Vulnerability-Lookup

CNVD-2020-54930

Vulnerability from cnvd - Published: 2020-09-30

Title

Mozilla Firefox和Firefox ESR输入验证错误漏洞（CNVD-2020-54930）

Description

Mozilla Firefox和Mozilla Firefox ESR都是美国Mozilla基金会的产品。Mozilla Firefox是一款开源Web浏览器。Mozilla Firefox ESR是Firefox(Web浏览器)的一个延长支持版本。基于Windows平台的Mozilla Firefox ESR 68.8之前版本和Firefox 76之前版本中存在安全漏洞。攻击者可利用该漏洞绕过沙盒保护。

Severity

高

Patch Name

Mozilla Firefox和Firefox ESR输入验证错误漏洞（CNVD-2020-54930）的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://www.mozilla.org/en-US/security/advisories/mfsa2020-16/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-12388

Impacted products

Name
['Mozilla Firefox <76', 'Mozilla Firefox ESR <68.8']

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2020-12388",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-12388"
    }
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-54930",
  "openTime": "2020-09-30",
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  "patchName": "Mozilla Firefox\u548cFirefox ESR\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2020-54930\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Mozilla Firefox \u003c76",
      "Mozilla Firefox ESR \u003c68.8"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-12388",
  "serverity": "\u9ad8",
  "submitTime": "2020-05-08",
  "title": "Mozilla Firefox\u548cFirefox ESR\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2020-54930\uff09"
}

CVE-2020-12388 (GCVE-0-2020-12388)

Vulnerability from cvelistv5 – Published: 2020-05-26 17:04 – Updated: 2024-08-04 11:56

Summary

The Firefox content processes did not sufficiently lockdown access control which could result in a sandbox escape. *Note: this issue only affects Firefox on Windows operating systems.*. This vulnerability affects Firefox ESR < 68.8 and Firefox < 76.

Severity

No CVSS data available.

CWE

Sandbox escape with improperly guarded Access Tokens

Assigner

mozilla mitre root

References

4 references

URL	Tags
https://www.mozilla.org/security/advisories/mfsa2…	x_refsource_MISC
https://www.mozilla.org/security/advisories/mfsa2…	x_refsource_MISC
https://bugzilla.mozilla.org/show_bug.cgi?id=1618911	x_refsource_MISC
http://packetstormsecurity.com/files/157860/Firef…	x_refsource_MISC

Impacted products

2 products

Vendor	Product	Version
Mozilla	Firefox ESR	Affected: unspecified , < 68.8 (custom)
Mozilla	Firefox	Affected: unspecified , < 76 (custom)

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.