CVE-2023-34124 (GCVE-0-2023-34124)
Vulnerability from cvelistv5 – Published: 2023-07-13 00:14 – Updated: 2025-04-08 15:23Summary
The authentication mechanism in SonicWall GMS and Analytics Web Services had insufficient checks, allowing authentication bypass. This issue affects GMS: 9.3.2-SP1 and earlier versions; Analytics: 2.5.0.4-R7 and earlier versions.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-30 18:53 UTC
CWE
- CWE-305 - Authentication Bypass by Primary Weakness
Assigner
References
3 references
Impacted products
Date Public
2023-07-12 23:07
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 1c6e775e-eeec-4b1d-827f-7e4dfca1f60c
Exploited: Yes
Timestamps
First Seen: 2026-08-26
Asserted: 2026-08-26
Scope
Notes: The authentication mechanism in SonicWall GMS and Analytics Web Services had insufficient checks, allowing authentication bypass. This issue... | Affected: SonicWall / GMS, Analytics | CVSS: 9.8 (CRITICAL) | EPSS: 0.49077 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | The authentication mechanism in SonicWall GMS and Analytics Web Services had insufficient checks, allowing authentication bypass. This issue... |
| Vendor | SonicWall |
| Product | GMS, Analytics |
| Added Date | 2026-08-26T19:22:51.939Z |
| Cvss Score | 9.8 |
| Epss Score | 0.49077 |
| Cvss Severity | CRITICAL |
| Epss Percentile | 0.98793 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-08-27 20:00 UTC
| Updated: 2026-08-27 20:00 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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