Vulnerability-Lookup

CNVD-2022-87645

Vulnerability from cnvd - Published: 2022-12-15

Title

IBM Robotic Process Automation资源暴露于错误范围漏洞

Description

IBM Robotic Process Automation是美国国际商业机器（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 for Cloud Pak存在资源暴露于错误范围漏洞。攻击者利用该漏洞暴露受害者的电子邮件地址。

Severity

低

Patch Name

IBM Robotic Process Automation资源暴露于错误范围漏洞的补丁

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/6831787

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-42442

Impacted products

Name
IBM Robotic Process Automation for Cloud Pak <21.0.6

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2022-42442",
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}

CVE-2022-42442 (GCVE-0-2022-42442)

Vulnerability from cvelistv5 – Published: 2022-11-03 00:00 – Updated: 2025-05-05 13:21

Title

IBM Robotic Process Automation for Cloud Pak information disclosure

Summary

IBM Robotic Process Automation for Cloud Pak 21.0.1, 21.0.2, 21.0.3, 21.0.4, and 21.0.5 is vulnerable to exposure of the first tenant owner e-mail address to users with access to the container platform. IBM X-Force ID: 238214.

Severity

3.3 (Low)


                        
                          CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-05 13:20 UTC

CWE

Information Disclosure
CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor

Assigner

ibm mitre root

References

2 references

URL	Tags
https://www.ibm.com/support/pages/node/6831787	vendor-advisory
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entry

Impacted products

1 product

Vendor	Product	Version
IBM	Robotic Process Automation for Cloud Pak	Affected: 21.0.1, 21.0.2, 21.0.3, 21.0.4, 21.0.5

Show details on NVD website

JSON

To clipboard

{
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        ],
        "title": "CVE Program Container"
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              "attackComplexity": "LOW",
              "attackVector": "LOCAL",
              "availabilityImpact": "NONE",
              "baseScore": 3.3,
              "baseSeverity": "LOW",
              "confidentialityImpact": "LOW",
              "integrityImpact": "NONE",
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                  {
                    "Automatable": "no"
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                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-05-05T13:20:15.643618Z",
                "version": "2.0.3"
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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.