CNVD-2020-52059
Vulnerability from cnvd - Published: 2020-09-08
VLAI
Title
Oracle iPlanet Web Server注入漏洞(CNVD-2020-52059 )
Description
Oracle iPlanet Web Server(OiWS)是美国甲骨文(Oracle)公司的一款主要用于中型和大型业务应用程序的Web服务器。
Oracle iPlanet Web Server注入漏洞。攻击者可借助‘productNameSrc’参数利用该漏洞实施钓鱼攻击或社会工程攻击。
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.oracle.com/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-9314
Impacted products
| Name | Oracle OiWS 7.0.* |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-9314"
}
},
"description": "Oracle iPlanet Web Server\uff08OiWS\uff09\u662f\u7f8e\u56fd\u7532\u9aa8\u6587\uff08Oracle\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u4e3b\u8981\u7528\u4e8e\u4e2d\u578b\u548c\u5927\u578b\u4e1a\u52a1\u5e94\u7528\u7a0b\u5e8f\u7684Web\u670d\u52a1\u5668\u3002\n\nOracle iPlanet Web Server\u6ce8\u5165\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u2018productNameSrc\u2019\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u9493\u9c7c\u653b\u51fb\u6216\u793e\u4f1a\u5de5\u7a0b\u653b\u51fb\u3002",
"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.oracle.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2020-52059",
"openTime": "2020-09-08",
"products": {
"product": "Oracle OiWS 7.0.*"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-9314",
"serverity": "\u4e2d",
"submitTime": "2020-05-11",
"title": "Oracle iPlanet Web Server\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2020-52059 \uff09"
}
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.