Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105C210B09154CD7B00ABE1C6D730AF4B73E6929ADAA3474207F89B6D5FDBC90EC02459 |
|
CONTENT
ssdeep
|
768:HJ5x85mVMqAzhRzstNJzo1zzCzui72zCW3zCPBbwlTaHSQ6wFUPL4cud7L3mX8Qw:Hg8jmXVke0ecPdiJjAEl5LBRQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f96d521646616d4d |
|
VISUAL
aHash
|
00fff3ebff83cfff |
|
VISUAL
dHash
|
431a1313203f1b23 |
|
VISUAL
wHash
|
00c3e1e3ff8381f9 |
|
VISUAL
colorHash
|
07001000680 |
|
VISUAL
cropResistant
|
0b13131b203f1b23,0043034b4b030300 |
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 14 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.