Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129A23222A142441B16B794C0EF62BF0CA1A3F31FC94A8990BEED81E94FD7DB1B453578 |
|
CONTENT
ssdeep
|
192:4ezRKlwPHJqu9ktuBLVC/Y/n/AD/D/F/Q4/JI/X/s/8V/V/Z/4/2MkoM:4ePPiMBLVCA/YDbt/av0EVNRw+vz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4a43eea4a6ea4e4 |
|
VISUAL
aHash
|
f3ffffffffff0000 |
|
VISUAL
dHash
|
a58c8680c0100000 |
|
VISUAL
wHash
|
61fefefeff000000 |
|
VISUAL
colorHash
|
38001000181 |
|
VISUAL
cropResistant
|
a58c8680c0100000 |
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 35 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.