CVE-2025-32819 (GCVE-0-2025-32819)
Vulnerability from cvelistv5 – Published: 2025-05-07 17:18 – Updated: 2026-02-26 18:28Summary
A vulnerability in SMA100 allows a remote authenticated attacker with SSLVPN user privileges to bypass the path traversal checks and delete an arbitrary file potentially resulting in a reboot to factory default settings.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-19 03:55 UTC
CWE
- CWE-552 - Files or Directories Accessible to External Parties
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://psirt.global.sonicwall.com/vuln-detail/SN… | vendor-advisory |
| https://old.rapid7.com/blog/post/2025/05/07/multi… |
Impacted products
Date Public
2025-05-07 17:13
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 15e65e66-2737-435e-810e-d516f3721fc5
Exploited: Yes
Timestamps
First Seen: 2025-07-16
Asserted: 2025-07-16
Scope
Notes: KEVIntel entry: A vulnerability in SMA100 allows a remote authenticated attacker with SSLVPN user privileges to bypass the path traversal checks and delete an... | Affected: SonicWall / SMA100 | CVSS: 8.8 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | A vulnerability in SMA100 allows a remote authenticated attacker with SSLVPN user privileges to bypass the path traversal checks and delete an... |
| Vendor | SonicWall |
| Product | SMA100 |
| Added Date | 2025-07-16T17:25:30.000Z |
| Cvss Score | 8.8 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-06-23 11:12 UTC
| Updated: 2026-06-23 11:12 UTC
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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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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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