Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141C10A3342401A3F6E13C658A2D6B37C46A59288E6295C5CA5ED42E93BD2DE8D8373E4 |
|
CONTENT
ssdeep
|
96:TPNGMkgyMkg/vYCej46Y1WUwXsN3Zk40kNg7cNukjE3l:LNGzOvYCxRvwwZ8sacNuxl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc7777dd22208933 |
|
VISUAL
aHash
|
0000181918180000 |
|
VISUAL
dHash
|
5028313131320810 |
|
VISUAL
wHash
|
00983c3dffff3c00 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
5028313131320810 |
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 136 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.