GSD-2021-22129
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
Multiple instances of incorrect calculation of buffer size in the Webmail and Administrative interface of FortiMail before 6.4.5 may allow an authenticated attacker with regular webmail access to trigger a buffer overflow and to possibly execute unauthorized code or commands via specifically crafted HTTP requests.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-22129",
"description": "Multiple instances of incorrect calculation of buffer size in the Webmail and Administrative interface of FortiMail before 6.4.5 may allow an authenticated attacker with regular webmail access to trigger a buffer overflow and to possibly execute unauthorized code or commands via specifically crafted HTTP requests.",
"id": "GSD-2021-22129"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-22129"
],
"details": "Multiple instances of incorrect calculation of buffer size in the Webmail and Administrative interface of FortiMail before 6.4.5 may allow an authenticated attacker with regular webmail access to trigger a buffer overflow and to possibly execute unauthorized code or commands via specifically crafted HTTP requests.",
"id": "GSD-2021-22129",
"modified": "2023-12-13T01:23:24.083460Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "psirt@fortinet.com",
"ID": "CVE-2021-22129",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Fortinet FortiMail",
"version": {
"version_data": [
{
"version_value": "FortiMail before 6.4.5"
}
]
}
}
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}
]
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"value": "Multiple instances of incorrect calculation of buffer size in the Webmail and Administrative interface of FortiMail before 6.4.5 may allow an authenticated attacker with regular webmail access to trigger a buffer overflow and to possibly execute unauthorized code or commands via specifically crafted HTTP requests."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "Low",
"attackVector": "Network",
"availabilityImpact": "High",
"baseScore": 8.3,
"baseSeverity": "High",
"confidentialityImpact": "High",
"integrityImpact": "High",
"privilegesRequired": "Low",
"scope": "Unchanged",
"userInteraction": "None",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "Execute unauthorized code or commands"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://fortiguard.com/advisory/FG-IR-21-023",
"refsource": "CONFIRM",
"url": "https://fortiguard.com/advisory/FG-IR-21-023"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
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{
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"cpe_name": [],
"versionEndIncluding": "5.4.12",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:fortinet:fortimail:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "6.0.11",
"versionStartIncluding": "5.6.1",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:fortinet:fortimail:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "6.2.7",
"versionStartIncluding": "6.2.0",
"vulnerable": true
},
{
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"cpe_name": [],
"versionEndExcluding": "6.4.5",
"versionStartIncluding": "6.4.0",
"vulnerable": true
}
],
"operator": "OR"
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]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "psirt@fortinet.com",
"ID": "CVE-2021-22129"
},
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"description": {
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}
]
},
"problemtype": {
"problemtype_data": [
{
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{
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]
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},
"references": {
"reference_data": [
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"refsource": "CONFIRM",
"tags": [
"Vendor Advisory"
],
"url": "https://fortiguard.com/advisory/FG-IR-21-023"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2021-07-12T13:55Z",
"publishedDate": "2021-07-09T19:15Z"
}
}
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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