FKIE_CVE-2024-28639
Vulnerability from fkie_nvd - Published: 2024-03-16 06:15 - Updated: 2026-06-17 07:21
Severity
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/
Summary
Buffer Overflow vulnerability in TOTOLink X5000R V9.1.0u.6118-B20201102 and A7000R V9.1.0u.6115-B20201022, allow remote attackers to execute arbitrary code and cause a denial of service (DoS) via the IP field.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/ZIKH26/CVE-information/blob/master/TOTOLINK/Vulnerability%20Information_1.md | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/ZIKH26/CVE-information/blob/master/TOTOLINK/Vulnerability%20Information_1.md | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| totolink | x5000r_firmware | 9.1.0u.6118_b20201102 | |
| totolink | x5000r | - | |
| totolink | a7000r_firmware | 9.1.0u.6115_b20201022 | |
| totolink | a7000r | - |
{
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}
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],
"source": "cve@mitre.org"
},
{
"affectedData": [
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],
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"vendor": "totolink",
"versions": [
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}
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],
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"product": "a7000r_firmware",
"vendor": "totolink",
"versions": [
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"version": "9.1.0u.6115_b20201022"
}
]
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
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"configurations": [
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"cveTags": [],
"descriptions": [
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"value": "Buffer Overflow vulnerability in TOTOLink X5000R V9.1.0u.6118-B20201102 and A7000R V9.1.0u.6115-B20201022, allow remote attackers to execute arbitrary code and cause a denial of service (DoS) via the IP field."
},
{
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"value": "Vulnerabilidad de desbordamiento de b\u00fafer en TOTOLink X5000R V9.1.0u.6118-B20201102 y A7000R V9.1.0u.6115-B20201022, permite a atacantes remotos ejecutar c\u00f3digo arbitrario y provocar una denegaci\u00f3n de servicio (DoS) a trav\u00e9s del campo IP."
}
],
"id": "CVE-2024-28639",
"lastModified": "2026-06-17T07:21:35.857",
"metrics": {
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"role": "CISA Coordinator",
"timestamp": "2025-03-26T14:39:45.344701Z",
"version": "2.0.3"
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"published": "2024-03-16T06:15:14.370",
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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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