Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2310E2160104C3FE523068AFFD2763870F3D2669E261410D1FA76BD57E1DCAEC2A5CA |
|
CONTENT
ssdeep
|
24:hHtj6p8pMbTMWh/8mwdu/FLoyhlloWToM8AroyhoZZEd+idq6V7Lz2SG0/cPNy+z:PIEMbTMWZ1wY582+ik87Lzsg+TX3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93194c6699f3738c |
|
VISUAL
aHash
|
3c1c1c3f3fe7ffff |
|
VISUAL
dHash
|
71717878704c0c11 |
|
VISUAL
wHash
|
1c1c1c1c1f27e7f8 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
71717878704c0c11 |
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 4784 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.