CVE-2025-12276
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-10-27

Last updated on: 2026-04-29

Assigner: VulDB

Description
A vulnerability was detected in LearnHouse up to 98dfad76aad70711a8113f6c1fdabfccf10509ca. Affected by this issue is some unknown functionality of the component Image Handler. The manipulation results in information disclosure. The attack can be executed remotely. The exploit is now public and may be used. This product implements a rolling release for ongoing delivery, which means version information for affected or updated releases is unavailable. The vendor was contacted early about this disclosure but did not respond in any way.
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Meta Information
Published
2025-10-27
Last Modified
2026-04-29
Generated
2026-05-07
AI Q&A
2025-10-27
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
learnhouse learnhouse to 2025-09-21 (inc)
Helpful Resources
Exploitability
CWE
CWE Icon
KEV
KEV Icon
CWE ID Description
CWE-284 The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor.
CWE-200 The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.
CWE-NVD-CWE-noinfo
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?

CVE-2025-12276 is an information disclosure vulnerability in the LearnHouse platform affecting the Image Handler component. The platform fails to remove EXIF metadata from uploaded images, which can include sensitive information such as GPS coordinates, device details, camera specifics, and timestamps. This metadata remains accessible when images are downloaded, allowing unauthorized remote attackers to extract private user information without needing local access. The vulnerability exposes confidential data embedded in images uploaded as profile pictures or course content. [1, 2, 3]


How can this vulnerability impact me? :

This vulnerability can lead to significant privacy risks by exposing sensitive user information embedded in image metadata. Attackers can obtain GPS locations, device and camera details, and timestamps from images, potentially revealing users' home addresses, daily routines, and other personal data. This can result in doxxing, stalking, targeted harassment, and compromise of safety, especially for students and teachers, including minors. Since LearnHouse courses and images can be publicly accessible and indexed by search engines, the risk of exploitation is heightened. [2, 3]


How can this vulnerability be detected on my network or system? Can you suggest some commands?

This vulnerability can be detected by identifying images uploaded to the LearnHouse platform that contain EXIF metadata. You can download images from the platform and analyze them using standard EXIF metadata viewers or command-line tools. For example, you can use the 'exiftool' command to inspect images for embedded metadata: 1) Download suspect images from the platform. 2) Run 'exiftool image.jpg' to view metadata such as GPS coordinates, device details, and timestamps. If metadata is present, the vulnerability exists. Additionally, monitoring network traffic for image uploads and downloads may help identify exploitation attempts. [2, 3]


What immediate steps should I take to mitigate this vulnerability?

Immediate mitigation steps include implementing server-side stripping of EXIF metadata from all uploaded images before storage or serving. This prevents sensitive information leakage. Recommended libraries for metadata removal are: Node.js - sharp (recommended), exif-remover, jimp; Python - Pillow with metadata removal; PHP - Imagick with stripImage(). The solution should remove all EXIF, IPTC, and XMP metadata except for image orientation data. Since the vendor has not provided patches or mitigations, consider replacing or modifying the affected component to sanitize images on upload. [2]


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