Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E02E5A540DA5613212343ED9693BB1464D21338EB72CC26C1EED2DD6FD8D7DB857C12 |
|
CONTENT
ssdeep
|
96:YvT4JgN1aB/5SCmTVPa2sEEn1/pICI50x2cCZDVgB9ISTSTSTwlLS7:IN1atCMnbICCq2cCweeEtS7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fba2269ba2a69ba0 |
|
VISUAL
aHash
|
fd80888c8c9c8088 |
|
VISUAL
dHash
|
252a393919192430 |
|
VISUAL
wHash
|
ffc0cc8cccdcc09c |
|
VISUAL
colorHash
|
38000400180 |
|
VISUAL
cropResistant
|
252a393919192430 |
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 862 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.