Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF61516151544D3F02C683E4A711663D33A782D3FA824F2452F48B9E8EE6FA6CC46696 |
|
CONTENT
ssdeep
|
48:TI7zIGZc+F3TtA0p0VxCwswZdHWmMTHuBI+0tX20u/YZBEKX37:TspFjHwhZd2hTli6H7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
adad5252bfa95052 |
|
VISUAL
aHash
|
0003030303030100 |
|
VISUAL
dHash
|
0003030b03030300 |
|
VISUAL
wHash
|
0303038383030300 |
|
VISUAL
colorHash
|
380000001c1 |
|
VISUAL
cropResistant
|
0003030b03030300 |
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 4 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.