Corporate firewalls do a good job of blocking malicious domains. They can recognize suspicious IP addresses and alert to known bad file hashes. But they have their limits. Today’s threat actors know those limits, and they are now getting around firewalls by exploiting trust in legitimate web applications for. One of the most well-known is Telegram. It has become the go-to application for malware command-and-control (C2).
Telegram’s appeal as a secure messaging platform is undeniable. But the same public messaging APIs that make it the ideal platform for daily communication allow cybercriminals to blend seamlessly into normal network traffic. To stop them, enterprise security teams must learn how to intercept the threats as early as possible. That means pivoting to automated Telegram channel monitoring and external threat intelligence.
Telegram Is Ideal for Malware Developers
Telegram works extremely well as a C2 architecture thanks to its operational security and well-known convenience. Prior to leveraging Telegram, threat actors would typically buy virtual private servers. They would register a domain and establish encrypted connections to connect with endpoints. But doing things this way left a digital paper trail. Security analysts could track everything from network signatures to billing records to WHOIS data.
Telegram answers these challenges by eliminating all the overhead. The platform’s Bot API offers a free and stable platform that has been well documented. Any hacker can set up a command bot via BotFather in mere seconds. No identity verification, no payment, no anything.
An established bot can interact with victim devices through standard HTTPS requests. So once embedded in something like an infostealer or keylogger, network traffic looks normal. A traditional scan would not reveal that it’s being generated by a hacker rather than a trusted employee using the application in his daily workflow. Firewalls permit the traffic and proxies overlook it. All the while, security personnel remain oblivious.
Fighting Back With Telegram Channel Monitoring
Even though standard network security tools struggle to tell the difference between safe traffic and its malicious C2 counterpart, security experts are not defenseless. They can look at external telemetry. They can disrupt threat actor techniques by leaning into Telegram OSINT to actively monitor illicit ecosystems across this new C2 frontier. Doing so is something expert security providers, like DarkOwl, recommend.
Security analysts are aided by the fact that Telegram is no longer just a tool for encrypted communication. It has become an actual cybercrime marketplace. Everyone from ransomware affiliates to initial access brokers utilize its public and private channels. They use Telegram to distribute their tools and sell access credentials. They collaborate to orchestrate malware campaigns. Security analysts can take advantage of this by deploying an automated channel monitoring strategy.
The point of Telegram channel monitoring is to harvest data pointing to critical threat indicators – directly from the source of that data. For example, when malware is analyzed, an investigator looks for hard-coded credentials. He looks for Telegram bot tokens and chat IDs, both of which are required to communicate. Details like these are fed into Telegram threat intelligence databases that help investigators map out what threat actors are doing and the channels they are using.
It’s Proactive Mitigation
Telegram monitoring and threat detection represent a proactive mitigation strategy based on the tedious task of tracking thousands of data points across multiple channels. Doing it manually would be an impossible task. But platforms like DarkOwl’s bring automation to the mix. By continuously following, indexing, ingesting, and enriching data, Telegram threat intelligence provides immediate visibility into underground activity. It gives security teams actionable intelligence with legitimate defensive value.
