CNVD-2019-14622
Vulnerability from cnvd - Published: 2019-05-17
VLAI
Title
Aware Mobile Liveness SDK Face authentication组件授权问题漏洞
Description
Aware Mobile Liveness SDK 2.2.0版本中的Face authentication组件存在授权问题漏洞。该漏洞源于网络系统或产品中缺少身份验证措施或身份验证强度不足,允许通过/ knomi / analyze security_level字段的参数篡改来绕过Biometrical Liveness身份验证。
Severity
中
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://www.aware.com/
Reference
https://web.nvd.nist.gov//vuln/detail/CVE-2019-9196
Impacted products
| Name | Aware mobile liveness 2.2.1 sdk 2.2.0 for Knomi |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2019-9196",
"cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-9196"
}
},
"description": "Aware Mobile Liveness SDK 2.2.0\u7248\u672c\u4e2d\u7684Face authentication\u7ec4\u4ef6\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u4e2d\u7f3a\u5c11\u8eab\u4efd\u9a8c\u8bc1\u63aa\u65bd\u6216\u8eab\u4efd\u9a8c\u8bc1\u5f3a\u5ea6\u4e0d\u8db3,\u5141\u8bb8\u901a\u8fc7/ knomi / analyze security_level\u5b57\u6bb5\u7684\u53c2\u6570\u7be1\u6539\u6765\u7ed5\u8fc7Biometrical Liveness\u8eab\u4efd\u9a8c\u8bc1\u3002",
"discovererName": "unknown",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.aware.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2019-14622",
"openTime": "2019-05-17",
"products": {
"product": "Aware mobile liveness 2.2.1 sdk 2.2.0 for Knomi"
},
"referenceLink": "https://web.nvd.nist.gov//vuln/detail/CVE-2019-9196",
"serverity": "\u4e2d",
"submitTime": "2019-05-15",
"title": "Aware Mobile Liveness SDK Face authentication\u7ec4\u4ef6\u6388\u6743\u95ee\u9898\u6f0f\u6d1e"
}
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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.
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.
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