Vulnerability-Lookup

CNVD-2022-20548

Vulnerability from cnvd - Published: 2022-03-18

Title

Google Asylo内存读取漏洞

Description

Google Asylo是美国谷歌（Google）公司的一个用于开发可信应用程序的框架。该软件支持创建一个可信任的执行环境，包括软件隔离和硬件隔离。 Google Asylo在0.6.1版本存在内存读取漏洞漏洞，该漏洞允许不受信任的攻击者可以在MessageReader中传递syscall号码，然后由sysno()使用并可以绕过验证。攻击者能够从安全enclave中读取内存。

Severity

低

Patch Name

Google Asylo内存读取漏洞的补丁

Patch Description

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新：https://github.com/google/asylo/commit/90d7619e9dd99bcdb6cd28c7649d741d254d9a1a

Reference

https://github.com/google/asylo/commit/90d7619e9dd99bcdb6cd28c7649d741d254d9a1a

Impacted products

Name
Google Google asylo 0.6.1

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-22552",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-22552"
    }
  },
  "description": "Google Asylo\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u7528\u4e8e\u5f00\u53d1\u53ef\u4fe1\u5e94\u7528\u7a0b\u5e8f\u7684\u6846\u67b6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301\u521b\u5efa\u4e00\u4e2a\u53ef\u4fe1\u4efb\u7684\u6267\u884c\u73af\u5883\uff0c\u5305\u62ec\u8f6f\u4ef6\u9694\u79bb\u548c\u786c\u4ef6\u9694\u79bb\u3002\n\nGoogle Asylo\u57280.6.1\u7248\u672c\u5b58\u5728\u5185\u5b58\u8bfb\u53d6\u6f0f\u6d1e\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u5141\u8bb8\u4e0d\u53d7\u4fe1\u4efb\u7684\u653b\u51fb\u8005\u53ef\u4ee5\u5728MessageReader\u4e2d\u4f20\u9012syscall\u53f7\u7801\uff0c\u7136\u540e\u7531sysno()\u4f7f\u7528\u5e76\u53ef\u4ee5\u7ed5\u8fc7\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u80fd\u591f\u4ece\u5b89\u5168enclave\u4e2d\u8bfb\u53d6\u5185\u5b58\u3002",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1ahttps://github.com/google/asylo/commit/90d7619e9dd99bcdb6cd28c7649d741d254d9a1a",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-20548",
  "openTime": "2022-03-18",
  "patchDescription": "Google Asylo\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u7528\u4e8e\u5f00\u53d1\u53ef\u4fe1\u5e94\u7528\u7a0b\u5e8f\u7684\u6846\u67b6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301\u521b\u5efa\u4e00\u4e2a\u53ef\u4fe1\u4efb\u7684\u6267\u884c\u73af\u5883\uff0c\u5305\u62ec\u8f6f\u4ef6\u9694\u79bb\u548c\u786c\u4ef6\u9694\u79bb\u3002\r\n\r\nGoogle Asylo\u57280.6.1\u7248\u672c\u5b58\u5728\u5185\u5b58\u8bfb\u53d6\u6f0f\u6d1e\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u5141\u8bb8\u4e0d\u53d7\u4fe1\u4efb\u7684\u653b\u51fb\u8005\u53ef\u4ee5\u5728MessageReader\u4e2d\u4f20\u9012syscall\u53f7\u7801\uff0c\u7136\u540e\u7531sysno()\u4f7f\u7528\u5e76\u53ef\u4ee5\u7ed5\u8fc7\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u80fd\u591f\u4ece\u5b89\u5168enclave\u4e2d\u8bfb\u53d6\u5185\u5b58\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 Asylo\u5185\u5b58\u8bfb\u53d6\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Google Google asylo 0.6.1"
  },
  "referenceLink": "https://github.com/google/asylo/commit/90d7619e9dd99bcdb6cd28c7649d741d254d9a1a",
  "serverity": "\u4f4e",
  "submitTime": "2021-08-05",
  "title": "Google Asylo\u5185\u5b58\u8bfb\u53d6\u6f0f\u6d1e"
}

CVE-2021-22552 (GCVE-0-2021-22552)

Vulnerability from cvelistv5 – Published: 2021-08-02 15:40 – Updated: 2024-09-17 01:40

Title

Memory overread secure enclave in Asylo 0.6.2

Summary

An untrusted memory read vulnerability in Asylo versions up to 0.6.1 allows an untrusted attacker to pass a syscall number in MessageReader that is then used by sysno() and can bypass validation. This can allow the attacker to read memory from within the secure enclave. We recommend updating to Asylo 0.6.3 or past https://github.com/google/asylo/commit/90d7619e9dd99bcdb6cd28c7649d741d254d9a1a

Severity

5.3 (Medium)


                        
                          CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:N

CWE

CWE-126 - Buffer Over-read

Assigner

Google Google root

References

1 reference

URL	Tags
https://github.com/google/asylo/commit/90d7619e9d…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Google LLC	Asylo	Affected: unspecified , ≤ 0.6.2 (custom)

Date Public

2021-06-03 00:00

Credits

Qinkun Bao (Baidu Security) Zhaofeng Chen (Baidu Security) Mingshen Sun (Baidu Security) Kang Li (Baidu Security)

Show details on NVD website

JSON

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          "dateUpdated": "2024-08-03T18:44:14.032Z",
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            "url": "https://github.com/google/asylo/commit/90d7619e9dd99bcdb6cd28c7649d741d254d9a1a"
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        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
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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.