Malik Haidar is a veteran cybersecurity expert who has spent years in the trenches of multinational corporations, dismantling complex threats that bridge the gap between technical exploits and business risk. With a background that spans deep intelligence analytics and network security architecture, he specializes in identifying the fingerprints of sophisticated state-sponsored actors. His work focuses on the strategic integration of threat intelligence into corporate defense, ensuring that security isn’t just a technical hurdle but a resilient business asset.
This conversation delves into the sophisticated tradecraft of Red Menshen, a China-linked threat group that has mastered the art of “living in the wires” of global telecommunications providers. We explore the mechanics of BPFDoor and its kernel-level evasion techniques, the vulnerabilities inherent in edge infrastructure, and the alarming shift toward monitoring telecom-native protocols for individual surveillance. The discussion also covers the architectural evolution of modern implants and the movement of the frontline of cyber espionage into deep-stack environments like container runtimes and bare-metal systems.
BPFDoor operates within the kernel via Berkeley Packet Filter functionality instead of opening standard ports. How does this “sleeper cell” approach complicate traditional detection, and what specific steps must security teams take to identify these passive magic packet triggers?
This “sleeper cell” approach is a nightmare for traditional security because it essentially makes the malware invisible to standard network scanners. Since BPFDoor doesn’t open a listening port, a typical port scan will show a completely closed system, giving administrators a false sense of security. It sits directly inside the kernel, sniffing every incoming packet at the lowest level before the operating system even decides what to do with it. To catch this, security teams have to move away from looking for open doors and start looking for the “magic” knock. You need to deploy deep packet inspection (DPI) to look for that specific, predefined trigger packet that wakes the implant up. It’s about monitoring for anomalies in raw socket behavior and using kernel-level auditing tools like eBPF itself or Auditd to see if something is hooking into the network stack where it doesn’t belong.
Organizations often face vulnerabilities in edge devices like VPN appliances and firewalls. Once initial access is achieved, what does the typical post-exploitation progression look like, and how do frameworks like CrossC2 or Sliver facilitate lateral movement within these high-performance environments?
Once an actor like Red Menshen hits a vulnerable edge device—be it an Ivanti VPN or a Fortinet firewall—they don’t just sit there; they immediately begin turning that foothold into a command center. They drop Linux-compatible frameworks like CrossC2 or Sliver, which are incredibly modular and designed to blend into high-performance traffic. These frameworks allow them to perform credential harvesting and brute-force attacks on internal systems almost instantly. I’ve seen cases where they use these tools to spawn remote shells that look like legitimate administrative tasks, moving laterally through the network with terrifying speed. By the time the security team notices a spike in internal traffic, the attackers have already mapped the architecture and planted persistence across multiple internal hosts.
Modern implants now support the Stream Control Transmission Protocol (SCTP) to monitor telecom-native traffic. What are the broader implications for individual privacy when adversaries can track subscriber locations, and how does this capability change the strategic value of compromising a telecommunications backbone?
The shift toward SCTP monitoring is a massive escalation because it moves the threat from data theft to physical surveillance. When an adversary can tap into the telecom backbone, they aren’t just reading emails; they are seeing the signaling data that coordinates 4G and 5G networks. This means they can track the real-time location of specific subscribers, effectively turning a person’s cell phone into a high-precision beacon. For a state-sponsored actor, the strategic value is immense because it allows them to follow the movements of government officials or dissidents without ever touching their actual devices. It turns the entire national infrastructure into a giant surveillance net, where privacy is bypassed at the protocol level rather than the application level.
Advanced backdoors use HTTPS camouflage and fixed byte offsets to hide activation commands within legitimate-looking traffic. How do these architectural shifts bypass modern traffic analysis tools, and what role does ICMP-based internal communication play in maintaining a low-profile presence?
The use of fixed byte offsets within HTTPS traffic is a brilliant bit of tradecraft designed to defeat pattern-matching engines. By hiding a “magic” string like “9999” at a specific location inside an encrypted request, the implant can identify its command without altering the packet’s structure or size, which keeps it from triggering anomalies in traffic flow. Standard analysis tools often ignore the “noise” inside these packets, especially if the certificate looks valid. Meanwhile, using ICMP—the protocol meant for basic pings—for internal communication between infected hosts allows the attackers to talk to each other without opening new TCP connections. It’s incredibly low-profile; to a casual observer, it just looks like the network is checking its own health, while in reality, the “pings” are carrying instructions between compromised servers.
There is a growing trend of embedding malware into container runtimes and bare-metal systems. How are these deep-stack environments becoming the new front line for persistent espionage, and what specific anomalies should organizations monitor that traditional endpoint tools might miss?
We are seeing the frontline move down the stack because traditional endpoint detection and response (EDR) tools often lose visibility once you get into virtualization layers and container runtimes. These environments are the new “blind spots” where attackers can hide for months because they provide the perfect terrain for long-term persistence. To defend this, organizations need to monitor for deviations in system call patterns and unauthorized changes to container images. You should be looking for things like unexpected raw socket creation or unusual CPU spikes in idle containers, which are sensory red flags that something is running in the background. If a bare-metal server starts making ICMP requests to a neighboring database it has no business talking to, that’s your smoking gun, but you won’t see it if you’re only looking at the application layer.
What is your forecast for telecom network security?
My forecast is that we are entering an era of “permanent residency” for advanced persistent threats within national infrastructures. As 5G cores become more software-defined and containerized, the attack surface will expand beyond what traditional perimeter defenses can handle. We will likely see more implants that are “protocol-aware,” meaning they won’t just steal data but will actively manipulate network signaling to mask their presence. Security will have to shift toward a “zero-trust” model for the network hardware itself, where even the traffic coming from your own backbone is treated as potentially hostile. If we don’t start verifying the integrity of the kernel and the low-level protocols regularly, these digital sleeper cells will remain a permanent, invisible fixture of our global communications.
