Vulnerability-Lookup

CNVD-2018-25272

Vulnerability from cnvd - Published: 2018-12-14

Title

IBM DataPower Gateways弱加密算法漏洞

Description

IBM DataPower Gateways是美国IBM公司的一套专门为移动、云、应用编程接口（API）、网络、面向服务架构（SOA）、B2B和云工作负载而设计的安全和集成平台，它可利用专用网关平台跨渠道保护、集成和优化访问。 IBM DataPower Gateways存在弱加密算法漏洞，攻击者可利用该漏洞解密高度敏感的信息。

Severity

中

Patch Name

IBM DataPower Gateway弱加密算法漏洞的补丁

Patch Description

IBM DataPower Gateways是美国IBM公司的一套专门为移动、云、应用编程接口（API）、网络、面向服务架构（SOA）、B2B和云工作负载而设计的安全和集成平台，它可利用专用网关平台跨渠道保护、集成和优化访问。 IBM DataPower Gateway存在弱加密算法漏洞，攻击者可利用该漏洞解密高度敏感的信息。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

厂商已发布了漏洞修复程序，请及时关注更新： http://www.ibm.com/support/docview.wss?uid=ibm10744195

Reference

https://www-01.ibm.com/support/docview.wss?uid=ibm10744195

Impacted products

Name
['IBM DataPower Gateway 7.6.0.10', 'IBM DataPower Gateways >=7.5.2.0，<=7.5.2.17', 'IBM DataPower Gateways >=7.5.1.0，<=7.5.1.17', 'IBM DataPower Gateways >=7.5.0.0，<=7.5.0.18', 'IBM DataPower Gateways >=7.7.0.0，<=7.7.1.3']

Show details on source website

JSON

To clipboard

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      "cveNumber": "CVE-2018-1665"
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  "discovererName": "Srinivasarao Kotipalli \u0026 Jeremy Soh",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttp://www.ibm.com/support/docview.wss?uid=ibm10744195",
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}

CVE-2018-1665 (GCVE-0-2018-1665)

Vulnerability from cvelistv5 – Published: 2018-12-13 16:00 – Updated: 2024-09-17 03:02

Summary

IBM DataPower Gateway 7.6.0.0 through 7.6.0.10, 7.5.2.0 through 7.5.2.17, 7.5.1.0 through 7.5.1.17, 7.5.0.0 through 7.5.0.18, and 7.7.0.0 through 7.7.1.3 uses weaker than expected cryptographic algorithms that could allow an attacker to decrypt highly sensitive information. IBM X-Force ID: 144891.

Severity

5.9 (Medium)


                        
                          CVSS:3.0/A:N/AC:H/AV:N/C:H/I:N/PR:N/S:U/UI:N/E:U/RC:C/RL:O

CWE

Obtain Information

Assigner

ibm mitre root

References

2 references

URL	Tags
http://www.ibm.com/support/docview.wss?uid=ibm10744195	x_refsource_CONFIRM
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entryx_refsource_XF

Impacted products

1 product

Vendor	Product	Version
IBM	DataPower Gateway	Affected: 7.6.0.0 Affected: 7.6.0.10 Affected: 7.5.2.0 Affected: 7.5.2.17 Affected: 7.5.1.0 Affected: 7.5.1.17 Affected: 7.5.0.0 Affected: 7.7.0.0 Affected: 7.7.1.3 Affected: 7.5.0.18

Date Public

2018-12-11 00:00

Show details on NVD website

JSON

To clipboard

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            "attackVector": "NETWORK",
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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.