Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B83409F457D862F8E007A3F4D72A65B1329724F9AF128614C3F45F68EB5196CCCA98C2 |
|
CONTENT
ssdeep
|
1536:IaWSj/07o5M4uM4xBqv4BqvhVK9M/bHgbW92bntuujTi97MX3A75M+5goME+bOq6:SnBqv4BqvhVrYjTiaebkOw0L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0e09d9cd2e1e19e |
|
VISUAL
aHash
|
ff00606444400020 |
|
VISUAL
dHash
|
9428c3898d9c60cc |
|
VISUAL
wHash
|
ff00606c646e7e66 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
9428c3898d9c60cc |
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 243 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.