Vulnerability-Lookup

CNVD-2019-39378

Vulnerability from cnvd - Published: 2019-11-06

Title

py-lmdb缓冲区溢出漏洞

Description

py-lmdb是一款适用于Python的LMDB（一款嵌入式事务数据库）。 py-lmdb 0.97版本中存在缓冲区错误漏洞。攻击者可利用该漏洞造成无效的写入操作。

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/jnwatson/py-lmdb

Reference

https://nvd.nist.gov/vuln/detail/CVE-2019-16224

Impacted products

Name
jnwatson py-lmdb 0.97

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-16224",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-16224"
    }
  },
  "description": "py-lmdb\u662f\u4e00\u6b3e\u9002\u7528\u4e8ePython\u7684LMDB\uff08\u4e00\u6b3e\u5d4c\u5165\u5f0f\u4e8b\u52a1\u6570\u636e\u5e93\uff09\u3002\n\npy-lmdb 0.97\u7248\u672c\u4e2d\u5b58\u5728\u7f13\u51b2\u533a\u9519\u8bef\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u65e0\u6548\u7684\u5199\u5165\u64cd\u4f5c\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/jnwatson/py-lmdb",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-39378",
  "openTime": "2019-11-06",
  "products": {
    "product": "jnwatson py-lmdb 0.97"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-16224",
  "serverity": "\u9ad8",
  "submitTime": "2019-09-12",
  "title": "py-lmdb\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2019-16224 (GCVE-0-2019-16224)

Vulnerability from cvelistv5 – Published: 2019-09-11 14:47 – Updated: 2024-08-05 01:10

Summary

An issue was discovered in py-lmdb 0.97. For certain values of md_flags, mdb_node_add does not properly set up a memcpy destination, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/TeamSeri0us/pocs/tree/master/l…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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              "x_transferred"
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            "url": "https://github.com/TeamSeri0us/pocs/tree/master/lmdb/lmdb%20initialization%20vuln"
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        "dateUpdated": "2019-10-12T19:38:36.000Z",
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Sightings

Author	Source	Type	Date	Other

Nomenclature

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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.
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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

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