Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1743284756E58397DB2238BB8F1E4BB6CA089911AC3179564F3DC01B556CBC3ACC62389 |
|
CONTENT
ssdeep
|
192:WbvSBkFZurbkvX+9cYmINPpeWkUvyI68EFpqXY9tfJY0AB3W:WTSmTurbkvX+9cYmI6DoNFEmY3JY0ABm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cce69933b194cccc |
|
VISUAL
aHash
|
6600381800001818 |
|
VISUAL
dHash
|
9621b230003032b2 |
|
VISUAL
wHash
|
ffff3c3c18181818 |
|
VISUAL
colorHash
|
38001000e00 |
|
VISUAL
cropResistant
|
9621b230003032b2 |
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 184 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.