12:23:15.462Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
| 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.
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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.
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