Vulnerability-Lookup

CNVD-2018-05336

Vulnerability from cnvd - Published: 2018-03-15

Title

Huawei Mate 9 Pro内存释放漏洞

Description

Huawei Mate 9 Pro是中国华为（Huawei）公司的一款智能手机。 Huawei Mate 9 Pro存在内存释放漏洞，该漏洞是由于系统未能合理地管理内存导致程序可以两次释放相同的内存地址空间。攻击者通过诱使已获取root权限的用户安装精心设计的应用程序，可导致恶意代码执行。

Severity

高

Patch Name

Huawei Mate 9 Pro内存释放漏洞的补丁

Patch Description

Huawei Mate 9 Pro是中国华为（Huawei）公司的一款智能手机。 Huawei Mate 9 Pro存在内存释放漏洞，该漏洞是由于系统未能合理地管理内存导致程序可以两次释放相同的内存地址空间。攻击者通过诱使已获取root权限的用户安装精心设计的应用程序，可导致恶意代码执行。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以修复漏洞，补丁获取链接: http://www.huawei.com/cn/psirt/security-advisories/2018/huawei-sa-20180314-02-smartphone-cn

Reference

http://www.huawei.com/cn/psirt/security-advisories/2018/huawei-sa-20180314-02-smartphone-cn

Impacted products

Name
['Huawei Mate 9 Pro LON-AL00BC00B139D', 'Huawei Mate 9 Pro LON-AL00BC00B229', 'Huawei Mate 9 Pro LON-L29DC721B188']

Show details on source website

JSON

To clipboard

{
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    "cve": {
      "cveNumber": "CVE-2017-17320"
    }
  },
  "description": "Huawei Mate 9 Pro\u662f\u4e2d\u56fd\u534e\u4e3a\uff08Huawei\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u624b\u673a\u3002\r\n\r\nHuawei Mate 9 Pro\u5b58\u5728\u5185\u5b58\u91ca\u653e\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u7cfb\u7edf\u672a\u80fd\u5408\u7406\u5730\u7ba1\u7406\u5185\u5b58\u5bfc\u81f4\u7a0b\u5e8f\u53ef\u4ee5\u4e24\u6b21\u91ca\u653e\u76f8\u540c\u7684\u5185\u5b58\u5730\u5740\u7a7a\u95f4\u3002\u653b\u51fb\u8005\u901a\u8fc7\u8bf1\u4f7f\u5df2\u83b7\u53d6root\u6743\u9650\u7684\u7528\u6237\u5b89\u88c5\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u5e94\u7528\u7a0b\u5e8f\uff0c\u53ef\u5bfc\u81f4\u6076\u610f\u4ee3\u7801\u6267\u884c\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-05336",
  "openTime": "2018-03-15",
  "patchDescription": "Huawei Mate 9 Pro\u662f\u4e2d\u56fd\u534e\u4e3a\uff08Huawei\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u624b\u673a\u3002\r\n\r\nHuawei Mate 9 Pro\u5b58\u5728\u5185\u5b58\u91ca\u653e\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u7cfb\u7edf\u672a\u80fd\u5408\u7406\u5730\u7ba1\u7406\u5185\u5b58\u5bfc\u81f4\u7a0b\u5e8f\u53ef\u4ee5\u4e24\u6b21\u91ca\u653e\u76f8\u540c\u7684\u5185\u5b58\u5730\u5740\u7a7a\u95f4\u3002\u653b\u51fb\u8005\u901a\u8fc7\u8bf1\u4f7f\u5df2\u83b7\u53d6root\u6743\u9650\u7684\u7528\u6237\u5b89\u88c5\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u5e94\u7528\u7a0b\u5e8f\uff0c\u53ef\u5bfc\u81f4\u6076\u610f\u4ee3\u7801\u6267\u884c\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",
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  "products": {
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      "Huawei Mate 9 Pro LON-AL00BC00B139D",
      "Huawei Mate 9 Pro LON-AL00BC00B229",
      "Huawei Mate 9 Pro LON-L29DC721B188"
    ]
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  "referenceLink": "http://www.huawei.com/cn/psirt/security-advisories/2018/huawei-sa-20180314-02-smartphone-cn",
  "serverity": "\u9ad8",
  "submitTime": "2018-03-15",
  "title": "Huawei Mate 9 Pro\u5185\u5b58\u91ca\u653e\u6f0f\u6d1e"
}

CVE-2017-17320 (GCVE-0-2017-17320)

Vulnerability from cvelistv5 – Published: 2018-03-20 15:00 – Updated: 2024-08-05 20:51

Summary

Huawei Mate 9 Pro smartphones with software of LON-AL00BC00B139D, LON-AL00BC00B229, LON-L29DC721B188 have a memory double free vulnerability. The system does not manage the memory properly, that frees on the same memory address twice. An attacker tricks the user who has root privilege to install a crafted application, successful exploit could result in malicious code execution.

Severity

No CVSS data available.

CWE

memory double free

Assigner

huawei mitre root

References

1 reference

URL	Tags
http://www.huawei.com/en/psirt/security-advisorie…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Huawei Technologies Co., Ltd.	Mate 9 Pro	Affected: LON-AL00BC00B139D, LON-AL00BC00B229, LON-L29DC721B188

Date Public

2018-03-14 00:00

Show details on NVD website

JSON

To clipboard

{
  "containers": {
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        "providerMetadata": {
          "dateUpdated": "2024-08-05T20:51:30.549Z",
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          }
        ],
        "title": "CVE Program Container"
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          "vendor": "Huawei Technologies Co., Ltd.",
          "versions": [
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        }
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      "providerMetadata": {
        "dateUpdated": "2018-03-20T14:57:01.000Z",
        "orgId": "25ac1063-e409-4190-8079-24548c77ea2e",
        "shortName": "huawei"
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  "cveMetadata": {
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    "dateReserved": "2017-12-04T00:00:00.000Z",
    "dateUpdated": "2024-08-05T20:51:30.549Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.