Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172820B6DB22C23B59E4303D6F96503FFF61B50ECB66127DCB659C228B2445ED8532AC2 |
|
CONTENT
ssdeep
|
384:QCoCHv66yHQPHR6mVxVxpe69sh8AgOLdYsmMpBZ7eg/B:XolQPHR6mlze69skI7m4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a752a552ad5ea |
|
VISUAL
aHash
|
030fff1fbf3f030e |
|
VISUAL
dHash
|
163bd8f33978dbde |
|
VISUAL
wHash
|
03097f0fbf1f030e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
163bd8f33978dbde |
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 482 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.