CVE-2018-13381 (GCVE-0-2018-13381)
Vulnerability from cvelistv5 – Published: 2019-06-04 20:26 – Updated: 2024-10-25 14:29
VLAI
EPSS
VEX
Summary
A buffer overflow vulnerability in Fortinet FortiOS 6.0.0 through 6.0.4, 5.6.0 through 5.6.7, 5.4 and earlier versions and FortiProxy 2.0.0, 1.2.8 and earlier versions under SSL VPN web portal allows a non-authenticated attacker to perform a Denial-of-service attack via special craft message payloads.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-24 20:09 UTC
CWE
- Denial of service
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://fortiguard.com/advisory/FG-IR-18-387 | x_refsource_CONFIRM |
| https://fortiguard.com/advisory/FG-IR-20-232 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Fortinet | Fortinet FortiOS and FortiProxy |
Affected:
FortiOS 6.0.0 through 6.0.4, 5.6.0 through 5.6.7, 5.4 and earlier and FortiProxy 2.0.0, 1.2.8 and earlier.
|
guessed |
Date Public
2019-05-17 00:00
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"url": "https://fortiguard.com/advisory/FG-IR-18-387"
},
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://fortiguard.com/advisory/FG-IR-20-232"
}
],
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "psirt@fortinet.com",
"ID": "CVE-2018-13381",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
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{
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{
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{
"version_value": "FortiOS 6.0.0 through 6.0.4, 5.6.0 through 5.6.7, 5.4 and earlier and FortiProxy 2.0.0, 1.2.8 and earlier."
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]
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"data_format": "MITRE",
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"attackComplexity": "Low",
"attackVector": "Network",
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"baseSeverity": "Medium",
"confidentialityImpact": "None",
"integrityImpact": "None",
"privilegesRequired": "None",
"scope": "Unchanged",
"userInteraction": "None",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
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{
"name": "https://fortiguard.com/advisory/FG-IR-20-232",
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"url": "https://fortiguard.com/advisory/FG-IR-20-232"
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"assignerShortName": "fortinet",
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"datePublished": "2019-06-04T20:26:34.000Z",
"dateReserved": "2018-07-06T00:00:00.000Z",
"dateUpdated": "2024-10-25T14:29:10.377Z",
"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
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}
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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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