CNVD-2021-94318
Vulnerability from cnvd - Published: 2021-12-03
VLAI
Title
Libmobi缓冲区溢出漏洞
Description
Libmobi是一个C库。用于处理 Mobipocket/Kindle (MOBI) 电子书格式文档。
libmobi存在缓冲区溢出漏洞,攻击者可利用该漏洞读取超出缓冲区大小的内存信息。
Severity
高
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/bfabiszewski/libmobi/commit/bec783e6212439a335ba6e8df7ab8ed610ca9a21
Reference
https://huntr.dev/bounties/540fd115-7de4-4e19-a918-5ee61f5157c1
Impacted products
| Name | Libmobi Libmobi |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-3881"
}
},
"description": "Libmobi\u662f\u4e00\u4e2aC\u5e93\u3002\u7528\u4e8e\u5904\u7406 Mobipocket/Kindle (MOBI) \u7535\u5b50\u4e66\u683c\u5f0f\u6587\u6863\u3002\n\nlibmobi\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u8d85\u51fa\u7f13\u51b2\u533a\u5927\u5c0f\u7684\u5185\u5b58\u4fe1\u606f\u3002",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://github.com/bfabiszewski/libmobi/commit/bec783e6212439a335ba6e8df7ab8ed610ca9a21",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-94318",
"openTime": "2021-12-03",
"products": {
"product": "Libmobi Libmobi"
},
"referenceLink": "https://huntr.dev/bounties/540fd115-7de4-4e19-a918-5ee61f5157c1",
"serverity": "\u9ad8",
"submitTime": "2021-10-19",
"title": "Libmobi\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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.
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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.