CashRewindo is a globally active malvertising-driven investment scam operation first observed in 2018. It specializes in delivering fraudulent crypto-investment lures through advertising traffic and cloaked web infrastructure, ultimately steering selected victims to fake investment platforms designed to induce monetary deposits. The actor has demonstrated broad international reach, with campaigns localized by language, currency, and imagery for different regions. A defining characteristic of CashRewindo is its use of aged domains and low-churn infrastructure to reduce suspicion and evade reputation-based defenses. The operation has also embedded malicious logic inside common JavaScript libraries and served different content depending on targeting decisions made server-side. Non-targets are typically shown benign pages or harmless script responses, while intended victims receive malicious or scam-related content. CashRewindo further uses cloaked landing pages, rotating ad creatives, and simple browser fingerprinting based on client attributes such as timezone, platform, and language to separate viable targets from general traffic. The actor employs defense-evasion techniques tailored to ad-tech and web security monitoring, including creative switching, selective content delivery, and concealment of tracking or exfiltration-related data within atypical parts of HTTP requests. Observed campaigns indicate a strong emphasis on Windows users and a mature operational model that reuses a relatively small set of virtualized infrastructure over extended periods rather than relying on rapid domain turnover. CashRewindo's activity is best characterized as financially motivated fraud centered on malvertising, victim profiling, and redirection into fake crypto-investment schemes.
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.
Geographies tied to known operations.
7 distinct techniques observed across reporting, grouped by tactic. Hover any cell for the evidence excerpt; click through for MITRE's full description.
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.