Vulnerability-Lookup

CNVD-2018-24488

Vulnerability from cnvd - Published: 2018-12-03

Title

Qualcomm SD 600缓冲区溢出漏洞

Description

Qualcomm SD 600是美国高通（Qualcomm）公司的一款用于移动设备的中央处理器（CPU）产品。 Qualcomm SD 600（用于移动设备）中的Core Services存在缓冲区溢出漏洞。攻击者可利用该漏洞执行未授权的操作。

Severity

中

Patch Name

Qualcomm SD 600缓冲区溢出漏洞的补丁

Patch Description

Qualcomm SD 600是美国高通（Qualcomm）公司的一款用于移动设备的中央处理器（CPU）产品。 Qualcomm SD 600（用于移动设备）中的Core Services存在缓冲区溢出漏洞。攻击者可利用该漏洞执行未授权的操作。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： https://www.qualcomm.com/company/product-security/bulletins

Reference

https://www.securityfocus.com/bid/105838

Impacted products

Name
Qualcomm SD 600

Show details on source website

JSON

To clipboard

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      "bidNumber": "105838"
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      "cveNumber": "CVE-2017-18315"
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-24488",
  "openTime": "2018-12-03",
  "patchDescription": "Qualcomm SD 600\u662f\u7f8e\u56fd\u9ad8\u901a\uff08Qualcomm\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u7528\u4e8e\u79fb\u52a8\u8bbe\u5907\u7684\u4e2d\u592e\u5904\u7406\u5668\uff08CPU\uff09\u4ea7\u54c1\u3002\r\n\r\nQualcomm SD 600\uff08\u7528\u4e8e\u79fb\u52a8\u8bbe\u5907\uff09\u4e2d\u7684Core Services\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u672a\u6388\u6743\u7684\u64cd\u4f5c\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": "Qualcomm SD 600\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Qualcomm SD 600"
  },
  "referenceLink": "https://www.securityfocus.com/bid/105838",
  "serverity": "\u4e2d",
  "submitTime": "2018-11-29",
  "title": "Qualcomm SD 600\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2017-18315 (GCVE-0-2017-18315)

Vulnerability from cvelistv5 – Published: 2018-11-28 15:00 – Updated: 2024-08-05 21:20

Summary

Buffer over-read vulnerabilities in an older version of ASN.1 parser in Snapdragon Mobile in versions SD 600.

Severity

No CVSS data available.

CWE

Buffer Over-read in Core Services

Assigner

qualcomm mitre root

References

2 references

URL	Tags
https://www.qualcomm.com/company/product-security…	x_refsource_CONFIRM
http://www.securityfocus.com/bid/105838	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
Qualcomm, Inc.	Snapdragon Mobile	Affected: SD 600

Date Public

2018-11-28 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.