SneakPeeker is a tool designed to detect suspicious URLs in various file formats. It processes ZIP, DOCX, XLSX, PPTX, and PDF files to uncover hidden links that might indicate unauthorized access or data leaks.

• Scans directories and files for suspicious URLs
• Supports ZIP, DOCX, XLSX, PPTX, and PDF file formats
• Outputs found URLs to the console
• Optionally removes canary tokens from files
• Generates a JSON report file

1. Clone the repository:

git clone https://github.com/Lercas/SneakPeeker.git
cd SneakPeeker

2. Build the tool:

go build -o sneakpeeker main.go

Or you can install:

go install github.com/Lercas/[email protected]

./sneakpeeker [-f] [-r report_file] FILE_OR_DIRECTORY_PATH

-f: (Optional) Remove canary tokens from files. -r report_file: (Optional) Specify the name of the JSON report file. Default is report.json. FILE_OR_DIRECTORY_PATH: Path to the file or directory you want to scan.

Scan a directory and output results to the console:

./sneakpeeker /path/to/directory

Scan a file and output results to the console:

./sneakpeeker /path/to/file.docx

Scan a file and remove canary tokens:

./sneakpeeker -f /path/to/file.pdf

Scan a file and generate a JSON report:

./sneakpeeker -r myreport.json /path/to/file.pdf

How It Works

• PDF Files: Scans for URL patterns in decompressed PDF streams.
• ZIP, DOCX, XLSX, PPTX Files: Decompresses the files and scans for URL patterns in the extracted contents.

Example Output

[INFO] The file /path/to/file.docx is suspicious. URLs found:
http://suspicious-example.local
https://another-suspicious-example.local

[INFO] The file /path/to/anotherfile.pdf seems normal.

First, build the Docker image:

docker build -t canarycatcher:1.0 .

Then, run the container with volume mounting to access your files. For example, if you want to scan the /path/to/scan directory on your host, you can run:

docker run --rm -v /path/to/scan:/data canarycatcher:1.0 /data

If you want to use additional flags -f to remove canary tokens, you can do so as follows:

docker run --rm -v /path/to/scan:/data canarycatcher:1.0 -f /data

Example command to run with a JSON report:

docker run --rm -v /path/to/scan:/data canarycatcher:1.0 -r /data/report.json /data