Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F943803090152A3B01B3C2D6A6716B9FB3E58289DB27075A77FC839E1FDAC01DD5A129 |
|
CONTENT
ssdeep
|
1536:s4444IY0HPXIHxRs1GtiLKl7dF7vDKUBq7k:/mhcLKl7dF7vDKl7k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2ccdf513d3c129 |
|
VISUAL
aHash
|
0301010100ffffff |
|
VISUAL
dHash
|
d777f7ffff322a0b |
|
VISUAL
wHash
|
0303030101ffffff |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
d777f7ffff322a0b,5b7b3373775f573d |
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 55 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.