Berlin is a Telegram-linked cybercriminal actor associated with Android reverse engineering and fintech fraud targeting India’s mobile payment ecosystem, particularly UPI SIM-binding workflows. The actor is linked to development and operational use of the LSPosed-based Android module known as Digital Lutera, which represents a shift from repackaged payment applications to OS-level runtime manipulation. By hooking Android telephony and SMS APIs rather than modifying the legitimate banking or payment application binary, this tooling preserves the target app’s signature while intercepting registration tokens, spoofing phone-number identity data, suppressing real SMS transmission, and inserting forged sent-message records to satisfy application-side checks. Berlin has been associated with services described as UPI bypass and cashout operations, indicating a financially motivated fraud model centered on account takeover, PIN reset, and fraudulent fund transfers. The actor’s tooling uses Telegram for exfiltration of authentication and registration data and Socket.IO-based command-and-control for real-time orchestration. Observed tradecraft includes abuse of rooted Android devices with LSPosed installed, runtime hooking of SmsManager and TelephonyManager functions, and dependence on separately compromised victim devices infected with SMS-stealing trojanized applications that can read, forward, delete, and send messages. Reported lures used to compromise victim devices include fake civic-notice and invitation-themed Android applications. Berlin has also been linked to efforts to target Indian banking defenses, including Axis Mobile and attempts to bypass anti-fraud protections from Protectt.ai. Available evidence supports characterization of the actor as an India-focused financially motivated fraud operator and developer rather than a nation-state intrusion set. Known associated handles include @Syntext_Erorr and @Berlin_Market.
Mallory correlates actor tradecraft and target patterns against your stack, your sector, and your geography. See overlap before they land.
Who, where, and (when attributed) which flag flies behind the operation. Pulled from open-source reporting and Mallory's analyst review.
Sectors the actor has been observed targeting.
Geographies tied to known operations.
Attributed origin per open-source reporting.
10 distinct techniques observed across reporting, grouped by tactic. Hover any cell for the evidence excerpt; click through for MITRE's full description.
1 malware family attributed to this actor across reporting.
2 indicators attributed to this actor: domains, IPs, hashes, and other artifacts pulled from reporting. View more in app.
2 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
Developer and service provider for Android-based fintech fraud focused on bypassing mobile payment SIM-binding, enabling account takeover, PIN reset, and cashout operations against Indian banking/payment users using the Digital Lutera LSPosed module and Telegram-based coordination.
Android/fintech fraud actor developing and operating an LSPosed module (“Digital Lutera”) to bypass UPI SIM-binding by hooking Android telephony/SMS APIs, exfiltrating OTP/registration tokens to Telegram, and using Socket.IO C2 to inject forged SMS records—enabling account takeover, UPI PIN reset, and cashout/fraud-as-a-service against Indian banking/payment apps.
Match sector + geo + tech-stack targeting against your real footprint.
Every observed MITRE ATT&CK technique, grouped by tactic.
Families this actor is known to deploy, with IOCs and behavior.
CVEs this actor has used in known campaigns.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Domains, IPs, and hashes tied to this actor, refreshed continuously.