This technique, dubbed “Channel Triggered Backdoor Attack,” manipulates subtle variations in wireless signals to establish hidden communication pathways that bypass traditional security monitoring tools. Cybersecurity researchers have uncovered a sophisticated new attack method that exploits wireless communication channels to create covert backdoors, enabling threat actors to capture sensitive credentials without detection. Analysts from the Advanced Wireless Security Research Team, led by Jialin Wan, Nan Cheng, and Jinglong Shen, detected the vulnerability after observing anomalous patterns in wireless traffic across multiple compromised networks. Channel Triggered Backdoor Detection Algorithm demonstrates how the malware identifies specific signal patterns that activate the keylogging functionality. This detection mechanism is particularly effective because it operates at the physical layer of network communication, making it invisible to security solutions that focus on packet inspection or application-layer monitoring. The researchers recommend that organizations implement continuous wireless spectrum monitoring with advanced anomaly detection capabilities as the most effective countermeasure against this emerging threat. “What makes this attack particularly concerning is its ability to operate beneath the detection threshold of most security solutions,” noted Wan in their technical report. The attack presents significant risks to both enterprise and consumer networks as it can remain undetected by conventional intrusion detection systems while harvesting passwords and other sensitive data. Cyber Security News is a Dedicated News Platform For Cyber News, Cyber Attack News, Hacking News & Vulnerability Analysis. The researchers found that the attack primarily targets devices using common wireless protocols, including WiFi, Bluetooth, and even certain cellular connections. When the specific signal pattern is detected, the malware executes commands to capture keystrokes during password entry, creating a sophisticated side-channel for credential theft. Their investigation revealed that attackers had developed a method to encode commands within normal-appearing network traffic, effectively creating an invisible command-and-control channel. The core of the attack relies on intentional manipulation of wireless signal properties that normally fluctuate due to environmental factors. def detect_channel_trigger(signal_data, trigger_pattern): # Extract channel state information csi_data = extract_csi(signal_data) # Apply correlation detection algorithm correlation = signal. With years of experience under his belt in Cyber Security, he is covering Cyber Security News, technology and other news.
This Cyber News was published on cybersecuritynews.com. Publication date: Wed, 02 Apr 2025 10:25:06 +0000