CVE-2018-13383 (GCVE-0-2018-13383)
Vulnerability from cvelistv5 – Published: 2019-05-29 17:20 – Updated: 2025-10-21 23:45- Denial of service
- CWE-787 - Out-of-bounds Write
| URL | Tags |
|---|---|
| https://fortiguard.com/advisory/FG-IR-18-388 | x_refsource_CONFIRM |
| https://fortiguard.com/advisory/FG-IR-20-229 | x_refsource_CONFIRM |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Fortinet | Fortinet FortiOS and FortiProxy |
Affected:
FortiOS 6.0.0 through 6.0.4, 5.6.0 through 5.6.10, 5.4.0 through 5.4.12, 5.2.14 and earlier, FortiProxy 2.0.0, 1.2.8 and earlier
|
guessed |
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-787 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | FortiOS and FortiProxy |
| Due Date | 2022-07-10 |
| Date Added | 2022-01-10 |
| Vendorproject | Fortinet |
| Vulnerabilityname | Fortinet FortiOS and FortiProxy Out-of-bounds Write |
| Knownransomwarecampaignuse | Known |
References
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Public Report
Signal: Confirmed Compromise
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | A heap buffer overflow in Fortinet FortiOS 6.0.0 through 6.0.4, 5.6.0 through 5.6.10, 5.4.0 through 5.4.12, 5.2.14 and earlier and FortiProxy... |
| Vendor | Fortinet |
| Product | Fortinet FortiOS and FortiProxy |
| Added Date | 2022-01-10T00:00:00.000Z |
| 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
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"privilegesRequired": "Low",
"scope": "Unchanged",
"userInteraction": "None",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "Denial of service"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://fortiguard.com/advisory/FG-IR-18-388",
"refsource": "CONFIRM",
"url": "https://fortiguard.com/advisory/FG-IR-18-388"
},
{
"name": "https://fortiguard.com/advisory/FG-IR-20-229",
"refsource": "CONFIRM",
"url": "https://fortiguard.com/advisory/FG-IR-20-229"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "6abe59d8-c742-4dff-8ce8-9b0ca1073da8",
"assignerShortName": "fortinet",
"cveId": "CVE-2018-13383",
"datePublished": "2019-05-29T17:20:03.000Z",
"dateReserved": "2018-07-06T00:00:00.000Z",
"dateUpdated": "2025-10-21T23:45:36.261Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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.
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.
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.