CVE-2018-13374 (GCVE-0-2018-13374)
Vulnerability from cvelistv5 – Published: 2019-01-22 14:00 – Updated: 2026-10-01 18:32Summary
A Improper Access Control in Fortinet FortiOS 6.0.2, 5.6.7 and before, FortiADC 6.1.0, 6.0.0 to 6.0.1, 5.4.0 to 5.4.4 allows attacker to obtain the LDAP server login credentials configured in FortiGate via pointing a LDAP server connectivity test request to a rogue LDAP server instead of the configured one.
Severity
4.3 (Medium)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-13 03:55 UTC
CWE
- Improper Access Control
- CWE-732 - Incorrect Permission Assignment for Critical Resource
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://fortiguard.com/advisory/FG-IR-18-157 | x_refsource_CONFIRM |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Fortinet | Fortinet FortiOS, fortiADC |
Affected:
FortiOS 6.0.2, 5.6.7 and before, FortiADC 6.1.0, 6.0.0 to 6.0.1, 5.4.0 to 5.4.4
|
Date Public
2019-01-22 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: f222221d-2775-43c2-bb01-e488d2630509
Exploited: Yes
Timestamps
First Seen: 2022-09-08
Asserted: 2022-09-08
Scope
Notes: Fortinet FortiOS and FortiADC Improper Access Control Vulnerability | Affected: Fortinet / FortiOS and FortiADC | Description: Fortinet FortiOS and FortiADC contain an improper access control vulnerability that allows attackers to obtain the LDAP server login credentials configured in FortiGate by pointing a LDAP server connectivity test request to a rogue LDAP server. | Required action: Apply updates per vendor instructions. | Due date: 2022-09-29 | Known ransomware campaign use (KEV): Known | Notes (KEV): https://www.fortiguard.com/psirt/FG-IR-18-157; https://nvd.nist.gov/vuln/detail/CVE-2018-13374
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-732 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | FortiOS and FortiADC |
| Due Date | 2022-09-29 |
| Date Added | 2022-09-08 |
| Vendorproject | Fortinet |
| Vulnerabilityname | Fortinet FortiOS and FortiADC Improper Access Control Vulnerability |
| Knownransomwarecampaignuse | Known |
References
Created: 2026-10-02 08:09 CEST
| Updated: 2026-10-02 08:09 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: ee546371-7948-4a99-9b19-52e902df513a
Exploited: Yes
Timestamps
First Seen: 2022-09-08
Asserted: 2022-09-08
Scope
Notes: A Improper Access Control in Fortinet FortiOS 6.0.2, 5.6.7 and before, FortiADC 6.1.0, 6.0.0 to 6.0.1, 5.4.0 to 5.4.4 allows attacker to obtain the... | Affected: Fortinet / Fortinet FortiOS, fortiADC | CVSS: 4.3 (MEDIUM) | EPSS: 0.37832 | Used in malware: yes | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Confirmed Compromise
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | A Improper Access Control in Fortinet FortiOS 6.0.2, 5.6.7 and before, FortiADC 6.1.0, 6.0.0 to 6.0.1, 5.4.0 to 5.4.4 allows attacker to obtain the... |
| Cve Id | CVE-2018-13374 |
| Vendor | Fortinet |
| Ghsa Id | None |
| Product | Fortinet FortiOS, fortiADC |
| Added Date | 2022-09-08T00:00:00.000Z |
| Cvss Score | 4.3 |
| Epss Score | 0.37832 |
| Previous Ids | |
| Cvss Severity | MEDIUM |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.98503 |
| Used In Malware | yes |
| Vulnerability Id | CVE-2018-13374 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-10-02 09:11 CEST
| Updated: 2026-10-02 09:11 CEST
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"name": "https://fortiguard.com/advisory/FG-IR-18-157",
"refsource": "CONFIRM",
"url": "https://fortiguard.com/advisory/FG-IR-18-157"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "6abe59d8-c742-4dff-8ce8-9b0ca1073da8",
"assignerShortName": "fortinet",
"cveId": "CVE-2018-13374",
"datePublished": "2019-01-22T14:00:00.000Z",
"dateReserved": "2018-07-06T00:00:00.000Z",
"dateUpdated": "2026-10-01T18:32:15.707Z",
"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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