FKIE_CVE-2024-51017
Vulnerability from fkie_nvd - Published: 2024-11-05 15:15 - Updated: 2026-06-17 08:05
Severity
Summary
Netgear R7000P v1.3.3.154 was discovered to contain a stack overflow via the l2tp_user_netmask parameter at l2tp.cgi. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted POST request.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/wudipjq/my_vuln/blob/main/Netgear6/vuln_59/59.md | Broken Link | |
| cve@mitre.org | https://www.netgear.com/about/security/ | Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| netgear | r7000p_firmware | 1.3.3.154 | |
| netgear | r7000p | - |
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"affectedData": [
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"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Netgear R7000P v1.3.3.154 was discovered to contain a stack overflow via the l2tp_user_netmask parameter at l2tp.cgi. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted POST request."
},
{
"lang": "es",
"value": " Se descubri\u00f3 que Netgear R7000P v1.3.3.154 conten\u00eda un desbordamiento de pila a trav\u00e9s del par\u00e1metro l2tp_user_netmask en l2tp.cgi. Esta vulnerabilidad permite a los atacantes provocar una denegaci\u00f3n de servicio (DoS) a trav\u00e9s de una solicitud POST manipulada."
}
],
"id": "CVE-2024-51017",
"lastModified": "2026-06-17T08:05:18.610",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 5.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
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"role": "CISA Coordinator",
"timestamp": "2024-11-05T15:38:53.021298Z",
"version": "2.0.3"
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"published": "2024-11-05T15:15:25.460",
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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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