Vulnerability-Lookup

CNVD-2015-05358

Vulnerability from cnvd - Published: 2015-08-19

Title

Kernel Virtual Machine内存破坏漏洞

Description

Linux kernel是美国Linux基金会发布的操作系统Linux所使用的内核。Kernel Virtual Machine（KVM，Kernel-based Virtual Machine，基于内核的虚拟机）是用于其中的一种虚拟化基础设施。 Kernel Virtual Machine中存在内存破坏漏洞。攻击者可利用该漏洞获取敏感信息或造成应用程序拒绝服务。

Severity

高

Formal description

目前没有详细解决方案提供： http://www.linux-kvm.org/page/Main_Page

Reference

http://www.securityfocus.com/bid/76256

Impacted products

Name
Linux Kernel

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "76256"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-2877"
    }
  },
  "description": "Linux kernel\u662f\u7f8e\u56fdLinux\u57fa\u91d1\u4f1a\u53d1\u5e03\u7684\u64cd\u4f5c\u7cfb\u7edfLinux\u6240\u4f7f\u7528\u7684\u5185\u6838\u3002Kernel Virtual Machine\uff08KVM\uff0cKernel-based Virtual Machine\uff0c\u57fa\u4e8e\u5185\u6838\u7684\u865a\u62df\u673a\uff09\u662f\u7528\u4e8e\u5176\u4e2d\u7684\u4e00\u79cd\u865a\u62df\u5316\u57fa\u7840\u8bbe\u65bd\u3002\r\n\r\nKernel Virtual Machine\u4e2d\u5b58\u5728\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u6216\u9020\u6210\u5e94\u7528\u7a0b\u5e8f\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "Antonio Barresi, Kaveh Razavi, Mathias Payer, and Thomas R. Gross.",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttp://www.linux-kvm.org/page/Main_Page",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-05358",
  "openTime": "2015-08-19",
  "products": {
    "product": "Linux Kernel"
  },
  "referenceLink": "http://www.securityfocus.com/bid/76256",
  "serverity": "\u9ad8",
  "submitTime": "2015-08-14",
  "title": "Kernel Virtual Machine\u5185\u5b58\u7834\u574f\u6f0f\u6d1e"
}

CVE-2015-2877 (GCVE-0-2015-2877)

Vulnerability from cvelistv5 – Published: 2017-03-03 11:00 – Updated: 2024-08-06 05:32 Disputed

Summary

Kernel Samepage Merging (KSM) in the Linux kernel 2.6.32 through 4.x does not prevent use of a write-timing side channel, which allows guest OS users to defeat the ASLR protection mechanism on other guest OS instances via a Cross-VM ASL INtrospection (CAIN) attack. NOTE: the vendor states "Basically if you care about this attack vector, disable deduplication." Share-until-written approaches for memory conservation among mutually untrusting tenants are inherently detectable for information disclosure, and can be classified as potentially misunderstood behaviors rather than vulnerabilities

Severity

No CVSS data available.

CWE

Assigner

certcc mitre root

References

7 references

URL	Tags
http://www.securityfocus.com/bid/76256	vdb-entryx_refsource_BID
http://www.kb.cert.org/vuls/id/935424	third-party-advisoryx_refsource_CERT-VN
http://www.antoniobarresi.com/files/cain_advisory.txt	x_refsource_MISC
https://www.kb.cert.org/vuls/id/BGAR-A2CNKG	x_refsource_MISC
https://www.kb.cert.org/vuls/id/BLUU-9ZAHZH	x_refsource_MISC
https://bugzilla.redhat.com/show_bug.cgi?id=1252096	x_refsource_MISC
https://www.usenix.org/system/files/conference/wo…	x_refsource_MISC

Date Public

2015-07-30 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.

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.