Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C62284B09601B42BAF43D8D889D1FF0A5995C224D48241DCE3D91D8D5BDFF60D09FAEA |
|
CONTENT
ssdeep
|
192:lMRJkQdknrJIW1cEWCtUD1hjjNs7mTu5y7Hps7JLknGknCzRCYSim:liJkJIk+ZumTcy7HpMJLkntnyCYSim |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9993666cc999933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0c30b2b2b2b2300c |
|
VISUAL
wHash
|
fce4fcfc18182030 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
0c30b2b2b2b2300c |
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 9747 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.