FKIE_CVE-2014-1599
Vulnerability from fkie_nvd - Published: 2014-03-09 13:16 - Updated: 2026-06-17 00:05
Severity
Summary
Multiple cross-site scripting (XSS) vulnerabilities in the SFR Box router with firmware NB6-MAIN-R3.3.4 allow remote attackers to inject arbitrary web script or HTML via unspecified parameters to (1) dns, (2) dhcp, (3) nat, (4) route, or (5) lan in network/; or (6) wifi/config.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| sfr | sfr_box_router_firmware | nb6-main-r3.3.4 | |
| sfr | sfr_box_router | - |
{
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"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
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],
"source": "cve@mitre.org"
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"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Multiple cross-site scripting (XSS) vulnerabilities in the SFR Box router with firmware NB6-MAIN-R3.3.4 allow remote attackers to inject arbitrary web script or HTML via unspecified parameters to (1) dns, (2) dhcp, (3) nat, (4) route, or (5) lan in network/; or (6) wifi/config."
},
{
"lang": "es",
"value": "M\u00faltiples vulnerabilidades de XSS en el router SFR Box con firmware NB6-MAIN-R3.3.4 permiten a atacantes remotos inyectar script Web o HTML arbitrarios a trav\u00e9s de par\u00e1metros no especificados hacia (1) dns, (2) dhcp, (3) nat, (4) route o (5) lan en network/; o (6) wifi/config."
}
],
"id": "CVE-2014-1599",
"lastModified": "2026-06-17T00:05:15.733",
"metrics": {
"cvssMetricV2": [
{
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"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
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"published": "2014-03-09T13:16:56.773",
"references": [
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"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/archive/1/531349/100/0/threaded"
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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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