FacturaScripts Vulnerable to Unstripped Image Metadata (EXIF) Leakage via Library Module File Upload/Download

Why This Matters in an ERP Context

ERP platforms are used by businesses with multiple employees, contractors, clients, and sometimes external partners accessing shared resources. The Library module is inherently a collaborative, shared-access feature. Any image uploaded by one party is downloadable by many others — creating a one-to-many PII exposure vector.

Step-by-Step Reproduction

Prerequisites

• A valid user account with access to the Library module (tested with Admin role; lower-privilege roles should also be tested)
• A test image file containing rich EXIF/metadata (see Step 1)
• An EXIF analysis tool: exiftool (CLI), or any online EXIF viewer

Step 1: Prepare a Metadata-Rich Test Image

Create or obtain a JPEG image with embedded GPS and descriptive metadata. You can inject test metadata using exiftool:

exiftool \
  -GPSLatitude="48.8566" \
  -GPSLatitudeRef="N" \
  -GPSLongitude="2.3522" \
  -GPSLongitudeRef="E" \
  -GPSAltitude="35" \
  -UserComment="Confidential: Taken at employee home address" \
  -XPAuthor="John Doe" \
  -Make="Apple" \
  -Model="iPhone 15 Pro Max" \
  -DateTimeOriginal="2025:01:15 09:30:00" \
  test_image.jpg

Verify metadata is present:

exiftool test_image.jpg

Expected output should show all injected fields including GPS coordinates resolving to Paris, France (48.8566°N, 2.3522°E).

Step 2: Log in to Fectura Scripts

1. Navigate to the Fectura Scripts login page.
2. Authenticate with valid credentials.
3. Confirm access to the application dashboard.

Step 3: Navigate to the Library Section

1. From the main navigation/sidebar, click on "Library" (or equivalent menu entry).
2. Confirm the Library module loads and displays existing files/images (if any).

Step 4: Upload the Test Image

1. Click the "Upload" button/action within the Library interface.
2. Select the prepared test_image.jpg file.
3. Complete the upload process (fill any required fields such as title/description if prompted).
4. Confirm the image appears in the Library listing.

Step 5: Download the Image (as the Same or Different User)

1. Locate the uploaded image in the Library.
2. Click the "Download" button/link (or right-click → Save As on the rendered image, depending on UI).
3. Save the file locally as downloaded_image.jpg.

Note: For stronger proof of impact, perform this step logged in as a different user account with Library access, demonstrating cross-user information leakage.

Step 6: Extract and Analyze Metadata from the Downloaded File

Run exiftool on the downloaded file:

exiftool downloaded_image.jpg

Observed Result (Vulnerable):

GPS Latitude                    : 48 deg 51' 23.76" N
GPS Longitude                   : 2 deg 21' 7.92" E
GPS Altitude                    : 35 m
GPS Position                    : 48.8566°N, 2.3522°E
User Comment                    : Confidential: Taken at employee home address
XP Author                       : John Doe
Make                            : Apple
Model                           : iPhone 15 Pro Max
Date/Time Original              : 2025:01:15 09:30:00
...
[ALL original metadata preserved in full]

Expected Result (Secure):

All EXIF, XMP, IPTC, GPS, and comment fields should be stripped or neutralized before storage or at download time. Only essential image rendering data should remain.

Step 7: Confirm GPS Resolution to Physical Location

Take the extracted GPS coordinates and resolve them:

https://www.google.com/maps?q=48.8566,2.3522

This confirms the metadata resolves to a precise, real-world physical location — demonstrating the severity of the leak.

Root Cause Analysis

The application's image upload handler in the Library module stores the uploaded file byte-for-byte without any server-side processing to remove metadata. The download handler then serves the identical file. At no point in the pipeline is any of the following performed:

1. EXIF stripping (e.g., via libraries like Intervention Image, Imagick::stripImage(), Python Pillow's .save() without EXIF, or jpegtran -copy none)
2. Re-encoding / reprocessing of the image (which would naturally discard non-image data)
3. Selective metadata whitelisting (preserving only color profile / orientation data)
4. Content-Disposition header enforcement to prevent inline rendering with metadata intact

This is a design-level omission rather than a bypassable control — there is simply no metadata handling logic present.

Impact Assessment

Direct Impacts

Contextual / Escalated Impacts

• Regulatory Exposure: GPS coordinates and author names constitute personal data under GDPR (Art. 4(1)), CCPA, and similar frameworks. Failure to strip this data from shared/downloadable resources may constitute a data protection violation for organizations using Fectura Scripts.
• Insider Threat Amplification: A malicious insider (employee, contractor) with Library download access can silently harvest geolocation and identity data of colleagues without any logging or indication to the victim.
• Physical Security Risk: In sectors where employee physical safety is paramount (e.g., legal, law enforcement, journalism, NGOs, domestic violence support), leaking home GPS coordinates through an ERP system represents a direct physical safety threat.
• Supply Chain Risk: If the Library is shared with external partners/vendors, the exposure surface extends beyond the organization.

Why CVSS 6.5 Understates the Risk

The CVSS base score of 6.5 reflects the mechanical characteristics of the vulnerability (network-accessible, low complexity, authenticated). However, the contextual severity is higher because:

1. Users have no expectation that uploading an image to an ERP system will broadcast their home coordinates.
2. The attack is completely passive — the attacker simply downloads a file; no exploitation toolkit or special skills are required.
3. The leaked data (GPS, PII) is irrevocable — once downloaded, the victim cannot "un-leak" their location.
4. The vulnerability affects every image ever uploaded to the Library, creating a retroactive exposure of historical data.

Recommended effective severity: HIGH for any deployment handling real employee/client data.

Recommended Remediation

Immediate (Short-Term)

Implementation Guidance (by Language/Stack)

PHP (likely stack for Fectura Scripts):

// Using GD (built-in, no dependencies)
function stripMetadata($sourcePath, $destPath) {
    $image = imagecreatefromjpeg($sourcePath);
    imagejpeg($image, $destPath, 95); // Re-encodes, discarding all EXIF
    imagedestroy($image);
}

// Using Imagick (if available)
$img = new Imagick($sourcePath);
$img->stripImage(); // Removes all EXIF, IPTC, XMP profiles
$img->writeImage($destPath);

Python:

from PIL import Image
img = Image.open("uploaded.jpg")
data = list(img.getdata())
clean = Image.new(img.mode, img.size)
clean.putdata(data)
clean.save("clean.jpg")

Command-line (for retroactive cleanup):

# Strip all metadata from all JPEGs in the library storage directory
exiftool -all= -overwrite_original /path/to/library/uploads/*.jpg

Long-Term (Architectural)

9. References

11. Conclusion

The absence of image metadata sanitization in Fectura Scripts' Library module is a clear, easily exploitable, and high-impact information disclosure vulnerability. It requires no technical skill to exploit (just a file download and a free tool), it leaks data that users never intended to share (home GPS coordinates, personal identity), and it affects every image ever uploaded to the platform retroactively.

While the CVSS base score of 6.5 categorizes this as "Medium," the real-world privacy consequences — particularly under GDPR and in contexts where physical safety is relevant — warrant treating this with High urgency. The fix is straightforward, well-documented, and should be implemented immediately across all upload endpoints.