Vulnerability-Lookup

CNVD-2018-16953

Vulnerability from cnvd - Published: 2018-08-30

Title

PyCryptodome整数溢出漏洞

Description

PyCryptodome是一款适用于Python的由低级加密原语组成的加密包。 PyCryptodome 3.6.6之前版本中的AESNI.c文件的data_len变量存在整数溢出漏洞。攻击者可借助小于16字节的消息利用该漏洞使其无法正确的处理小于16字节的消息。

Severity

中

Patch Name

PyCryptodome整数溢出漏洞的补丁

Patch Description

PyCryptodome是一款适用于Python的由低级加密原语组成的加密包。 PyCryptodome 3.6.6之前版本中的AESNI.c文件的data_len变量存在整数溢出漏洞。攻击者可借助小于16字节的消息利用该漏洞使其无法正确的处理小于16字节的消息。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

厂商已发布漏洞修复程序，请及时关注更新： https://github.com/Legrandin/pycryptodome/commit/d1739c62b9b845f8a5b342de08d6bf6e2722d247

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-15560

Impacted products

Name
PyCryptodome PyCryptodome <3.6.6

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2018-15560"
    }
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  "discovererName": "unknwon",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-16953",
  "openTime": "2018-08-30",
  "patchDescription": "PyCryptodome\u662f\u4e00\u6b3e\u9002\u7528\u4e8ePython\u7684\u7531\u4f4e\u7ea7\u52a0\u5bc6\u539f\u8bed\u7ec4\u6210\u7684\u52a0\u5bc6\u5305\u3002\r\n\r\nPyCryptodome 3.6.6\u4e4b\u524d\u7248\u672c\u4e2d\u7684AESNI.c\u6587\u4ef6\u7684data_len\u53d8\u91cf\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u5c0f\u4e8e16\u5b57\u8282\u7684\u6d88\u606f\u5229\u7528\u8be5\u6f0f\u6d1e\u4f7f\u5176\u65e0\u6cd5\u6b63\u786e\u7684\u5904\u7406\u5c0f\u4e8e16\u5b57\u8282\u7684\u6d88\u606f\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": "PyCryptodome\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "PyCryptodome PyCryptodome \u003c3.6.6"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-15560",
  "serverity": "\u4e2d",
  "submitTime": "2018-08-20",
  "title": "PyCryptodome\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2018-15560 (GCVE-0-2018-15560)

Vulnerability from cvelistv5 – Published: 2018-08-20 00:00 – Updated: 2024-08-05 09:54

Summary

PyCryptodome before 3.6.6 has an integer overflow in the data_len variable in AESNI.c, related to the AESNI_encrypt and AESNI_decrypt functions, leading to the mishandling of messages shorter than 16 bytes.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 29/100 over 2267 records in the last 180 days details

References

2 references

URL	Tags
https://whitehatck01.blogspot.com/2018/08/integer…	x_refsource_MISC
https://github.com/Legrandin/pycryptodome/issues/198	x_refsource_MISC

Date Public

2018-08-19 00:00

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.

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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.

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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.

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