Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138323161A505152F7B53D8CAA8E0FF0C5CA3C26CE50701DDA39A6D8D4FDED60C14EEA6 |
|
CONTENT
ssdeep
|
192:hHlLnrOKgJnu6ZPjotNzcIzccrfWquf7gng4OzO40ZfQ9e9Rih26awngzNtNTsh:zQuoPjo/zTzcc3uf7gOOTfQ9qXTc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3334c4c7339594e |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
09080c4c0c100000 |
|
VISUAL
wHash
|
0000000004140c0c |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
0c0c0c4c0c100000,0000004141414080 |
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 63 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.