Threats Tagged 'credential harvesting'

Vanta Stealer is a Python-based information stealer utilizing PyArmor protection and PyInstaller packaging to complicate defensive analysis. The malware systematically harvests credentials from Chromium-based browsers, communication platforms like Discord and Telegram, gaming applications including Steam, Riot Games, Roblox and Minecraft, cryptocurrency wallets, Mullvad VPN configurations, and sensitive documents. It performs token enrichment by validating stolen Discord credentials against the API to retrieve account details, billing information, Nitro status, and server privileges. The modular architecture downloads dedicated browser extraction utilities at runtime, maintains independence between collection modules, and generates structured inventory reports before consolidating harvested data into ZIP archives. Exfiltration occurs via HTTP POST to attacker-controlled infrastructure with victim metadata. Distribution likely occurs through social engineering campaigns involving phishing emails, trojanized...

A sophisticated macOS malware campaign leverages ClickFix social engineering to infect victims. The attack begins with a fake CAPTCHA prompt delivered via email links, tricking users into executing malicious commands in Terminal. This downloads a profiling script that collects system information and deploys architecture-specific Go-based Mach-O payloads. The stealer targets browser passwords, Apple Keychain credentials, and cryptocurrency wallets. Its most notable feature is a DRAIN function that gradually siphons cryptocurrency from victims' wallets by redirecting portions to attacker-controlled accounts. The malware supports Bitcoin, Litecoin, Dogecoin, Monero, Ethereum, and XRP. Infrastructure analysis reveals hosting through Aeza Group, a sanctioned Russian bulletproof hosting provider. The malware achieves persistence through macOS Background Task Management and uses various evasion techniques including Gatekeeper bypass and credential harvesting via fake system prompts.

On August 4, 2026, a sophisticated supply chain attack compromised the keyv npm package maintainer, deploying CHAINDROP, a self-propagating worm that automatically backdoors packages using stolen npm credentials. Over 400 npm packages were infected, affecting more than 1.3 billion monthly downloads. The worm executes via preinstall hooks, deploys across Linux, macOS, and Windows platforms, and harvests credentials from over 300 patterns targeting AI tooling, cloud providers, GitHub tokens, and npm credentials. CHAINDROP uses Ethereum smart contracts for C2 resolution and propagates by publishing trojanized versions of packages the compromised maintainer can access. The payload is heavily obfuscated and contains Dune-themed references consistent with previous Shai-Hulud campaigns.

Attackers compromised a GitHub maintainer account controlling keyv, cacheable, flat-cache, and file-entry-cache Node.js packages that collectively receive over a billion downloads monthly. Malicious code was pushed directly to the main branch and automatically published to npm with valid signatures. A hidden preinstall script downloads a Bun runtime to execute an obfuscated payload that harvests npm, GitHub, AWS, Kubernetes, and Vault credentials, scans for SSH keys and environment files, and exfiltrates data to attacker-controlled GitHub repositories and Ethereum smart contracts. The worm then uses stolen npm tokens to infect additional packages autonomously. This self-propagating attack, tracked as ChainDrop, belongs to the Shai Hulud family responsible for previous campaigns targeting TanStack, Mistral AI, and OpenSearch packages in May 2026.

An active supply chain attack has compromised the keyv and cacheable npm packages, affecting tens of millions of weekly downloads. The attack began on August 4, 2026, when the maintainer account Jaredwray was compromised, enabling attackers to publish malicious code across multiple packages. The malware deploys through a preinstall hook that downloads a Bun runtime and executes obfuscated payloads designed to harvest cloud credentials from AWS, GCP, Azure, HashiCorp Vault, Kubernetes, GitHub Actions, and npm tokens. The threat exhibits worm-like behavior by using stolen npm tokens to republish trojanized versions of additional packages beyond the original namespaces. Stolen credentials are exfiltrated to attacker-controlled GitHub repositories via DNS-resolved destinations, with persistence mechanisms planted in developer environments through .claude and .vscode hooks.

Two newly identified backdoors, OctLurk and SilkLurk, have been targeting government organizations across Central Asia since January 2025. Victims span Afghanistan, Kyrgyzstan, Tajikistan, Uzbekistan, Kazakhstan, and Syria, affecting healthcare, research, government offices, ministries of foreign affairs, logistics, law enforcement, urban planning, and educational institutions. Both backdoors employ heavily obfuscated loaders customized per victim, using machine-specific data for decryption. They deploy multiple plugins for command execution, file manipulation, credential harvesting, keylogging, network scanning, and remote access. The attackers also utilized LurkProxy for network traffic proxying and deployed additional tools including PlugX, Impacket, FSCAN, and Pandora FMS agents. Analysis indicates both backdoors are operated by the same Chinese-speaking threat actor, though attribution to a specific known group remains unconfirmed. The campaigns demonstrate sophisticated persistence mechanisms and ext...

MediumMalwareAfghanistanKazakhstanKyrgyzstan+3#silklurk#cyber-espionage#octlurk