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VAR-202504-3999

Vulnerability from variot - Updated: 2025-05-15 23:19

A Server-side request forgery (SSRF) vulnerability has been identified in the SMA1000 Appliance Work Place interface, which in specific conditions could potentially enable a remote unauthenticated attacker to cause the appliance to make requests to an unintended location. SonicWALL of SMA1000 A server-side request forgery vulnerability exists in the firmware.Information may be obtained and information may be tampered with

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CVE-2025-2170 (GCVE-0-2025-2170)

Vulnerability from cvelistv5 – Published: 2025-04-30 18:46 – Updated: 2025-05-14 16:34

Summary

Severity

7.2 (High)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-01 13:19 UTC

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

sonicwall mitre root Scorecard

References

1 reference

URL	Tags
https://psirt.global.sonicwall.com/vuln-detail/SN…	vendor-advisory

Impacted products

1 product

Vendor	Product	Version
SonicWall	SMA1000	Affected: 12.4.3-02907 (platform-hotfix) and earlier versions

Date Public

2025-04-30 07:42

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.

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.

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VAR-202504-3999

CVE-2025-2170 (GCVE-0-2025-2170)

Tags

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Nomenclature

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