GSD-2022-41540
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The web app client of TP-Link AX10v1 V1_211117 uses hard-coded cryptographic keys when communicating with the router. Attackers who are able to intercept the communications between the web client and router through a man-in-the-middle attack can then obtain the sequence key via a brute-force attack, and access sensitive information.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-41540",
"id": "GSD-2022-41540"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "The web app client of TP-Link AX10v1 V1_211117 uses hard-coded cryptographic keys when communicating with the router. Attackers who are able to intercept the communications between the web client and router through a man-in-the-middle attack can then obtain the sequence key via a brute-force attack, and access sensitive information.",
"id": "GSD-2022-41540",
"modified": "2023-12-13T01:19:32.757789Z",
"schema_version": "1.4.0"
}
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"affects": {
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}
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"reference_data": [
{
"name": "https://www.tp-link.com/us/support/download/archer-ax10/v1/#Firmware",
"refsource": "MISC",
"url": "https://www.tp-link.com/us/support/download/archer-ax10/v1/#Firmware"
},
{
"name": "https://github.com/efchatz/easy-exploits/tree/main/Web/TP-Link/Offline-decryption",
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"url": "https://github.com/efchatz/easy-exploits/tree/main/Web/TP-Link/Offline-decryption"
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"description": {
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}
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"problemtype": {
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"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
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"exploitabilityScore": 2.2,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-10-20T15:48Z",
"publishedDate": "2022-10-18T15:15Z"
}
}
}
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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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