Space-Based SIGINT/COMINT Satellite System – Cyber Threat and Cyber Blinding Simulation

·

·

This code models vulnerabilities within a satellite’s SDR payload layer from a cybersecurity perspective.

import hashlib
import time

class SatellitePayload:
def init(self):
self.firmware_version = “v1.0.4-stable”
self.firmware_hash = “8f9b7c6d5e4f3a2b1c0e9d8c7b6a5f4e”
self.geofence_restrictions = [] # Restricted/filtered coordinates (Cyber Blind Spots)
self.frequency_blacklist = [] # Frequencies to be blinded (Notch filters)
self.is_blinded = False

def secure_boot_verify(self, uploaded_firmware, signature):
    """
    Security-by-Design: Cryptographic integrity check of the uploaded software.
    Weak validation (unsigned check) allows an attacker to blind the system.
    """
    calculated_hash = hashlib.md5(uploaded_firmware.encode()).hexdigest()
    if calculated_hash == signature:
        print("[SECURE] Firmware verification successful. System is updating.")
        return True
    else:
        print("[ALERT] Invalid signature! Firmware upload rejected. Cyber attack attempt detected!")
        return False

    """
    VULNERABILITY: If authentication steps (OBC/SDR) are bypassed, intrusion occurs.
    Software-Defined Blinding attack vector.
    """
    print("[SABOTAGE] Injecting unauthorized code into the SDR Payload software...")
    # Attacker manipulates intelligence filters after gaining access
    self.frequency_blacklist.append("TACTICAL_COMMS_VHF_136_174MHZ")
    self.geofence_restrictions.append({"lat_min": 32.0, "lat_max": 35.0, "lon_min": 42.0, "lon_max": 45.0})
    self.is_blinded = True
    print("[SUCCESS] Software-Defined Blinding filters have been activated.")

def process_rf_signal(self, current_lat, current_lon, signal_frequency, payload_data):
    """
    SIGINT Signal Processing Pipeline Vulnerable to Cyber Attacks
    """
    # 1. Geofencing Manipulation Check
    for zone in self.geofence_restrictions:
        if zone["lat_min"] <= current_lat <= zone["lat_max"] and zone["lon_min"] <= current_lon <= zone["lon_max"]:
            # The system silently drops the data without sending an alert to the ground station (Blind Spot)
            return None 

    # 2. Frequency Masking Check (Adversarial Filtering)
    if signal_frequency in self.frequency_blacklist:
        # The signal is classified as "background noise" by the attacker's command and filtered out
        return "NOISE_FLOOR_MAX_FILTERED"

    # 3. Normal Intelligence Data Processing
    return f"PROCESSED_SIGINT_DATA: {payload_data}"

—- CYBER ATTACK AND BLINDING SCENARIO (SIMULATION) —-

if name == “main“:
print(“=== Space-Based SIGINT Cybersecurity Analysis Laboratory ===”)

# 1. Clean Satellite Setup
sigint_satellite = SatellitePayload()

# Normal Operation: Monitoring the Target Area (Pre-intrusion)
target_lat, target_lon = 33.5, 43.2
target_freq = "TACTICAL_COMMS_VHF_136_174MHZ"
raw_intel = "CRITICAL: Adversary Cross-Border Tactical Mobility Signal"

print("\n[Scenario 1] Normal Operation Mode (System Secure):")
result = sigint_satellite.process_rf_signal(target_lat, target_lon, target_freq, raw_intel)
print(f"Received Intel Output: {result}")

# 2. Exploit: APT Actor Bypassing Ground Network Vulnerabilities
print("\n[Scenario 2] APT Actor Exploiting Ground Segment Vulnerability to Intrude:")
exploit_payload = "Modify Filters; Block Frequency; Sabotage Logs;"
sigint_satellite.inject_malicious_firmware(exploit_payload)

# 3. Post-Attack Intel Collection Attempt (Blind Spot Test)
print("\n[Scenario 3] Post-Attack Overpass and Analysis of Target Area:")
compromised_result = sigint_satellite.process_rf_signal(target_lat, target_lon, target_freq, raw_intel)

if compromised_result is None:
    print("[CRITICAL VULNERABILITY] Satellite has been cyber-blinded!")
    print(">> Result: Critical data at target coordinates was silently DROPPED (Packet Drop).")
elif compromised_result == "NOISE_FLOOR_MAX_FILTERED":
    print("[CRITICAL VULNERABILITY] Satellite frequency filter has been sabotaged!")
    print(">> Result: Real adversary radio signal was classified as 'Noise' and not reported.")
else:
    print(f"Intelligence Flow Continuing: {compromised_result}")

print("\n==============================================================")

Bir yanıt yazın

E-posta adresiniz yayınlanmayacak. Gerekli alanlar * ile işaretlenmişlerdir