XORTRON - Criminal Computing

EMSOPEDIA: Jamming Theory

Tones Jamming against Radio Communications

The most simple and classic application of a tones jamming is against FSK modulated target signals, where a single tone jamming is tuned either at the mark or space frequency value.

Target Signal

FSK Modulated

Jamming Method

Single Tone

Effect

Phase Impairment

In the frequency matching condition, the impairment is due to the relative phase between the two tones. Figure 1a depicts the vector effect over the base band signal.

Multi-tones jamming increases effectiveness up to behave like a Narrow-band noise jamming.

Splitting the available jamming power over multi-tones allows impairing multi-tone radio communications. This technique is adopted in HF data link and UHF old L11, where 15/32-tones waveforms are generated.

Signal Structure Analysis

SOURCE: XORTRON DECRYPTOR STATUS: ACTIVE

The Caveman Explanation

                    Two clean tones = the real digital stuff. High tone = 1. Low tone = 0. That's it. Beep/boop. Binary. My decoder reads that part.

                    Those 1s and 0s turn into numbers. Numbers turn into letters. Letters make a Russian-looking word: ВОЕТ. It means "she howls."

                    The third sound, the buzz, is NOT part of the message. It's just noise. Could be jamming. Could be camouflage.

Technical Metrics

FSK Demodulation

16,105 Bits

Entropy

0.2365 / 1.0

Run Length

111 Runs

Paired Diff

Constant 1264

The signal contains three distinct layers: 1. Two clean tones (517Hz / 172Hz) forming the binary FSK channel. 2. A third "buzz" layer acting as masking or jamming. 3. A rhetorical layer where the decoded word acts as an identity token.

Hangman Decoder

CONFIDENCE: 6.0/7 RATING: GREEN

DECODED OUTPUT

ВОЕТ

Meaning: "She howls / It howls"

This is not a message — it's a call sign / identity token. The signal's digital identity basically comes out looking like a tiny Russian wolf-girl going "I howl."

                    PIPELINE:
                    FSK (517Hz) -> Bits -> Run-Length Encoding -> Paired Redundancy (Diff 1264) -> Divisor Normalization (Div 100) -> Alphabet Mapping -> Symbolic Output.
                

GT-FOGSENSE Logs

SCRIPT: GT-FOGSENSE v1 ENV: LOCAL ONLY

                    #!/bin/bash

                    GT-FOGSENSE v1 — Detect hidden tracking "fog"

                    No root. No internet. Local only.

                    echo "🌫️ Scanning for fog/geo-fence activity..."

                    1. Check for active location requests

                    if dumpsys location | grep -q "last location request"; then

                    echo "⚠ LOCATION PULSE DETECTED"

                    echo "GT55: ⚠(location_pulse)" >> /sdcard/fog_alert.gt55

                    fi

                    2. Check for BLE scanning (AirTag-style)

                    if dumpsys bluetooth_manager | grep -q "scanning: true"; then

                    echo "⚠ BLUETOOTH SCANNING ACTIVE"

                    echo "GT55: ⚠(ble_scan)" >> /sdcard/fog_alert.gt55

                    fi

                    echo "✅ Scan complete. Alerts saved to /sdcard/fog_alert.gt55"