Vulnerability-Lookup

CNVD-2021-69949

Vulnerability from cnvd - Published: 2021-09-10

Title

IBM Security SOAR信息泄露漏洞

Description

IBM Security SOAR是美国IBM公司的一款产品，前身为Resilient。旨在帮助您的安全团队自信地应对网络威胁、通过智能实现自动化并通过一致性进行协作。 IBM Security SOAR存在信息泄露漏洞，该漏洞源于应用使用的加密算法比预期的要弱，攻击者可利用该漏洞解密高度敏感的信息。

Severity

中

Patch Name

IBM Security SOAR信息泄露漏洞的补丁

Patch Description

IBM Security SOAR是美国IBM公司的一款产品，前身为Resilient。旨在帮助您的安全团队自信地应对网络威胁、通过智能实现自动化并通过一致性进行协作。 IBM Security SOAR存在信息泄露漏洞，该漏洞源于应用使用的加密算法比预期的要弱，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： https://www.ibm.com/support/pages/node/6482585

Reference

https://exchange.xforce.ibmcloud.com/vulnerabilities/200660

Impacted products

Name
IBM Security SOAR

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2021-29704"
    }
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  "description": "IBM Security SOAR\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u6b3e\u4ea7\u54c1\uff0c\u524d\u8eab\u4e3aResilient\u3002\u65e8\u5728\u5e2e\u52a9\u60a8\u7684\u5b89\u5168\u56e2\u961f\u81ea\u4fe1\u5730\u5e94\u5bf9\u7f51\u7edc\u5a01\u80c1\u3001\u901a\u8fc7\u667a\u80fd\u5b9e\u73b0\u81ea\u52a8\u5316\u5e76\u901a\u8fc7\u4e00\u81f4\u6027\u8fdb\u884c\u534f\u4f5c\u3002\n\nIBM Security SOAR\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u4f7f\u7528\u7684\u52a0\u5bc6\u7b97\u6cd5\u6bd4\u9884\u671f\u7684\u8981\u5f31\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u89e3\u5bc6\u9ad8\u5ea6\u654f\u611f\u7684\u4fe1\u606f\u3002",
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  "number": "CNVD-2021-69949",
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  "patchName": "IBM Security SOAR\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
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  "referenceLink": "https://exchange.xforce.ibmcloud.com/vulnerabilities/200660",
  "serverity": "\u4e2d",
  "submitTime": "2021-08-25",
  "title": "IBM Security SOAR\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2021-29704 (GCVE-0-2021-29704)

Vulnerability from cvelistv5 – Published: 2021-08-23 16:05 – Updated: 2024-09-16 20:43

Summary

IBM Security SOAR uses weaker than expected cryptographic algorithms that could allow an attacker to decrypt highly sensitive information.

Severity

5.9 (Medium)


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

CWE

Obtain Information

Assigner

ibm mitre root

References

2 references

URL	Tags
https://www.ibm.com/support/pages/node/6482585	x_refsource_CONFIRM
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entryx_refsource_XF

Impacted products

1 product

Vendor	Product	Version
IBM	Security	Affected: SOAR

Date Public

2021-08-19 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.