Vulnerability-Lookup

CNVD-2020-66573

Vulnerability from cnvd - Published: 2020-11-26

Title

Libsvm拒绝服务漏洞

Description

Libsvm是一款用于SVM分类和回归的简单、易用且高效的软件。 Libsvm 324版中的svm.cpp中的svm_predict_values存在拒绝服务漏洞。攻击者可通过特制模型SVM利用该漏洞导致拒绝服务（分段错误）。

Severity

低

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/cjlin1/libsvm

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-28975

Impacted products

Name
Libsvm Libsvm v324

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2020-28975",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-28975"
    }
  },
  "description": "Libsvm\u662f\u4e00\u6b3e\u7528\u4e8eSVM\u5206\u7c7b\u548c\u56de\u5f52\u7684\u7b80\u5355\u3001\u6613\u7528\u4e14\u9ad8\u6548\u7684\u8f6f\u4ef6\u3002\n\nLibsvm 324\u7248\u4e2d\u7684svm.cpp\u4e2d\u7684svm_predict_values\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236\u6a21\u578bSVM\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\uff08\u5206\u6bb5\u9519\u8bef\uff09\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/cjlin1/libsvm",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-66573",
  "openTime": "2020-11-26",
  "products": {
    "product": "Libsvm Libsvm v324"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-28975",
  "serverity": "\u4f4e",
  "submitTime": "2020-11-23",
  "title": "Libsvm\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2020-28975 (GCVE-0-2020-28975)

Vulnerability from cvelistv5 – Published: 2020-11-21 00:00 – Updated: 2024-08-04 16:48 Disputed

Summary

svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute.

Severity

No CVSS data available.

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-06-26 20:03 UTC

CWE

Assigner

mitre mitre root Scorecard

References

6 references

URL	Tags
https://github.com/scikit-learn/scikit-learn/issu…
https://github.com/cjlin1/libsvm/blob/9a3a9708926…
http://seclists.org/fulldisclosure/2020/Nov/44	mailing-list
http://packetstormsecurity.com/files/160281/SciKi…
https://github.com/scikit-learn/scikit-learn/comm…
https://security.gentoo.org/glsa/202301-03	vendor-advisory

Show details on NVD website

JSON

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                "timestamp": "2024-06-26T20:03:17.341405Z",
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            "url": "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501"
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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.
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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.

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.
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CNVD-2020-66573

CVE-2020-28975 (GCVE-0-2020-28975)

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