Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FC3D73053081D7DA51787E8F3E97338216EC389E66B8168E37D02B517CAD95E8376E8 |
|
CONTENT
ssdeep
|
1536:j1eUI4sG4sks4sD4s84sjH4sCt4s84sp4sp4sj4sD4sD1UVGxVh0dyp98KP7rJ0L:Pqdph0T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f36c634c594d6433 |
|
VISUAL
aHash
|
00e7c3ffffffe7e7 |
|
VISUAL
dHash
|
330e0e1331150d49 |
|
VISUAL
wHash
|
00c3c3cbffe4e0e4 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
330e0e1331150d49,0000000c3232b220 |
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 203 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.