FKIE_CVE-2026-26732
Vulnerability from fkie_nvd - Published: 2026-02-17 19:21 - Updated: 2026-06-17 10:26
Severity
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/
Summary
TOTOLINK A3002RU V2.1.1-B20211108.1455 was discovered to contain a stack-based buffer overflow via the vpnUser or vpnPassword` parameters in the formFilter function.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/0xmania/cve/tree/main/TOTOLINK-A3002RU-boa-formFilter-StackOverflow | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| totolink | a3002ru_firmware | 2.1.1-b20211108.1455 | |
| totolink | a3002ru-v2 | - |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"matchCriteriaId": "66928591-1CC8-47F3-ADDC-5F303CE700AF",
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"vulnerable": false
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "TOTOLINK A3002RU V2.1.1-B20211108.1455 was discovered to contain a stack-based buffer overflow via the vpnUser or vpnPassword` parameters in the formFilter function."
},
{
"lang": "es",
"value": "Se descubri\u00f3 que TOTOLINK A3002RU V2.1.1-B20211108.1455 conten\u00eda un desbordamiento de b\u00fafer basado en pila a trav\u00e9s de los par\u00e1metros vpnUser o vpnPassword\u0027 en la funci\u00f3n formFilter."
}
],
"id": "CVE-2026-26732",
"lastModified": "2026-06-17T10:26:18.183",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
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"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
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{
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],
"role": "CISA Coordinator",
"timestamp": "2026-02-21T21:20:53.644575Z",
"version": "2.0.3"
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"published": "2026-02-17T19:21:57.493",
"references": [
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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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