Vulnerability-Lookup

VAR-202110-0959

Vulnerability from variot - Updated: 2023-12-18 11:57

InHand Networks IR615 Router's Versions 2.3.0.r4724 and 2.3.0.r4870 authentication process response indicates and validates the existence of a username. This may allow an attacker to enumerate different user accounts. InHand Networks IR615 Router Exists in observable mismatch vulnerabilities.Information may be obtained. Ruimu Technology IR615 Router is a 4G industrial router of China Ruimu Technology Company

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CVE-2021-38476 (GCVE-0-2021-38476)

Vulnerability from cvelistv5 – Published: 2021-10-19 12:10 – Updated: 2024-09-16 16:17

Title

InHand Networks IR615 Router

Summary

Severity

6.5 (Medium)


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

CWE

CWE-204 - OBSERVABLE RESPONSE DISCREPANCY CWE-204

Assigner

icscert icscert root

References

1 reference

URL	Tags
https://us-cert.cisa.gov/ics/advisories/icsa-21-280-05	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
InHand Networks	IR615 Router	Affected: 2.3.0.r4724 and 2.3.0.r4870

Date Public

2021-10-07 00:00

Credits

Haviv Vaizman, Hay Mizrachi, Alik Koldobsky, Ofir Manzur, and Nikolay Sokolik of OTORIO reported these vulnerabilities to CISA.

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.