Vulnerability-Lookup

CNVD-2020-63978

Vulnerability from cnvd - Published: 2020-11-18

Title

Huawei Mate 30缓冲区溢出漏洞

Description

Huawei Mate 30是中国华为（Huawei）公司的一款智能手机。 HUAWEI Mate 30 10.1.0.159(C00E159R7P2)之前版本存在缓冲区溢出漏洞，该漏洞源于限制不当，攻击者可以利用此漏洞导致系统堆溢出。

Severity

中

Patch Name

Huawei Mate 30缓冲区溢出漏洞的补丁

Patch Description

Huawei Mate 30是中国华为（Huawei）公司的一款智能手机。 HUAWEI Mate 30 10.1.0.159(C00E159R7P2)之前版本存在缓冲区溢出漏洞，该漏洞源于限制不当，攻击者可以利用此漏洞导致系统堆溢出。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

厂商已发布了漏洞修复程序，请及时关注更新： https://www.huawei.com/en/psirt/security-advisories/huawei-sa-20201111-01-smartphone-en

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-9129

Impacted products

Name
Huawei HUAWEI Mate 30 <10.1.0.159(C00E159R7P2)

Show details on source website

JSON

To clipboard

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  "number": "CNVD-2020-63978",
  "openTime": "2020-11-18",
  "patchDescription": "Huawei Mate 30\u662f\u4e2d\u56fd\u534e\u4e3a\uff08Huawei\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u624b\u673a\u3002\r\n\r\nHUAWEI Mate 30 10.1.0.159(C00E159R7P2)\u4e4b\u524d\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u9650\u5236\u4e0d\u5f53\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6b64\u6f0f\u6d1e\u5bfc\u81f4\u7cfb\u7edf\u5806\u6ea2\u51fa\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": "Huawei Mate 30\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Huawei HUAWEI Mate 30 \u003c10.1.0.159(C00E159R7P2)"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-9129",
  "serverity": "\u4e2d",
  "submitTime": "2020-11-16",
  "title": "Huawei Mate 30\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2020-9129 (GCVE-0-2020-9129)

Vulnerability from cvelistv5 – Published: 2020-11-13 14:48 – Updated: 2024-08-04 10:19

Summary

HUAWEI Mate 30 versions earlier than 10.1.0.159(C00E159R7P2) have a vulnerability of improper buffer operation. Due to improper restrictions, local attackers with high privileges can exploit the vulnerability to cause system heap overflow.

Severity

No CVSS data available.

CWE

Improper Buffer Operation Restrictions

Assigner

huawei mitre root

References

1 reference

URL	Tags
https://www.huawei.com/en/psirt/security-advisori…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	HUAWEI Mate 30	Affected: Versions earlier than 10.1.0.159(C00E159R7P2)

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.