Vulnerability-Lookup

CNVD-2015-05090

Vulnerability from cnvd - Published: 2015-08-04

Title

IBM SDK Java Security Components本地信息泄露漏洞

Description

IBM SDK是一套用于创建、发现、调用和测试Web服务的集成工具包。 IBM SDK会把明文数据存储到内存中，允许本地攻击者可利用漏洞获取敏感信息。

Severity

低

Patch Name

IBM SDK Java Security Components本地信息泄露漏洞的补丁

Patch Description

IBM SDK是一套用于创建、发现、调用和测试Web服务的集成工具包。IBM SDK会把明文数据存储到内存中，允许本地攻击者可利用漏洞获取敏感信息。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

目前厂商已经发布了升级补丁以修复这个安全问题，请到厂商的主页下载： http://www-01.ibm.com/support/docview.wss?uid=swg1IV75183

Reference

http://www-01.ibm.com/support/docview.wss?uid=swg1IV75183

Impacted products

Name
IBM SDK Java Security Components

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "75985"
    }
  },
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    "cve": {
      "cveNumber": "CVE-2015-1931"
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  "discovererName": "IBM",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttp://www-01.ibm.com/support/docview.wss?uid=swg1IV75183",
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  "number": "CNVD-2015-05090",
  "openTime": "2015-08-04",
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  "patchName": "IBM SDK Java Security Components\u672c\u5730\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
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  "serverity": "\u4f4e",
  "submitTime": "2015-07-31",
  "title": "IBM SDK Java Security Components\u672c\u5730\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2015-1931 (GCVE-0-2015-1931)

Vulnerability from cvelistv5 – Published: 2020-01-23 18:42 – Updated: 2024-08-06 05:02

Summary

IBM Java Security Components in IBM SDK, Java Technology Edition 8 before SR1 FP10, 7 R1 before SR3 FP10, 7 before SR9 FP10, 6 R1 before SR8 FP7, 6 before SR16 FP7, and 5.0 before SR16 FP13 stores plaintext information in memory dumps, which allows local users to obtain sensitive information by reading a file.

Severity

No CVSS data available.

CWE

Other

Assigner

ibm mitre root

References

10 references

URL	Tags
http://lists.opensuse.org/opensuse-security-annou…	x_refsource_MISC
http://www-01.ibm.com/support/docview.wss?uid=swg…	x_refsource_MISC
http://rhn.redhat.com/errata/RHSA-2015-1485.html	x_refsource_MISC
http://rhn.redhat.com/errata/RHSA-2015-1486.html	x_refsource_MISC
http://rhn.redhat.com/errata/RHSA-2015-1488.html	x_refsource_MISC
http://www-01.ibm.com/support/docview.wss?uid=swg…	x_refsource_MISC
http://rhn.redhat.com/errata/RHSA-2015-1544.html	x_refsource_MISC
http://rhn.redhat.com/errata/RHSA-2015-1604.html	x_refsource_MISC
http://www.securityfocus.com/bid/75985	x_refsource_MISC
http://lists.opensuse.org/opensuse-security-annou…	x_refsource_MISC

Date Public

2015-07-15 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.