Threats Tagged 'credential stealer'

Mistic is a stealthy backdoor malware linked to the Woodgnat initial access broker, active since April 2026. It uses sideloading of legitimate Microsoft files to execute payloads in memory without disk writes, enhancing stealth. Mistic includes typical backdoor functions and a self-delete kill switch. It has been observed deployed alongside ModeloRAT, another tool associated with Woodgnat. Targeting is opportunistic across sectors such as insurance, education, IT, and professional services. Woodgnat sells persistent remote access to ransomware affiliates involved with multiple ransomware families. The threat leverages social engineering lures delivered via compromised WordPress sites.

A sophisticated Rust-based macOS implant named macOS.Gaslight has been discovered, featuring a novel 3.5 KB prompt-injection payload containing 38 fabricated system messages designed to disrupt LLM-assisted malware analysis. The backdoor communicates via Telegram Bot API with AES-GCM encrypted payloads over certificate-pinned TLS and includes self-redaction capabilities to hide its bot token from logs. It provides operators with an interactive shell, system information collection, and credential stealing capabilities through a bundled Python script that targets browser data, keychains, and command histories. The implant uses runtime-fetched CPython interpreters and establishes persistence through a LaunchAgent masquerading as an Apple system service. This threat is assessed with high confidence to be aligned with DPRK activity and represents a significant evolution in adversarial techniques targeting security analysts rather than sandbox environments.

OnyxC2 emerged in early 2026 as a malware-as-a-service stealer sold on cybercrime networks for $250 monthly. The platform includes a web panel, payload builder, and tiered pricing structure with refund guarantees. Written in C++ with assembly for direct syscalls, it targets approximately 210 applications across nine categories: 45 browsers, 109 extensions including 2FA tools, 5 password managers, 17 cryptocurrency wallets, 11 FTP clients, 5 email clients, and VPN/messaging applications. The stealer achieves 99% detection evasion through mutated builds and delivers via DLL sideloading using signed binaries. Higher tiers unlock remote access capabilities including HVNC, LSASS dumping, reverse SOCKS5 proxy, keylogging, and reverse shell. Distribution occurs through fake installers delivered as password-protected archives, with C2 communication over Cloudflare-fronted HTTPS to akmuniverstall.top.

A supply chain attack has compromised the node-ipc npm package, with malicious versions 9.1.6, 9.2.3, and 12.0.1 containing obfuscated stealer and backdoor functionality. The attack vector involved takeover of a dormant maintainer account through an expired email domain. The malware fingerprints host environments, enumerates and reads local files including SSH keys, cloud credentials, database configurations, and various developer secrets. Collected data is compressed into a gzip archive and exfiltrated via DNS TXT queries to attacker-controlled infrastructure disguised as legitimate Azure domains. The payload targets over 100 file patterns across macOS and Linux systems, focusing on developer credentials from AWS, Azure, GCP, Kubernetes, Docker, npm, GitHub, and numerous other services. The malicious code executes during CommonJS module loading, forking a detached child process to perform credential harvesting while avoiding detection through obfuscation and DNS-based covert channels.

Socket detected 84 compromised TanStack npm package artifacts modified with credential-stealing malware targeting CI systems, including GitHub Actions. Affected packages like @tanstack/react-router have over 12 million weekly downloads. The malicious versions contain router_init.js, a heavily obfuscated file with daemonization capabilities and environment variable access for GitHub Actions secrets. The compromise exploited GitHub Actions cache poisoning and pull_request_target patterns to extract OIDC tokens and authenticate malicious npm publishes through trusted-publisher bindings. The malware harvests credentials from GitHub Actions, AWS (IMDS, Secrets Manager, SSM), HashiCorp Vault, and Kubernetes, while establishing persistence in Claude Code and VS Code directories. Exfiltration occurs through Session's decentralized P2P network. The campaign includes self-propagation mechanisms that steal npm OIDC tokens and autonomously republish compromised packages. Updates indicate expansion to OpenSearch, Mistr...

The Octalyn Forensic Toolkit, a publicly available GitHub project, presents itself as a research tool but functions as a sophisticated credential stealer. It consists of a C++ payload module and a Delphi-based builder interface, allowing even low-skilled actors to generate functional binaries. The toolkit extracts browser data, Discord and Telegram tokens, VPN configurations, gaming account data, and cryptocurrency wallet artifacts. It establishes persistence, organizes stolen data, and exfiltrates it via Telegram. The malware's modular design, ease of use, and active exfiltration capability pose significant risks if misused. It employs obfuscation techniques, Windows persistence methods, and structured data theft, demonstrating a deliberate effort to evade detection and maximize impact.

MediumMalwareGermanyFranceUnited Kingdom+5#credential stealer#octalyn#octalyn stealer

The S2 Group’s intelligence team has identified through adversary tracking a new phishing campaign by Snake Keylogger, a Russian origin stealer programmed in .NET, targeting various types of victims, such as companies, governments or individuals. The campaign has been identified as using spearphishing emails offering oil products.

MediumMalwareGermanyFranceUnited Kingdom+5#keylogger#russia#spearphishing

A sophisticated variant of the Masslogger credential stealer malware has been identified spreading through .VBE files. This multi-stage fileless malware heavily relies on Windows Registry to store and execute its malicious payload. The infection begins with a .VBE file, likely distributed via spam email or drive-by downloads. The malware sets up registry keys for storing commands, stager configurations, and the final payload. It establishes persistence through a scheduled task and uses techniques to simulate user input. The malware employs multiple stagers to decode and load the final Masslogger payload, which is injected into the AddInProcess32.exe process. The payload targets multiple web browsers and email clients to steal credentials and sensitive information, with capabilities including keylogging, screen capture, and data exfiltration via FTP, SMTP, or Telegram.

MediumCampaignGermanyFranceUnited Kingdom+4#persistence#process hollowing#vbscript