Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D4120F1D412202F23139AD6F6B6772AE1C7DB0DDF523C05A2AC8BEC23E4E68C50A554 |
|
CONTENT
ssdeep
|
24:hR01AZZUihY15Nit4L7kpthKah35lxWUF400l/V6tsSdkTwL65WuqYNdEqSuE3dr:TG+hhYw4Lwxp5PWUGmxOqYNXXE3Ii |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89ab27278d8d2727 |
|
VISUAL
aHash
|
0100001818000000 |
|
VISUAL
dHash
|
01081432320c1000 |
|
VISUAL
wHash
|
f1f0f0f838303030 |
|
VISUAL
colorHash
|
07000007000 |
|
VISUAL
cropResistant
|
01081432320c1000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 371 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.