Threats Tagged 't1102'

A sophisticated traffic distribution system has been operating for over 14 months, using more than 12,700 structurally similar fake CAPTCHA PDFs hosted on Webflow's CDN. The operation begins with search engine optimization, where victims searching for legitimate content encounter malicious PDFs through Google searches. These documents contain fake CAPTCHA panels that route users through a custom Elixir/Phoenix traffic distribution system employing IP filtering, bot detection, and geographic targeting. The infrastructure sorts visitors and redirects qualifying traffic to three distinct endpoints: Legion Loader distribution, a TDS reseller gate, and premium-SMS subscription scams targeting Spanish-speaking users. Non-qualifying traffic is monetized through search-arbitrage advertising. The operation primarily targets English-speaking countries and has recently been surfaced by AI assistants including Google Gemini and Claude, expanding its reach beyond traditional search engines.

MediumMalwareUnited StatesAustraliaBritish Indian Ocean Territory+2#search engine poisoning#ai assistant exposure#webflow cdn abuse

In this article Activity overview How ClickFix works Campaign overview ClickFix moved from open pages to fingerprinting gates The fingerprinting gate Mitigation and protection guidance Indicators of compromise (IOC) References Learn more Microsoft Threat Intelligence observed a macOS ClickFix campaign distributing infostealers, including MacSync and Atomic Stealer (AMOS) , through a large cluster of look-alike domains. The campaign evolved from broadly serving ClickFix lures to using a server-side browser-fingerprinting gate that shows the lure primarily to visitors whose environment appears consistent with a genuine macOS browser. This cloaking limits visibility for crawlers, sandboxes, and some automated analysis workflows. The blog details the domain pattern, fingerprinting checks, infection chain, detection coverage, and hunting pivots that defenders can use to identify related activity. Activity overview Microsoft Threat Intelligence has been tracking a macOS ClickFix operation that distributes information-stealing malware through a large family of algorithmically named domains. Over several weeks of monitoring, Microsoft observed a notable shift in tradecraft: the same infrastructure moved from openly serving the malicious command in the served page’s HTML source to concealing the lure behind a server-side fingerprinting gate that reveals the payload only to visitors the server assesses as a genuine macOS target. The chain ultimately delivers information stealers such as MacSync or Atomic Stealer (AMOS). This activity is consistent with the broader shift in macOS ClickFix tradecraft that Microsoft Threat Intelligence previously documented , in which threat actors instruct users to run Terminal commands that retrieve remotely hosted content rather than the traditional approach of delivering a disk image for manual installation. The cluster described here is notable for two reasons: its domains are mass-produced by a recognizable name generator, and it adopted server-side cloaking on existing infrastructure, giving defenders a clear before-and-after view of the same operation. In this blog, we describe the campaign’s domain-generation pattern, the two delivery phases we observed, the fingerprinting gate that now fronts the infrastructure, and the end-to-end infection chain. We also provide hunting guidance, mitigation recommendations, and defanged indicators of compromise. How ClickFix works ClickFix is a social-engineering technique where attackers persuade users to copy and run a command in Terminal instead of downloading a traditional macOS application. The lure usually appears as a fake verification step, software update, download error, or CAPTCHA, with the command disguised as something required to complete the action. Because execution starts from a user-run Terminal command rather than a downloaded app bundle, the flow can avoid parts of the normal macOS application trust path, including quarantine handling, code-signing evaluation, and notarization checks typically applied to downloaded applications. In this campaign, ClickFix remains the delivery mechanism, but the important change is that the lure is no longer shown to every visitor. The page first profiles the visitor through a browser-fingerprinting gate and primarily requests consistent with a genuine macOS browser environment receive the fake “Download for macOS” page and copied Terminal command. Figure 1a – The counterfeit “Download for macOS” page served to a qualifying visitor by a cloaked gate (apricotfilepoint[.]com). The page displays a forged “Verified Publisher” badge and offers a one-click Copy of an obfuscated curl one-liner. Delivery is conditional. During analysis, the same URLs returned different content to different requests. In some case the macOS ClickFix lure, and in others an apparently benign decoy page. In our testing, a request presenting a Windows browser received a decoy page such as a fake browser-extension or VPN landing page (Figure…

Threat actors are conducting a multi-wave campaign using social engineering lures themed around Zoom updates, business documents, and system utilities to deploy ScreenConnect Remote Monitoring and Management agents. The operation employs VBScript droppers, batch loaders, compiled .NET executables, and HTML phishing pages, all retrieving payloads from a WsgiDAV staging server at 207.174.0.143:8080. Victims receive silently installed ScreenConnect agents that beacon to three attacker-controlled relay servers, providing persistent remote access. The campaign demonstrates technical evolution from obfuscated VBScript with XOR encryption to aggressive .NET loaders executing nine-step Windows Defender destruction sequences. Cross-platform variants target both Windows and macOS systems. All payloads are legitimately signed ConnectWise ScreenConnect MSIs, designed to evade security controls that trust code signing. The threat actor actively rotates payload hashes and recently pivoted to stealth tactics specifically...

Kaspersky identified a new .NET Native AOT communication module for Project CAV3RN, a sophisticated cyberespionage framework targeting Israel. This module replaces the previous HTTP/WebSocket component by exchanging commands through Outlook calendar events accessed via Microsoft Graph API. Commands and results are stored in a fixed time window (2050-05-13 22:00-23:00 UTC) using specific subject patterns to identify heartbeats, commands, and outputs. The module implements RSA and AES-GCM encryption for secure communications. If Microsoft Graph authentication fails, it retrieves replacement configuration settings through DNS AAAA record responses from actor-controlled nameservers. The infrastructure analysis and behavioral patterns suggest low-confidence attribution to OilRig (APT34), based on the use of Microsoft-hosted services for command and control and compromised regional infrastructure.

MediumMalwareIsrael#veaty#whisper#encryption

Between late April and mid-June 2026, Microsoft observed heightened ACR Stealer activity targeting enterprise environments through ClickFix social engineering lures. This information-stealing malware, associated with Amatera Stealer rebranding and offered as malware-as-a-service, deployed through two distinct campaigns. The first utilized WebDAV-delivered payloads with Python loaders and blockchain-based command-and-control resolution. The second employed a fileless approach using MSHTA and steganography-concealed payloads within images. Both campaigns harvested browser credentials, authentication tokens, and sensitive documents from compromised systems. Threat actors leveraged obfuscated PowerShell scripts, scheduled task persistence, and in-memory execution techniques to evade detection. Notable tactics included masquerading as legitimate software updates, utilizing Windows DPAPI for credential decryption, and targeting PDF and Microsoft 365 documents. The blockchain dead-drop technique enabled dynamic i...

A Russian-speaking threat actor known as 'bandcampro' leveraged Google Gemini CLI to migrate and operate a command-and-control botnet in six minutes, with the AI handling 89% of all work including architecture, coding, deployment, and debugging. Analysis of 200 Gemini CLI session logs from March-April 2026 revealed the actor controlled eight computers in a dental clinic, accessing OpenDental databases. The actor communicated intentions in plain Russian while AI executed technical operations. The entire C&C infrastructure fits in three plain-text files totaling 5KB, making it highly portable and disposable. Beyond botnet operations, the actor used AI for password cracking, WordPress compromise, and planning cryptocurrency fraud targeting elderly victims in the US and Canada. The AI proactively suggested improvements 59 times unprompted, demonstrating how AI lowers barriers for threat actors by replacing technical skill requirements with simple natural-language instructions.

MediumCampaignUnited StatesCanada#cryptocurrency fraud#wordpress compromise#patriot bait

Four npm packages in the AsyncAPI namespace were compromised to distribute a multi-stage botnet loader called Miasma. The attack utilized trusted GitHub Actions publishing but originated from a poisoned source commit. Malicious code was injected into legitimate source files that execute when imported, launching a detached Node.js process to download an 8.25 MB encrypted payload from IPFS. The final payload is a sophisticated tasking framework supporting multiple command-and-control channels including REST, Nostr relays, IPFS, Ethereum smart contracts, and BitTorrent DHT. The framework establishes persistence via systemd services on Linux and fake NodeJS directories, supporting file operations, shell execution, data collection, and cross-ecosystem propagation capabilities for npm, PyPI, RubyGems, and Cargo ecosystems.

APT-C-60 continues targeting organizations in Japan with evolved tactics observed throughout 2026. The threat group employs spear-phishing emails containing Proton Drive links or direct attachments with RAR archives. Victims extract LNK files that execute JavaScript via mshta.exe, leading to multi-stage payload delivery. The attackers abuse legitimate services including GitHub, GitLab, jsDelivr, and Codeberg as infrastructure for hosting malicious components. Git.exe is leveraged to execute scripts that deploy downloaders and loaders, ultimately delivering SpyGlace malware versions 3.1.15 through 3.1.18. The attack chain involves multiple obfuscated JavaScript files and persistence mechanisms similar to previous campaigns. By utilizing developer-oriented services and CDNs commonly allowed in corporate environments, the threat actor attempts to evade detection and blend malicious traffic with legitimate communications.

MediumMalwareJapan#japan#spyglace#living-off-the-land

A misconfigured Python HTTP server on a Budapest VPS exposed the complete operational infrastructure of three distinct phishing operators. The investigation uncovered codemado, an Egyptian threat actor operating since 2018, running a full AiTM platform with custom tools including MaDoO Blaster; saroula01, deploying OAuth Device Code Flow attacks that accumulated 218 victims across 12 countries over a year; and mail-argenta, a Nigerian operator identified through infostealer logs containing his own credentials. All three actors leveraged customized Evilginx forks and AI-assisted development to build MFA-bypass infrastructure from public GitHub repositories. The campaigns targeted Microsoft 365 accounts primarily, with codemado maintaining ties to RockyBelling's "The Quarry" cybercrime ecosystem. The exposed server contained phishing configurations, credential logs, RMM installers, combolists, and Telegram session files, revealing sustained operations from at least January 2025 through May 2026.

MediumMalwareUnited StatesAustraliaBrazil+8#madoo blaster#asyncrat#rmm tools

A sophisticated spear-phishing campaign targeted individuals in research, policy, and academic fields through emails disguised as materials from an actual academic conference. The attack leveraged a cloud storage link delivering a malicious ISO file containing a PIF executable disguised as a PDF document. The multi-stage loader used EMBED_PAYLOAD_v2 structure to embed both legitimate documents and malicious payloads, which were sequentially extracted and executed in memory. Shellcode injection into explorer.exe ultimately deployed a RokRAT variant communicating with cloud-based C2 infrastructure via pCloud, Dropbox, and Yandex Cloud. The campaign demonstrated advanced social engineering by exploiting information from a real event, combined with sophisticated evasion techniques including process injection and cloud-based command-and-control operations. Attribution analysis linked the activity to APT37 based on infrastructure overlap, code similarities, and operational patterns.