Vulnerability-Lookup

CNVD-2018-24293

Vulnerability from cnvd - Published: 2018-11-28

Title

Google Android Fastboot信息泄露漏洞

Description

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。Fastboot是其中的一个快速启动组件。 Android中的Fastboot存在信息泄露漏洞。攻击者可利用该漏洞获取信息（内存泄露或其他异常情况）。

Severity

中

Patch Name

Google Android Fastboot信息泄露漏洞的补丁

Patch Description

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。Fastboot是其中的一个快速启动组件。 Android中的Fastboot存在信息泄露漏洞。攻击者可利用该漏洞获取信息（内存泄露或其他异常情况）。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.codeaurora.org/security-bulletin/2018/11/05/november-2018-code-aurora-forum-security-bulletin

Reference

https://source.codeaurora.org/quic/la/abl/tianocore/edk2/commit/?id=45734409dd45e6b117f7f9f7e11047f67a7accc1

Impacted products

Name
Google Android

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-11943"
    }
  },
  "description": "Android\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\u3002Fastboot\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u5feb\u901f\u542f\u52a8\u7ec4\u4ef6\u3002\n\nAndroid\u4e2d\u7684Fastboot\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u4fe1\u606f\uff08\u5185\u5b58\u6cc4\u9732\u6216\u5176\u4ed6\u5f02\u5e38\u60c5\u51b5\uff09\u3002",
  "discovererName": "unKnow",
  "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://www.codeaurora.org/security-bulletin/2018/11/05/november-2018-code-aurora-forum-security-bulletin",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-24293",
  "openTime": "2018-11-28",
  "patchDescription": "Android\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\u3002Fastboot\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u5feb\u901f\u542f\u52a8\u7ec4\u4ef6\u3002\r\n\r\nAndroid\u4e2d\u7684Fastboot\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u4fe1\u606f\uff08\u5185\u5b58\u6cc4\u9732\u6216\u5176\u4ed6\u5f02\u5e38\u60c5\u51b5\uff09\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 Android Fastboot\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Google Android"
  },
  "referenceLink": "https://source.codeaurora.org/quic/la/abl/tianocore/edk2/commit/?id=45734409dd45e6b117f7f9f7e11047f67a7accc1",
  "serverity": "\u4e2d",
  "submitTime": "2018-11-28",
  "title": "Google Android Fastboot\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2018-11943 (GCVE-0-2018-11943)

Vulnerability from cvelistv5 – Published: 2018-11-27 18:00 – Updated: 2024-08-05 08:24

Summary

In all android releases(Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, while processing fastboot flash command, memory leak or unexpected behavior may occur due to processing of unintialized data buffers.

Severity

No CVSS data available.

CWE

Assigner

qualcomm mitre root

References

2 references

URL	Tags
https://source.codeaurora.org/quic/la/abl/tianoco…	x_refsource_CONFIRM
https://www.codeaurora.org/security-bulletin/2018…	x_refsource_CONFIRM

Date Public

2018-11-05 00:00

Show details on NVD website

JSON

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        "providerMetadata": {
          "dateUpdated": "2024-08-05T08:24:03.005Z",
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            "url": "https://www.codeaurora.org/security-bulletin/2018/11/05/november-2018-code-aurora-forum-security-bulletin"
          }
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      }
    ],
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      "providerMetadata": {
        "dateUpdated": "2018-11-27T17:57:02.000Z",
        "orgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
        "shortName": "qualcomm"
      },
      "references": [
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          "tags": [
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        },
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          "url": "https://www.codeaurora.org/security-bulletin/2018/11/05/november-2018-code-aurora-forum-security-bulletin"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
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        },
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  "cveMetadata": {
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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.