FKIE_CVE-2025-28137
Vulnerability from fkie_nvd - Published: 2025-04-15 14:15 - Updated: 2026-06-17 09:04
Severity
Summary
The TOTOLINK A810R V4.1.2cu.5182_B20201026 were found to contain a pre-auth remote command execution vulnerability in the setNoticeCfg function through the NoticeUrl parameter.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/Zerone0x00/CVE/blob/main/TOTOLINK/CVE-2025-28137.md | Exploit, Third Party Advisory | |
| cve@mitre.org | https://sudsy-eyeliner-a59.notion.site/RCE1-1ab72b8cd95f80d09eded269810f3756?pvs=4 | Exploit, Third Party Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://sudsy-eyeliner-a59.notion.site/RCE1-1ab72b8cd95f80d09eded269810f3756 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| totolink | a810r_firmware | 4.1.2cu.5182_b20201026 | |
| totolink | a810r | - |
{
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"version": "n/a"
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}
],
"source": "cve@mitre.org"
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],
"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The TOTOLINK A810R V4.1.2cu.5182_B20201026 were found to contain a pre-auth remote command execution vulnerability in the setNoticeCfg function through the NoticeUrl parameter."
},
{
"lang": "es",
"value": "Se descubri\u00f3 que el TOTOLINK A810R V4.1.2cu.5182_B20201026 conten\u00eda una vulnerabilidad de ejecuci\u00f3n de comandos remotos previos a la autorizaci\u00f3n en la funci\u00f3n setNoticeCfg a trav\u00e9s del par\u00e1metro NoticeUrl."
}
],
"id": "CVE-2025-28137",
"lastModified": "2026-06-17T09:04:35.993",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"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"
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"role": "CISA Coordinator",
"timestamp": "2025-04-15T17:31:53.931384Z",
"version": "2.0.3"
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"published": "2025-04-15T14:15:41.400",
"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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