ctf-misc-audio-forensics

To decode Morse code from an audio file, this Skill performs audio event segmentation to isolate the signal patterns and automatically translates them into text. It processes standard Morse and Wabun code directly from the audio track.

Yes, you can use FFT spectrogram analysis to find hidden messages in WAV files. This Skill utilizes Fast Fourier Transform spectrograms to visualize frequencies, revealing concealed text or data within the audio spectrum.

The best way to extract data from a custom audio container is through audio container reversing. This Skill reverse-engineers custom audio formats to recover encrypted data or flags embedded within the file structure.

Yes, you need scipy, numpy, and ffmpeg installed to perform audio forensics with this Skill. These dependencies are strictly required to execute the underlying audio processing, event segmentation, and analysis operations.

To segment audio events like chirps, this Skill automatically identifies and splits the audio track based on distinct sound characteristics. This isolation allows for precise analysis of individual audio events and hidden signals.