Vulnerability-Lookup

CNVD-2017-09202

Vulnerability from cnvd - Published: 2017-06-12

Title

Google Chrome credit card autofill内存错误引用漏洞

Description

Google Chrome是美国谷歌（Google）公司开发的一款Web浏览器。Android是美国谷歌（Google）公司和开放手持设备联盟（简称OHA）共同开发的一套以Linux为基础的开源操作系统。credit card autofill是其中的一个可以将信用卡信息自动添加到网站的功能。 Google Chrome 59.0.3071.86之前的版本中的credit card autofill存在内存错误引用漏洞。攻击者可利用该漏洞执行代码。

Severity

中

Patch Name

Google Chrome credit card autofill内存错误引用漏洞的补丁

Patch Description

Formal description

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://chromereleases.googleblog.com/2017/06/stable-channel-update-for-desktop.html

Reference

http://www.securityfocus.com/bid/98861

Impacted products

Name
Google Chrome <59.0.3071.86

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-5080"
    }
  },
  "description": "Google Chrome\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u5f00\u53d1\u7684\u4e00\u6b3eWeb\u6d4f\u89c8\u5668\u3002Android\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u548c\u5f00\u653e\u624b\u6301\u8bbe\u5907\u8054\u76df\uff08\u7b80\u79f0OHA\uff09\u5171\u540c\u5f00\u53d1\u7684\u4e00\u5957\u4ee5Linux\u4e3a\u57fa\u7840\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u3002credit card autofill\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u53ef\u4ee5\u5c06\u4fe1\u7528\u5361\u4fe1\u606f\u81ea\u52a8\u6dfb\u52a0\u5230\u7f51\u7ad9\u7684\u529f\u80fd\u3002\r\n\r\nGoogle Chrome 59.0.3071.86\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684credit card autofill\u5b58\u5728\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\u3002",
  "discovererName": "Khalil Zhani",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a \r\nhttps://chromereleases.googleblog.com/2017/06/stable-channel-update-for-desktop.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-09202",
  "openTime": "2017-06-12",
  "patchDescription": "Google Chrome\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u5f00\u53d1\u7684\u4e00\u6b3eWeb\u6d4f\u89c8\u5668\u3002Android\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u548c\u5f00\u653e\u624b\u6301\u8bbe\u5907\u8054\u76df\uff08\u7b80\u79f0OHA\uff09\u5171\u540c\u5f00\u53d1\u7684\u4e00\u5957\u4ee5Linux\u4e3a\u57fa\u7840\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u3002credit card autofill\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u53ef\u4ee5\u5c06\u4fe1\u7528\u5361\u4fe1\u606f\u81ea\u52a8\u6dfb\u52a0\u5230\u7f51\u7ad9\u7684\u529f\u80fd\u3002\r\n\r\nGoogle Chrome 59.0.3071.86\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684credit card autofill\u5b58\u5728\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\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": "Google Chrome credit card autofill\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Google Chrome \u003c59.0.3071.86"
  },
  "referenceLink": "http://www.securityfocus.com/bid/98861",
  "serverity": "\u4e2d",
  "submitTime": "2017-06-07",
  "title": "Google Chrome credit card autofill\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e"
}

CVE-2017-5080 (GCVE-0-2017-5080)

Vulnerability from cvelistv5 – Published: 2017-10-27 05:00 – Updated: 2024-08-05 14:47

Summary

A use after free in credit card autofill in Google Chrome prior to 59.0.3071.86 for Linux and Windows allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page.

Severity

No CVSS data available.

CWE

Use After Free

Assigner

Chrome Google root

References

6 references

URL	Tags
http://www.securityfocus.com/bid/98861	vdb-entryx_refsource_BID
https://access.redhat.com/errata/RHSA-2017:1399	vendor-advisoryx_refsource_REDHAT
http://www.securitytracker.com/id/1038622	vdb-entryx_refsource_SECTRACK
https://security.gentoo.org/glsa/201706-20	vendor-advisoryx_refsource_GENTOO
https://chromereleases.googleblog.com/2017/06/sta…	x_refsource_MISC
https://crbug.com/708819	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	Google Chrome prior to 59.0.3071.86 for Linux and Windows	Affected: Google Chrome prior to 59.0.3071.86 for Linux and Windows

Date Public

2017-06-05 00:00

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.

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.