Vulnerability-Lookup

VAR-201805-0651

Vulnerability from variot - Updated: 2024-11-23 22:17

download.rsp on ShenZhen Anni "5 in 1 XVR" devices allows remote attackers to download the configuration (without a login) to discover the password. ShenZhen Anni 5 in 1 XVR The device contains an information disclosure vulnerability.Information is acquired, information is falsified, and denial of service (DoS) May be in a state. Anni5in1XVR is a multi-functional DVR device from China's Anni Digital Technology. A security vulnerability exists in the download.rsp file on the Anni5in1XVR device

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CVE-2018-10770 (GCVE-0-2018-10770)

Vulnerability from cvelistv5 – Published: 2018-05-09 18:00 – Updated: 2024-08-05 07:46

Summary

download.rsp on ShenZhen Anni "5 in 1 XVR" devices allows remote attackers to download the configuration (without a login) to discover the password.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2260 records in the last 180 days details

References

2 references

URL	Tags
https://github.com/D0neMkj/EXP_IOT/tree/master/CA…	x_refsource_MISC
https://github.com/D0neMkj/EXP_IOT/blob/master/CA…	x_refsource_MISC

Date Public

2018-05-09 00:00

Show details on NVD website

JSON

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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

Order JSON

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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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