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CNVD-2022-56654

Vulnerability from cnvd - Published: 2022-08-12

Title

IBM Robotic Process Automation存在未明漏洞

Description

IBM Robotic Process Automation是美国IBM公司的一种机器人流程自动化产品。可帮助您以传统 RPA 的轻松和速度大规模自动化更多业务和 IT 流程。 IBM Robotic Process Automation 21.0.0版本、21.0.1版本、21.0.2版本存在安全漏洞。攻击者利用该漏洞可获取敏感的Azure机器人凭据信息。

Severity

中

Patch Name

IBM Robotic Process Automation存在未明漏洞的补丁

Patch Description

Formal description

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://www.ibm.com/support/pages/node/6610397

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-22490

Impacted products

Name
['IBM Robotic Process Automation 21.0.1', 'IBM Robotic Process Automation 21.0.2', 'IBM Robotic Process Automation 21.0.0']

Show details on source website

JSON

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CVE-2022-22490 (GCVE-0-2022-22490)

Vulnerability from cvelistv5 – Published: 2022-08-10 16:50 – Updated: 2024-09-16 23:11

Summary

IBM Robotic Process Automation 21.0.0, 21.0.1, and 21.0.2 could allow a privileged user to obtain sensitive Azure bot credential information. IBM X-Force ID: 226342.

Severity

4.4 (Medium)


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

CWE

Obtain Information

Assigner

ibm mitre root

References

2 references

URL	Tags
https://www.ibm.com/support/pages/node/6610397	x_refsource_CONFIRM
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entryx_refsource_XF

Impacted products

1 product

Vendor	Product	Version
IBM	Robotic Process Automation	Affected: 21.0.0 Affected: 21.0.1 Affected: 21.0.2

Date Public

2022-08-04 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.