DarkCracks is a stealthy multi-stage malware delivery and upgrade framework targeting internet-facing systems through compromised web applications and websites. It has been observed abusing compromised GLPI and WordPress instances as downloader infrastructure and command-and-control nodes. The framework is built around a modular chain in which an initial downloader retrieves a Runner component, which decrypts configuration data, establishes persistence, and then downloads, decrypts, and executes an encrypted Client payload. The Client reports host information to operator-controlled infrastructure and supports remote updating of multiple framework components. DarkCracks is notable for its resilience and operational redundancy. Its Runner and Client use encrypted configuration data and a layered task-retrieval design that first attempts direct retrieval, then falls back to backup configurations hosted on public platforms, and finally to a domain-generation fallback. Persistence mechanisms include cron-based execution, shell profile modification, and init-script installation depending on privilege level and environment. The malware also employs string obfuscation and encrypted payload delivery to hinder analysis and detection. Observed samples indicate cross-platform support for Linux environments across multiple CPU architectures, including ARM, MIPS, and x86/x64, suggesting broad targeting of servers, embedded devices, or edge systems. A related Windows distribution channel has also been observed delivering a QuasarRAT loader through a malicious DLL, indicating the operators may support both Linux- and Windows-based post-compromise tooling. Victimology indicates targeting of public-facing and critical-service-adjacent organizations, including school systems, public transportation systems, prison visitor systems, and financial institutions across multiple countries. A Korean-language resume-themed lure associated with related infrastructure suggests at least some social-engineering activity directed at Korean-speaking targets or operators’ interest in that user population. Attribution to a specific nation-state or formally tracked intrusion set is not currently available.
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.
1 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
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.