Magecart is an umbrella term for multiple financially motivated cybercriminal groups and campaigns that compromise e-commerce environments to conduct web-based payment-card skimming. Magecart activity targets online checkout processes, particularly on Magento/Adobe Commerce, WooCommerce, and other merchant platforms. Operators inject malicious client-side JavaScript or server-side code to capture payment-card numbers, expiration dates, CVVs, cardholder details, billing addresses, and other customer data, then transmit or stage the data for later retrieval and resale. Magecart operations use diverse initial-access and delivery paths, including vulnerable e-commerce software and plugins, compromised administration interfaces, altered third-party scripts, malicious Google Tag Manager containers, and tampered payment-gateway components. Common tradecraft includes fake payment-form overlays, dynamic payment-field mapping, payload obfuscation and encryption, lookalike analytics or tag-management code, rotating delivery infrastructure, use of trusted third-party services, browser storage or cookies to retain captured data, and exfiltration disguised as ordinary image or analytics requests. Some campaigns conceal skimmer payloads in benign-looking image assets or use server-side files to stage stolen records. Named activity associated with the Magecart ecosystem includes long-running ATMZOW operations, which have used malicious Google Tag Manager containers against e-commerce sites.
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.
Attributed origin per open-source reporting.
34 distinct techniques observed across reporting, grouped by tactic. Hover any cell for the evidence excerpt; click through for MITRE's full description.
4 malware families attributed to this actor across reporting.
134 indicators attributed to this actor: domains, IPs, hashes, and other artifacts pulled from reporting. View more in app.
20 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
Conducting web skimming attacks against e-commerce checkout pages by abusing trusted services such as Google Tag Manager and Stripe to load payment-card skimmers and exfiltrate stolen customer payment and personal data.
Conducting web skimming attacks against e-commerce checkout pages by abusing trusted services such as Google Tag Manager, Stripe API infrastructure, and in a variant, Google Firestore, to load skimmer code and exfiltrate stolen payment data.
Payment-card skimming activity used in exploitation of the FunnelKit Funnel Builder vulnerability to steal checkout data from WooCommerce stores.
Conducting web skimming/payment card theft by injecting malicious JavaScript into ecommerce checkout pages and disguising it as legitimate analytics or tag manager code.
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.