CNVD-2022-25192
Vulnerability from cnvd - Published: 2022-03-31
VLAI
Title
Gradle Enterprise存在未明漏洞
Description
Gradle是美国Gradle公司的一套基于JVM的项目构建工具,它支持maven、Ivy仓库等。
Gradle Enterprise在 2021.4.2之前存在安全漏洞,该漏洞源于默认的内置构建缓存配置允许匿名写访问。如果不手动更改此设置,则对构建缓存具有网络访问权限的恶意行为者可能会在其中填充受操纵的条目,这些条目在构建过程中执行恶意代码。 目前没有详细的漏洞细节提供。
Severity
高
Formal description
目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法:
https://security.gradle.com/advisory/2022-02
Reference
https://nvd.nist.gov/vuln/detail/CVE-2022-25364
Impacted products
| Name | Gradle Gradle Enterprise <2021.4.2 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2022-25364"
}
},
"description": "Gradle\u662f\u7f8e\u56fdGradle\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eJVM\u7684\u9879\u76ee\u6784\u5efa\u5de5\u5177\uff0c\u5b83\u652f\u6301maven\u3001Ivy\u4ed3\u5e93\u7b49\u3002\n\nGradle Enterprise\u5728 2021.4.2\u4e4b\u524d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u9ed8\u8ba4\u7684\u5185\u7f6e\u6784\u5efa\u7f13\u5b58\u914d\u7f6e\u5141\u8bb8\u533f\u540d\u5199\u8bbf\u95ee\u3002\u5982\u679c\u4e0d\u624b\u52a8\u66f4\u6539\u6b64\u8bbe\u7f6e\uff0c\u5219\u5bf9\u6784\u5efa\u7f13\u5b58\u5177\u6709\u7f51\u7edc\u8bbf\u95ee\u6743\u9650\u7684\u6076\u610f\u884c\u4e3a\u8005\u53ef\u80fd\u4f1a\u5728\u5176\u4e2d\u586b\u5145\u53d7\u64cd\u7eb5\u7684\u6761\u76ee\uff0c\u8fd9\u4e9b\u6761\u76ee\u5728\u6784\u5efa\u8fc7\u7a0b\u4e2d\u6267\u884c\u6076\u610f\u4ee3\u7801\u3002 \u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\n\r\nhttps://security.gradle.com/advisory/2022-02",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2022-25192",
"openTime": "2022-03-31",
"products": {
"product": "Gradle Gradle Enterprise \u003c2021.4.2"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-25364",
"serverity": "\u9ad8",
"submitTime": "2022-03-18",
"title": "Gradle Enterprise\u5b58\u5728\u672a\u660e\u6f0f\u6d1e"
}
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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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.