Vulnerability-Lookup

CNVD-2022-05871

Vulnerability from cnvd - Published: 2022-01-23

Title

mrdoc代码问题漏洞

Description

mrdoc是一个基于python开发的在线文档系统。 mrdoc存在安全漏洞，攻击者可利用该漏洞对不可信数据进行反序列化。

Severity

中

Patch Name

mrdoc代码问题漏洞的补丁

Patch Description

mrdoc是一个基于python开发的在线文档系统。 mrdoc存在安全漏洞，攻击者可利用该漏洞对不可信数据进行反序列化。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://github.com/zmister2016/mrdoc/commit/bb49e1287700b4e7681eab544c61093821ce72f6

Reference

https://huntr.dev/bounties/04fc04b3-2dc1-4cad-a090-e403cd66b5ad

Impacted products

Name
mrdoc mrdoc <0.7.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-32568"
    }
  },
  "description": "mrdoc\u662f\u4e00\u4e2a\u57fa\u4e8epython\u5f00\u53d1\u7684\u5728\u7ebf\u6587\u6863\u7cfb\u7edf\u3002\n\nmrdoc\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bf9\u4e0d\u53ef\u4fe1\u6570\u636e\u8fdb\u884c\u53cd\u5e8f\u5217\u5316\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\r\nhttps://github.com/zmister2016/mrdoc/commit/bb49e1287700b4e7681eab544c61093821ce72f6",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-05871",
  "openTime": "2022-01-23",
  "patchDescription": "mrdoc\u662f\u4e00\u4e2a\u57fa\u4e8epython\u5f00\u53d1\u7684\u5728\u7ebf\u6587\u6863\u7cfb\u7edf\u3002\r\n\r\nmrdoc\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bf9\u4e0d\u53ef\u4fe1\u6570\u636e\u8fdb\u884c\u53cd\u5e8f\u5217\u5316\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": "mrdoc\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "mrdoc mrdoc \u003c0.7.0"
  },
  "referenceLink": "https://huntr.dev/bounties/04fc04b3-2dc1-4cad-a090-e403cd66b5ad",
  "serverity": "\u4e2d",
  "submitTime": "2021-09-08",
  "title": "mrdoc\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2021-32568 (GCVE-0-2021-32568)

Vulnerability from cvelistv5 – Published: 2021-09-06 11:17 – Updated: 2024-08-03 23:25

Title

Deserialization of Untrusted Data in zmister2016/mrdoc

Summary

mrdoc is vulnerable to Deserialization of Untrusted Data

Severity

7.5 (High)


                        
                          CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

@huntrdev

References

2 references

URL	Tags
https://huntr.dev/bounties/04fc04b3-2dc1-4cad-a09…	x_refsource_CONFIRM
https://github.com/zmister2016/mrdoc/commit/bb49e…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
zmister2016	zmister2016/mrdoc	Affected: unspecified , < 0.7.1 (custom)

Show details on NVD website

JSON

To clipboard

{
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          "dateUpdated": "2024-08-03T23:25:30.861Z",
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              "x_transferred"
            ],
            "url": "https://huntr.dev/bounties/04fc04b3-2dc1-4cad-a090-e403cd66b5ad"
          },
          {
            "tags": [
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            ],
            "url": "https://github.com/zmister2016/mrdoc/commit/bb49e1287700b4e7681eab544c61093821ce72f6"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "product": "zmister2016/mrdoc",
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            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
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      "x_legacyV4Record": {
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    "dateReserved": "2021-05-11T00:00:00.000Z",
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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.