Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129D2FD62D069043E016F87D1EA6A636C14FE10ECEF0215E8CEA982BB56DFE54F513F90 |
|
CONTENT
ssdeep
|
768:JlzY/1aaaaaaaaUeFaaaaaaaaUeFU4444444ueT44444444ueT44444444ueewm:caaaaaaaaUeFaaaaaaaaUeFU4444444Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2f25350dc5c5157 |
|
VISUAL
aHash
|
18ffffff00000000 |
|
VISUAL
dHash
|
d00f8e20c4c4d033 |
|
VISUAL
wHash
|
00ffffff7e000018 |
|
VISUAL
colorHash
|
16006000000 |
|
VISUAL
cropResistant
|
8080826262c280c0,320c4c4007222030,0000000011100111,23d4c0d4d0639010,7f0f602c7c7033ff,c4c4e8d8d8cc3231 |
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 59 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.
Found 10 other scans for this domain