CNVD-2018-09634

Vulnerability from cnvd - Published: 2018-05-17
VLAI
Title
Pivotal Spring Integration Zip任意文件写入漏洞
Description
Pivotal Spring Integration Zip是美国Pivotal Software公司的一款使用在Spring中的压缩/解压缩组件。 Pivotal Spring Integration Zip存在任意文件写入漏洞。允许攻击者向受影响的系统写入任意文件。
Severity
高
Patch Name
Pivotal Spring Integration Zip任意文件写入漏洞的补丁
Patch Description
Pivotal Spring Integration Zip是美国Pivotal Software公司的一款使用在Spring中的压缩/解压缩组件。 Pivotal Spring Integration Zip存在任意文件写入漏洞。允许攻击者向受影响的系统写入任意文件。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

用户可参考如下供应商提供的安全公告获得补丁信息: https://pivotal.io/security/cve-2018-1263

Reference
https://pivotal.io/security/cve-2018-1263
Impacted products
Name
['Pivotal Software Spring Integration Zip 1.0.1', 'Pivotal Software Spring Integration Zip 1.0', 'Pivotal Software Spring Integration Zip 1.0.0.M1']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "104179"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-1263"
    }
  },
  "description": "Pivotal Spring Integration Zip\u662f\u7f8e\u56fdPivotal Software\u516c\u53f8\u7684\u4e00\u6b3e\u4f7f\u7528\u5728Spring\u4e2d\u7684\u538b\u7f29/\u89e3\u538b\u7f29\u7ec4\u4ef6\u3002\r\n\r\nPivotal Spring Integration Zip\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u5199\u5165\u6f0f\u6d1e\u3002\u5141\u8bb8\u653b\u51fb\u8005\u5411\u53d7\u5f71\u54cd\u7684\u7cfb\u7edf\u5199\u5165\u4efb\u610f\u6587\u4ef6\u3002",
  "discovererName": "Snyk Security Research Team and Abago Forgans",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://pivotal.io/security/cve-2018-1263",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-09634",
  "openTime": "2018-05-17",
  "patchDescription": "Pivotal Spring Integration Zip\u662f\u7f8e\u56fdPivotal Software\u516c\u53f8\u7684\u4e00\u6b3e\u4f7f\u7528\u5728Spring\u4e2d\u7684\u538b\u7f29/\u89e3\u538b\u7f29\u7ec4\u4ef6\u3002\r\n\r\nPivotal Spring Integration Zip\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u5199\u5165\u6f0f\u6d1e\u3002\u5141\u8bb8\u653b\u51fb\u8005\u5411\u53d7\u5f71\u54cd\u7684\u7cfb\u7edf\u5199\u5165\u4efb\u610f\u6587\u4ef6\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Pivotal Spring Integration Zip\u4efb\u610f\u6587\u4ef6\u5199\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Pivotal Software Spring Integration Zip 1.0.1",
      "Pivotal Software Spring Integration Zip 1.0",
      "Pivotal Software Spring Integration Zip 1.0.0.M1"
    ]
  },
  "referenceLink": "https://pivotal.io/security/cve-2018-1263",
  "serverity": "\u9ad8",
  "submitTime": "2018-05-17",
  "title": "Pivotal Spring Integration Zip\u4efb\u610f\u6587\u4ef6\u5199\u5165\u6f0f\u6d1e"
}



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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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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.


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