Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2C20E62D069043E012F87E6AA6A636C14FE11ECEF0115ECCAA982FB56DFD54F513F90 |
|
CONTENT
ssdeep
|
768:JlzYUqaaaaaaaaUeFaaaaaaaaUeFaaaaaaanueT44444444ueT44444444ueedm:uaaaaaaaaUeFaaaaaaaaUeFaaaaaaan5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2f25658d9584656 |
|
VISUAL
aHash
|
18ffffff00000000 |
|
VISUAL
dHash
|
d00f8c10ccc4d033 |
|
VISUAL
wHash
|
00ffffffee000018 |
|
VISUAL
colorHash
|
16006000000 |
|
VISUAL
cropResistant
|
8080826262c280c0,120c4c0c140c1858,0000000011100111,23d4c0d4d0639010,132b693323596923,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