GSD-2023-28769
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The buffer overflow vulnerability in the library “libclinkc.so” of the web server “zhttpd” in Zyxel DX5401-B0 firmware versions prior to V5.17(ABYO.1)C0 could allow a remote unauthenticated attacker to execute some OS commands or to cause denial-of-service (DoS) conditions on a vulnerable device.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-28769",
"id": "GSD-2023-28769"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-28769"
],
"details": "The buffer overflow vulnerability in the library \u201clibclinkc.so\u201d of the web server \u201czhttpd\u201d in Zyxel DX5401-B0 firmware versions prior to V5.17(ABYO.1)C0 could allow a remote unauthenticated attacker to execute some OS commands or to cause denial-of-service (DoS) conditions on a vulnerable device.",
"id": "GSD-2023-28769",
"modified": "2023-12-13T01:20:46.792459Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
},
"affects": {
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{
"product": {
"product_data": [
{
"product_name": "DX5401-B0 firmware",
"version": {
"version_data": [
{
"version_value": "\u003c V5.17(ABYO.1)C0"
}
]
}
}
]
},
"vendor_name": "Zyxel"
}
]
}
},
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"data_version": "4.0",
"description": {
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"value": "The buffer overflow vulnerability in the library \u201clibclinkc.so\u201d of the web server \u201czhttpd\u201d in Zyxel DX5401-B0 firmware versions prior to V5.17(ABYO.1)C0 could allow a remote unauthenticated attacker to execute some OS commands or to cause denial-of-service (DoS) conditions on a vulnerable device."
}
]
},
"impact": {
"cvss": {
"baseScore": "9.8",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-120: Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://www.zyxel.com/global/en/support/security-advisories/zyxel-security-advisory-for-multiple-vulnerabilities",
"refsource": "CONFIRM",
"url": "https://www.zyxel.com/global/en/support/security-advisories/zyxel-security-advisory-for-multiple-vulnerabilities"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:o:zyxel:dx5401-b0_firmware:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "5.17\\(abyo.1\\)c0",
"vulnerable": true
}
],
"operator": "OR"
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{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:h:zyxel:dx5401-b0:-:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": false
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"operator": "OR"
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"cve": {
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"ID": "CVE-2023-28769"
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "The buffer overflow vulnerability in the library \u201clibclinkc.so\u201d of the web server \u201czhttpd\u201d in Zyxel DX5401-B0 firmware versions prior to V5.17(ABYO.1)C0 could allow a remote unauthenticated attacker to execute some OS commands or to cause denial-of-service (DoS) conditions on a vulnerable device."
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"problemtype": {
"problemtype_data": [
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"description": [
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"references": {
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"name": "https://www.zyxel.com/global/en/support/security-advisories/zyxel-security-advisory-for-multiple-vulnerabilities",
"refsource": "CONFIRM",
"tags": [
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],
"url": "https://www.zyxel.com/global/en/support/security-advisories/zyxel-security-advisory-for-multiple-vulnerabilities"
}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2023-05-08T18:15Z",
"publishedDate": "2023-04-27T09:15Z"
}
}
}
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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.
- 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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