AntiMalwareSeptember 3, 2026🇷🇺Translated from Russian

Buhtrap RAT Resurfaces in New Campaign Targeting Russian Accountants via Search Ads

Specialists from F6 have uncovered a new campaign distributing the Buhtrap RAT remote access trojan. The attackers continue their established tactic of targeting accountants and lawyers with counterfeit professional websites promoted through paid search engine advertisements.

The latest decoy closely replicates the legitimate resource Glavnaya Kniga Bukhgaltera. Visitors arrive seeking a required document and click the download button, only to receive a ZIP archive instead of a harmless file. JavaScript code on the page intercepts the request and dynamically generates a link to the malicious archive, whose filename incorporates the current date and time.

Inside the archive, victims find an executable such as Obrazets dokumenta pod indeksom 1.exe. Upon execution, Buhtrap RAT establishes persistence on the system and connects to the attackers’ command server. The trojan grants remote control over the compromised machine and is deployed in operations against Russian organizations.

Researchers at F6 noted that the infection chain has seen minimal changes compared with the previous campaign. The main update involves refreshed network infrastructure rather than new techniques. Buhtrap has been active since 2014 both as malware and as the name of the associated criminal group. Following the public release of its source code in 2016, the tool became available to various financially motivated threat actors.

Among the identified decoy domains are glavaudit.org, buhotchet.com, and audit24.org. Security experts recommend that users carefully verify website addresses and refrain from launching executable files that masquerade as documents.

Related articles

HabrMalware & Botnets

Website Protection Against Bots: Six Years of Traffic Filtering Evolution from Behavioral Bots to Multi-Layer Analytics

The article traces the author's journey starting in 2020 when anomalous traffic from social networks began flooding websites, initially appearing as visits from Twitter, Instagram, YouTube, and VKontakte. Early attempts using .htaccess rules to block referrers failed as bots dynamically switched to direct or external domain transitions. Server-side JavaScript and cookie checks altered bot behavior but did not stop the flow, revealing that successful browser checks only confirm technical capability rather than human presence. IP blocking of ranges like 31.173.80.0/21 and 178.176.64.0/19 provided temporary relief until mobile proxies rotated addresses, exposing the limits of static blacklists. IPv6 adoption further demonstrated how address-family-specific rules quickly become obsolete. Fingerprint spoofing and constant rotation of digital prints made single-signal identification unreliable. The core lesson emphasizes real-time filtering at the edge over post-hoc analytics exclusion to prevent bots from reaching the web server at all.

HabrMalware & Botnets

Drama RAT: Advanced Android Banking Trojan with RAT Capabilities Analyzed by Positive Technologies

Positive Technologies researchers have detailed Drama RAT, a sophisticated Android banking trojan distributed via phishing messages in messengers and disguised as VPN services or banking apps. The malware uses droppers that request installation of fake updates, then deliver a full-featured payload capable of stealing credentials, recording screens, and performing overlay attacks. Drama RAT automatically grants itself Accessibility permissions while hiding the process behind opaque overlays and employs multiple persistence mechanisms including AlarmManager alarms and Doze mode bypass. Communication occurs primarily over mTLS WebSocket with a fallback CDN channel, while anti-analysis features include over 1200 junk artifacts, broken AndroidManifest.xml, Frida hooking detection, and per-class string obfuscation. The trojan supports keylogging, SMS interception, VNC screen sharing, microphone and camera recording without indicators, and participation in DDoS attacks. Positive Technologies notes that removal is extremely difficult without ADB or safe mode because the malware redirects users away from settings screens.

BoletimSecMalware & Botnets

Attackers Abuse Legitimate Node.js Runtime to Deploy Persistent Malware in Targeted Operations

Cybercriminals are increasingly misusing the legitimate Node.js runtime to execute malicious JavaScript scripts and maintain persistence on corporate networks. The technique has been observed since February 2026 against governments, technology firms, hotels, and financial organizations. Attackers favor the signed node.exe binary to evade signature-based detections after initial access via ClickFix social engineering. In one case against an Asian technology company, Node.js was deployed following blocked attempts to install AdaptixC2 and Cobalt Strike. The resulting implant establishes registry persistence and communicates with Ethereum blockchain gateways to retrieve commands hidden in smart contracts. The approach has been linked to multiple tools including ModeloRAT, Mistic, EtherRAT, and a variant of AsukaStealer, with some campaigns attributed to the initial-access broker Woodgnat, also known as KongTuke.

BoletimSecMalware & Botnets

Brazilian Malware BraZetsu Uses AI to Map and Sell Compromised Corporate Networks

Researchers have identified a new Windows malware called BraZetsu developed by the Brazilian actor Exilware. The tool maps compromised corporate networks, identifies high-value systems, and prepares access for sale to other criminals. The operation primarily targets Brazil and other countries in Latin America and the Iberian Peninsula. BraZetsu is written in Python with a modular architecture and maintains WebSocket communication with its command-and-control server. It searches for banking software, ERPs, e-commerce platforms, industrial environments, development tools, backup systems, and security solutions. The malware also looks for Brazilian CNAB financial files, digital certificates, and browser history. Evidence suggests heavy use of generative AI during development, with an AI component on the server that may classify stolen files and prioritize valuable machines.