Vulnerability-Lookup

VAR-202205-1522

Vulnerability from variot - Updated: 2023-12-18 13:00

TOTOLINK A3100R V4.1.2cu.5050_B20200504 and V4.1.2cu.5247_B20211129 were discovered to contain a hard coded password for the telnet service stored in the component /web_cste/cgi-bin/product.ini. TOTOLINK A3100R is a series of wireless routers from the Chinese company TOTOLINK.

TOTOLINK A3100R V4.1.2cu.5050_B20200504 and V4.1.2cu.5247_B20211129 have a trust management issue vulnerability that stems from a hardcoded password in the component /web_cste/cgi-bin/product.ini. No detailed vulnerability details are currently provided

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CVE-2022-29644 (GCVE-0-2022-29644)

Vulnerability from cvelistv5 – Published: 2022-05-18 11:50 – Updated: 2024-08-03 06:26

Summary

TOTOLINK A3100R V4.1.2cu.5050_B20200504 and V4.1.2cu.5247_B20211129 were discovered to contain a hard coded password for the telnet service stored in the component /web_cste/cgi-bin/product.ini.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/shijin0925/IOT/blob/master/TOT…	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.

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.