Tia N.List

Reported by 1 outlet

Dissecting the JWR phishing framework

hot0.0
Why this score
Breadth
0.50 / 2.0 · 1 source
Authority
1.20 / 2.0 · best outlet weight
Severity
0.70 / 5.0 · CVSS + content signals
Velocity
0.00 / 2.0 · updates in 48h
Pickup speed
0.00 / 0.6 · time to second source
Recency
× 0.00 temporal multiplier
Community
+ 0.00 / 1.5 · reddit signal
Score
0.0 / 10 = base × recency + community
malware.news first seen 61d ago

Timeline

  1. original reporting

    Dissecting the JWR phishing framework

    malware.news · 61d ago · August 13th, 2026

    Cisco Talos recently identified an undocumented phishing framework, internally branded "JWR" by its developer, built to convincingly impersonate checkout and login pages across major payment and shopping platforms. The client engine of the JWR phishing framework is a real-time, operator-driven system that, rather than merely logging form submissions like a static credential-stealing page, keeps an AES-CTR encrypted WebSocket open to the threat actor so they can steer each victim's session live. The victim data targeted by the actor using JWR extends well beyond payment data, encompassing identity documents, Social Security numbers, passport and driver's license images, website and PayPal credentials, 2FA codes, and full device fingerprints, all committed to the actor's server once a session ends. Talos assesses with medium confidence that the JWR phishing framework is a variant of "The Outsider," a phishing-as-a-service (PhaaS) platform, based on several similarities in the client engine scripts and functionalities of the two PhaaS platforms. Talos observed a real-world campaign delivering the JWR client via SMS lures impersonating toll authorities, and postal and courier services of several countries in Southeast Asia and the Middle East. JWR phishing framework, a likely variant of the Outsider JWR is a phishing framework capable of harvesting complete payment card data, login credentials, and personally identifiable information (PII) documents an

Covered in

digest 2026-08-14

Source on GitHub