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CVE-2018-13374 (GCVE-0-2018-13374)

Vulnerability from cvelistv5 – Published: 2019-01-22 14:00 – Updated: 2026-08-13 03:55
VLAI CISA Previdian
Summary
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)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
SSVC
Exploitation: active Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2022-08-31 00:00 UTC
CWE
  • Improper Access Control
  • CWE-732 - Incorrect Permission Assignment for Critical Resource
Assigner
References
Impacted products
Vendor Product Version CPE status
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
guessed Create a notification for this product.
Date Public
2019-01-22 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 0f27ceba-efc5-4c89-9698-7941e645ccd2

Vulnerability ID: CVE-2018-13374

Status: Confirmed

Status Updated: 2022-09-08 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2022-09-08
Asserted: 2022-09-08
Scope
Notes: KEV entry: 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: 2026-02-02 13:25 UTC | Updated: 2026-02-06 07:53 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 806c7166-2e24-4e58-a100-0cc7c9b4fb49

Vulnerability ID: CVE-2018-13374

Status: Confirmed

Status Updated: 2022-09-08 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2022-09-08
Asserted: 2022-09-08
Scope
Notes: KEVIntel entry: 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) | Used in malware: yes | Not yet in CISA KEV: False
Evidence

Type: Public Report

Signal: Confirmed Compromise

Confidence: 70%

Source: kevintel

Details
Feed KEVIntel (kevintel.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...
Vendor Fortinet
Product Fortinet FortiOS, fortiADC
Added Date 2022-09-08T00:00:00.000Z
Cvss Score 4.3
Epss Score None
Cvss Severity MEDIUM
Epss Percentile None
Used In Malware yes
Ahead Of Cisa Kev None
Not Yet In Cisa Kev False
References
Created: 2026-06-23 11:14 UTC | Updated: 2026-06-23 11:14 UTC
Show details on NVD website
To clipboard 

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                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
                "version": "3.1"
              }
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "description": "Improper Access Control",
                  "lang": "en",
                  "type": "text"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2021-06-03T10:29:23.000Z",
            "orgId": "6abe59d8-c742-4dff-8ce8-9b0ca1073da8",
            "shortName": "fortinet"
          },
          "references": [
            {
              "tags": [
                "x_refsource_CONFIRM"
              ],
              "url": "https://fortiguard.com/advisory/FG-IR-18-157"
            }
          ],
          "x_legacyV4Record": {
            "CVE_data_meta": {
              "ASSIGNER": "psirt@fortinet.com",
              "ID": "CVE-2018-13374",
              "STATE": "PUBLIC"
            },
            "affects": {
              "vendor": {
                "vendor_data": [
                  {
                    "product": {
                      "product_data": [
                        {
                          "product_name": "Fortinet FortiOS, fortiADC",
                          "version": {
                            "version_data": [
                              {
                                "version_value": "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"
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            "data_type": "CVE",
            "data_version": "4.0",
            "description": {
              "description_data": [
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                  "lang": "eng",
                  "value": "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."
                }
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            },
            "impact": {
              "cvss": {
                "attackComplexity": "Low",
                "attackVector": "Network",
                "availabilityImpact": "None",
                "baseScore": 4.2,
                "baseSeverity": "Medium",
                "confidentialityImpact": "Low",
                "integrityImpact": "None",
                "privilegesRequired": "Low",
                "scope": "Unchanged",
                "userInteraction": "None",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
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                      "lang": "eng",
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            },
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              "reference_data": [
                {
                  "name": "https://fortiguard.com/advisory/FG-IR-18-157",
                  "refsource": "CONFIRM",
                  "url": "https://fortiguard.com/advisory/FG-IR-18-157"
                }
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      },
      "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": "2026-08-13T03:55:43.200Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.


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.