Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F82F966A21422B48E0303DEFF2353FFB51640AEF61217DDEA78812C72959DE8935EC5 |
|
CONTENT
ssdeep
|
384:Q6oCFWN2kjzgP0TJ34dpCeFsmMpBZ7eg/B:VoAyRjzWGJ34/Ceam4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5aa552ad52ad5a0 |
|
VISUAL
aHash
|
e781e7a5e78183de |
|
VISUAL
dHash
|
4d090c490e272322 |
|
VISUAL
wHash
|
e781e781e78181de |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4d090c490e272322 |
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 490 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.