GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2021-07119

Vulnerability from cnvd - Published: 2021-01-28
VLAI
Title
Apache Flink任意文件写入漏洞
Description
Apache Flink 是高效和分布式的通用数据处理平台。 Apache Flink产品存在任意文件写入漏洞,攻击者可以利用该漏洞读取服务器的敏感文件,借助硬编码凭证利用该漏洞对HMI配置文件进行读写操作并重置设备。
Severity
Patch Name
Apache Flink任意文件写入漏洞的补丁
Patch Description
Apache Flink 是高效和分布式的通用数据处理平台。 Apache Flink产品存在任意文件写入漏洞,攻击者可以利用该漏洞读取服务器的敏感文件,借助硬编码凭证利用该漏洞对HMI配置文件进行读写操作并重置设备。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

目前厂商已发布升级补丁已修复漏洞,补丁获取链接: https://flink.apache.org/

Reference
http://www.openwall.com/lists/oss-security/2021/01/05/1
Impacted products
Name
Apache Flink
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-17518",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-17518"
    }
  },
  "description": "Apache Flink \u662f\u9ad8\u6548\u548c\u5206\u5e03\u5f0f\u7684\u901a\u7528\u6570\u636e\u5904\u7406\u5e73\u53f0\u3002\n\nApache Flink\u4ea7\u54c1\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u5199\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u670d\u52a1\u5668\u7684\u654f\u611f\u6587\u4ef6\uff0c\u501f\u52a9\u786c\u7f16\u7801\u51ed\u8bc1\u5229\u7528\u8be5\u6f0f\u6d1e\u5bf9HMI\u914d\u7f6e\u6587\u4ef6\u8fdb\u884c\u8bfb\u5199\u64cd\u4f5c\u5e76\u91cd\u7f6e\u8bbe\u5907\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u5df2\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://flink.apache.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-07119",
  "openTime": "2021-01-28",
  "patchDescription": "Apache Flink \u662f\u9ad8\u6548\u548c\u5206\u5e03\u5f0f\u7684\u901a\u7528\u6570\u636e\u5904\u7406\u5e73\u53f0\u3002\r\n\r\nApache Flink\u4ea7\u54c1\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u5199\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u670d\u52a1\u5668\u7684\u654f\u611f\u6587\u4ef6\uff0c\u501f\u52a9\u786c\u7f16\u7801\u51ed\u8bc1\u5229\u7528\u8be5\u6f0f\u6d1e\u5bf9HMI\u914d\u7f6e\u6587\u4ef6\u8fdb\u884c\u8bfb\u5199\u64cd\u4f5c\u5e76\u91cd\u7f6e\u8bbe\u5907\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": "Apache Flink\u4efb\u610f\u6587\u4ef6\u5199\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Flink"
  },
  "referenceLink": "http://www.openwall.com/lists/oss-security/2021/01/05/1",
  "serverity": "\u4e2d",
  "submitTime": "2021-01-06",
  "title": "Apache Flink\u4efb\u610f\u6587\u4ef6\u5199\u5165\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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…

Detection rules are retrieved from Rulezet.

Loading…

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.


Loading…