Vulnerability-Lookup

VAR-202301-0493

Vulnerability from variot - Updated: 2025-04-10 23:21

There is a SQL injection vulnerability in Some ZTE Mobile Internet products. Due to insufficient validation of the input parameters of the SNTP interface, an authenticated attacker could use the vulnerability to execute stored XSS attacks. ZTE MF286R firmware and MF289D Firmware has a cross-site scripting vulnerability.Information may be obtained and information may be tampered with

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CVE-2022-39072 (GCVE-0-2022-39072)

Vulnerability from cvelistv5 – Published: 2023-01-06 00:00 – Updated: 2025-04-10 13:47

Summary

Severity

5.4 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-10 13:46 UTC

CWE

SQL injection
CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

zte CNA under the mitre root

CNA scorecard C 69/100 over 34 records in the last 180 days details

References

1 reference

URL	Tags
https://support.zte.com.cn/support/news/LoopholeI…

Impacted products

1 product

Vendor	Product	Version
n/a	MF286R,MF289D	Affected: Nordic_MF286R_B06, CR_TMOCZMF289DV1.0.0B07

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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