CNVD-2019-25725
Vulnerability from cnvd - Published: 2019-08-03
VLAI
Title
Crossmatch Digital Crossmatch Digital Persona U.are.U 4500 Fingerprint Reader加密问题漏洞
Description
Crossmatch Digital Persona U.are.U 4500 Fingerprint Reader是美国Crossmatch公司的一款指纹识别器。
Digital Persona U.are.U 4500 Fingerprint Reader v24版本中存在加密问题漏洞,攻击者可通过嗅探加密的指纹图像利用该漏洞解密该图像。
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.crossmatch.com/
Reference
https://www.youtube.com/watch?v=wEXJDyEOatM
https://www.youtube.com/watch?v=Grirez2xeas
https://github.com/sungjungk/fp-scanner-hacking
https://nvd.nist.gov/vuln/detail/CVE-2019-12813
Impacted products
| Name | Crossmatch Digital Persona U.are.U 4500 Fingerprint Reader v24 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2019-12813",
"cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-12813"
}
},
"description": "Crossmatch Digital Persona U.are.U 4500 Fingerprint Reader\u662f\u7f8e\u56fdCrossmatch\u516c\u53f8\u7684\u4e00\u6b3e\u6307\u7eb9\u8bc6\u522b\u5668\u3002\n\nDigital Persona U.are.U 4500 Fingerprint Reader v24\u7248\u672c\u4e2d\u5b58\u5728\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u55c5\u63a2\u52a0\u5bc6\u7684\u6307\u7eb9\u56fe\u50cf\u5229\u7528\u8be5\u6f0f\u6d1e\u89e3\u5bc6\u8be5\u56fe\u50cf\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.crossmatch.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2019-25725",
"openTime": "2019-08-03",
"products": {
"product": "Crossmatch Digital Persona U.are.U 4500 Fingerprint Reader v24"
},
"referenceLink": "https://www.youtube.com/watch?v=wEXJDyEOatM\r\nhttps://www.youtube.com/watch?v=Grirez2xeas\r\nhttps://github.com/sungjungk/fp-scanner-hacking\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2019-12813",
"serverity": "\u4e2d",
"submitTime": "2019-06-13",
"title": "Crossmatch Digital Crossmatch Digital Persona U.are.U 4500 Fingerprint Reader\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e"
}
Loading…
Loading…
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.
Loading…
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.
Loading…
Loading…