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==============================================================")
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