CVE-2025-64095 (GCVE-0-2025-64095)

Vulnerability from cvelistv5 – Published: 2025-10-28 21:46 – Updated: 2025-10-29 14:51
VLAI Shadowserver KEVIntel
Title
DNN Insufficient Access Control - Image Upload allows for Site Content Overwrite
Summary
DNN (formerly DotNetNuke) is an open-source web content management platform (CMS) in the Microsoft ecosystem. Prior to 10.1.1, the default HTML editor provider allows unauthenticated file uploads and images can overwrite existing files. An unauthenticated user can upload and replace existing files allowing defacing a website and combined with other issue, injection XSS payloads. This vulnerability is fixed in 10.1.1.
Severity
10 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-434 - Unrestricted Upload of File with Dangerous Type
Assigner
References
Impacted products
Vendor Product Version
dnnsoftware Dnn.Platform Affected: < 10.1.1
Create a notification for this product.
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 7b9d2e33-01ab-49b1-b90a-d771f8f121ee

Vulnerability ID: CVE-2025-64095

Status: Confirmed

Status Updated: 2026-07-08 00:00 UTC

Exploited: Yes

Characteristics
Severity: 98.0
Timestamps
First Seen: 2026-02-23
Asserted: 2026-02-23
Last Seen: 2026-07-08
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: DNN Corp / DNN (DotNetNuke) | Class: cms | Severity: Critical (CVSS 9.8) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-07-08: 2
Evidence

Type: Honeypot

Signal: In The Wild Attempts

Confidence: 70%

Source: shadowserver

Details
1D 2
Iot no
Feed Shadowserver Foundation honeypot/exploited-vulnerabilities
Type http-scan
Class cms
7D Avg 0
Vendor DNN Corp
30D Avg 0
90D Avg 1
Product DNN (DotNetNuke)
Cisa Kev no
Connections 2
Observation Date 2026-07-08
Vulnerability Class CVSS
Vulnerability Score 9.8
Vulnerability Severity Critical
References
Created: 2026-06-30 09:23 UTC | Updated: 2026-07-10 01:00 UTC
KEVIntel
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: f5403545-e76e-4e05-bc06-eae176a792ca

Vulnerability ID: CVE-2025-64095

Status: Confirmed

Status Updated: 2025-10-28 21:46 UTC

Exploited: Yes

Timestamps
First Seen: 2025-10-28
Asserted: 2025-10-28
Scope
Notes: KEVIntel entry: DNN Insufficient Access Control - Image Upload allows for Site Content Overwrite | Affected: dnnsoftware / Dnn.Platform | CVSS: 10.0 (CRITICAL) | 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 DNN Insufficient Access Control - Image Upload allows for Site Content Overwrite
Vendor dnnsoftware
Product Dnn.Platform
Added Date 2025-10-28T21:46:11.000Z
Cvss Score 10.0
Epss Score None
Cvss Severity CRITICAL
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True
References
Created: 2026-06-23 14:03 UTC | Updated: 2026-07-10 06:14 UTC
Show details on NVD website
To clipboard 

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Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.