Vulnerability-Lookup

CNVD-2017-27543

Vulnerability from cnvd - Published: 2017-09-20

Title

IBM Sametime Meeting Server信息泄露漏洞（CNVD-2017-27543）

Description

IBM Sametime是美国IBM公司的一套下一代社交通信工具。该工具通过集成音频语音、数据和视频，帮助用户实现实时业务协作。Sametime Meeting Server是其中的一个用于Sametime（聊天和会议）服务器中的Web会议组件。 IBM Sametime中的Sametime Meeting Server 8.5.2版本和9.0版本中存在信息泄露漏洞。远程攻击者可利用该漏洞向错误地址发送回复。

Severity

中

Patch Name

IBM Sametime Meeting Server信息泄露漏洞（CNVD-2017-27543）的补丁

Patch Description

Formal description

厂商已发布漏洞修复程序，请及时关注更新： http://www.ibm.com/support/docview.wss?uid=swg22006441

Reference

https://nvd.nist.gov/vuln/detail/CVE-2016-2976 http://www.securityfocus.com/bid/100572 https://exchange.xforce.ibmcloud.com/vulnerabilities/113936

Impacted products

Name
['IBM Sametime Meeting Server 8.5.2', 'IBM Sametime Meeting Server 9.0']

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "100572"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-2976"
    }
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  "number": "CNVD-2017-27543",
  "openTime": "2017-09-20",
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  "patchName": "IBM Sametime Meeting Server\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2017-27543\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM Sametime Meeting Server 8.5.2",
      "IBM Sametime Meeting Server  9.0"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2016-2976\r\nhttp://www.securityfocus.com/bid/100572\r\nhttps://exchange.xforce.ibmcloud.com/vulnerabilities/113936",
  "serverity": "\u4e2d",
  "submitTime": "2017-08-30",
  "title": "IBM Sametime Meeting Server\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2017-27543\uff09"
}

CVE-2016-2976 (GCVE-0-2016-2976)

Vulnerability from cvelistv5 – Published: 2017-08-29 21:00 – Updated: 2024-09-16 17:18

Summary

IBM Sametime Meeting Server 8.5.2 and 9.0 could allow a meeting invitee to obtain previously cleared sensitive information by viewing the meeting report history. IBM X-Force ID: 113936.

Severity

No CVSS data available.

CWE

Obtain Information

Assigner

ibm mitre root

References

3 references

URL	Tags
http://www.ibm.com/support/docview.wss?uid=swg22006441	x_refsource_CONFIRM
https://exchange.xforce.ibmcloud.com/vulnerabilit…	x_refsource_MISC
http://www.securityfocus.com/bid/100572	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
IBM	Sametime	Affected: 8.5.2 Affected: 8.5.2.1 Affected: 9.0 Affected: 9.0.0.1 Affected: 9.0.1

Date Public

2017-08-25 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.