CVE-2024-53704 (GCVE-0-2024-53704)
Vulnerability from cvelistv5 – Published: 2025-01-09 06:52 – Updated: 2026-08-04 03:55Summary
An Improper Authentication vulnerability in the SSLVPN authentication mechanism allows a remote attacker to bypass authentication.
Severity
8.2 (High)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-18 00:00 UTC
CWE
- CWE-287 - Improper Authentication
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://psirt.global.sonicwall.com/vuln-detail/SN… | vendor-advisory |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
Date Public
2025-01-08 06:46
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: ca1ba122-681e-449f-9c2f-01ea022eb80b
Exploited: Yes
Timestamps
First Seen: 2025-02-18
Asserted: 2025-02-18
Scope
Notes: KEV entry: SonicWall SonicOS SSLVPN Improper Authentication Vulnerability | Affected: SonicWall / SonicOS | Description: SonicWall SonicOS contains an improper authentication vulnerability in the SSLVPN authentication mechanism that allows a remote attacker to bypass authentication. | Required action: Apply mitigations per vendor instructions or discontinue use of the product if mitigations are unavailable. | Due date: 2025-03-11 | Known ransomware campaign use (KEV): Known | Notes (KEV): https://psirt.global.sonicwall.com/vuln-detail/SNWLID-2025-0003 ; https://nvd.nist.gov/vuln/detail/CVE-2024-53704
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-287 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | SonicOS |
| Due Date | 2025-03-11 |
| Date Added | 2025-02-18 |
| Vendorproject | SonicWall |
| Vulnerabilityname | SonicWall SonicOS SSLVPN Improper Authentication Vulnerability |
| Knownransomwarecampaignuse | Known |
References
Created: 2026-02-02 13:24 UTC
| Updated: 2026-02-06 07:53 UTC
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 43b0e675-4de9-452c-8582-6e1a5b9fa523
Exploited: Yes
Characteristics
Severity:
82.0
Timestamps
First Seen: 2025-02-24
Asserted: 2025-02-24
Last Seen: 2026-09-06
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: SonicWall / SonicOS | Class: firewall | Severity: High (CVSS 8.2) | IoT: no | In CISA KEV: yes | Honeypot connections on 2026-09-06: 66
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 3 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | firewall |
| 7D Avg | 1 |
| Vendor | SonicWall |
| 30D Avg | 1 |
| 90D Avg | 2 |
| Product | SonicOS |
| Cisa Kev | yes |
| Connections | 66 |
| Observation Date | 2026-09-06 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 8.2 |
| Vulnerability Severity | High |
References
Created: 2026-07-01 05:53 UTC
| Updated: 2026-09-08 01:00 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 86f6ee92-3d0f-4f7d-a77e-43148934c543
Exploited: Yes
Timestamps
First Seen: 2025-02-18
Asserted: 2025-02-18
Scope
Notes: KEVIntel entry: An Improper Authentication vulnerability in the SSLVPN authentication mechanism allows a remote attacker to bypass authentication. | Affected: SonicWall / SonicOS | CVSS: 9.8 (CRITICAL) | EPSS: 0.95132 | Used in malware: yes | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Confirmed Compromise
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | An Improper Authentication vulnerability in the SSLVPN authentication mechanism allows a remote attacker to bypass authentication. |
| Vendor | SonicWall |
| Product | SonicOS |
| Added Date | 2025-02-18T00:00:00.000Z |
| Cvss Score | 9.8 |
| Epss Score | 0.95132 |
| Cvss Severity | CRITICAL |
| Epss Percentile | 0.99854 |
| Used In Malware | yes |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 11:14 UTC
| Updated: 2026-06-23 11:14 UTC
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],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unknown",
"platforms": [
"Gen7 Hardware",
"Gen7 NSv",
"TZ80"
],
"product": "SonicOS",
"vendor": "SonicWall",
"versions": [
{
"status": "affected",
"version": "7.1.1-7058 and older versions"
},
{
"status": "affected",
"version": "7.1.2-7019"
},
{
"status": "affected",
"version": "8.0.0-8035"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "reporter",
"value": "Daan Keuper, Thijs Alkemade and Khaled Nassar of Computest Security through Trend Micro (Zero Day Initiative)"
}
],
"datePublic": "2025-01-08T06:46:00.000Z",
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eAn Improper Authentication vulnerability in the SSLVPN authentication mechanism allows a remote attacker to bypass authentication.\u003c/span\u003e"
}
],
"value": "An Improper Authentication vulnerability in the SSLVPN authentication mechanism allows a remote attacker to bypass authentication."
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-287",
"description": "CWE-287 Improper Authentication",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-01-09T06:52:16.771Z",
"orgId": "44b2ff79-1416-4492-88bb-ed0da00c7315",
"shortName": "sonicwall"
},
"references": [
{
"tags": [
"vendor-advisory"
],
"url": "https://psirt.global.sonicwall.com/vuln-detail/SNWLID-2025-0003"
}
],
"source": {
"advisory": "SNWLID-2025-0003",
"discovery": "EXTERNAL"
},
"x_generator": {
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}
}
},
"cveMetadata": {
"assignerOrgId": "44b2ff79-1416-4492-88bb-ed0da00c7315",
"assignerShortName": "sonicwall",
"cveId": "CVE-2024-53704",
"datePublished": "2025-01-09T06:52:16.771Z",
"dateReserved": "2024-11-22T09:54:04.964Z",
"dateUpdated": "2026-08-04T03:55:44.407Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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