Vulnerability-Lookup

VAR-202106-1312

Vulnerability from variot - Updated: 2024-08-14 14:31

A denial of service condition exists after an integer overflow in several IoT devices from CHIYU Technology, including BIOSENSE, Webpass, and BF-630, BF-631, and SEMAC. The vulnerability can be explored by sending an unexpected integer (> 32 bits) on the page parameter that will crash the web portal and making it unavailable until a reboot of the device. Chiyu CHIYU BF-430 is a network server provided by Chiyu Technology (Chiyu) of Taiwan, China, which provides communication for access control, time and attendance systems and other equipment. The following products and versions are affected: BIOSENSE, Webpass, and BF-630, BF-631, SEMAC

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CVE-2021-31642 (GCVE-0-2021-31642)

Vulnerability from cvelistv5 – Published: 2021-06-01 14:13 – Updated: 2024-08-03 23:03

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2358 records in the last 180 days details

References

4 references

URL	Tags
https://gitbook.seguranca-informatica.pt/cve-and-…	x_refsource_MISC
https://seguranca-informatica.pt/dancing-in-the-i…	x_refsource_MISC
https://www.chiyu-tech.com/msg/message-Firmware-u…	x_refsource_MISC
http://packetstormsecurity.com/files/162934/CHIYU…	x_refsource_MISC

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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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