Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5B473813BC1FC4612474775331A75E5D52EEAA9B188899EF004BC54F0EDD23FAE92B2 |
|
CONTENT
ssdeep
|
12288:E19C8WRV3ozwtNTFLWKD4Hfd7WvYYPLsKdQIiJrYTZuuoNKAVJUs2nwKF9U5WvvB:SwtNZWKMHpWv9PLjiJs9uaAVOs2nwKF1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6633996666cc66 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0810303232b23008 |
|
VISUAL
wHash
|
3c3c3c3c3c3c1c0c |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
a292ac9696a880a2,0810303232b23008 |
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 57126 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.