CNVD-2017-09892
Vulnerability from cnvd - Published: 2017-06-16
VLAI
Title
多个eMLi 产品目录遍历漏洞
Description
AuroMeera Technometrix Pvt eMLi School Management等都是印度AuroMeera公司的应用于教育行业的产品。eMLi School Management是一套学校管理系统;eMLi College Campus Management是一套校园综合管理系统。
多个eMLi 产品存在目录遍历漏洞,由于程序未能充分验证用户输入。远程攻击者可以使用特制的目录遍历序列('../')检索敏感信息。
Severity
中
Formal description
目前没有详细的解决方案提供: http://www.auromeera.com/
Reference
http://www.securityfocus.com/bid/97255
https://nvd.nist.gov/vuln/detail/CVE-2017-7258
Impacted products
| Name | AuroMeera Technometrix Pvt. Ltd eMLi University Management 1.0 |
|---|
{
"bids": {
"bid": {
"bidNumber": "97255"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2017-7258",
"cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-7258"
}
},
"description": "AuroMeera Technometrix Pvt eMLi School Management\u7b49\u90fd\u662f\u5370\u5ea6AuroMeera\u516c\u53f8\u7684\u5e94\u7528\u4e8e\u6559\u80b2\u884c\u4e1a\u7684\u4ea7\u54c1\u3002eMLi School Management\u662f\u4e00\u5957\u5b66\u6821\u7ba1\u7406\u7cfb\u7edf\uff1beMLi College Campus Management\u662f\u4e00\u5957\u6821\u56ed\u7efc\u5408\u7ba1\u7406\u7cfb\u7edf\u3002\r\n\r\n\u591a\u4e2aeMLi \u4ea7\u54c1\u5b58\u5728\u76ee\u5f55\u904d\u5386\u6f0f\u6d1e\uff0c\u7531\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5145\u5206\u9a8c\u8bc1\u7528\u6237\u8f93\u5165\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u4ee5\u4f7f\u7528\u7279\u5236\u7684\u76ee\u5f55\u904d\u5386\u5e8f\u5217\uff08\u0027../\u0027\uff09\u68c0\u7d22\u654f\u611f\u4fe1\u606f\u3002",
"discovererName": "unqdrms",
"formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttp://www.auromeera.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2017-09892",
"openTime": "2017-06-16",
"products": {
"product": "AuroMeera Technometrix Pvt. Ltd eMLi University Management 1.0"
},
"referenceLink": "http://www.securityfocus.com/bid/97255\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2017-7258",
"serverity": "\u4e2d",
"submitTime": "2017-05-24",
"title": "\u591a\u4e2aeMLi \u4ea7\u54c1\u76ee\u5f55\u904d\u5386\u6f0f\u6d1e"
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
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.
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.
Loading…
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.