Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AC20E62E079113E011E57E6AA6B63AC10F911ECFE0514ECCA5982BB97CFC54F913FA1 |
|
CONTENT
ssdeep
|
768:JlzYkUPSaaaaaaaaUeFaaaaaaaaUeFaaaaaaaaUeFaaaaaaaaUeFaaaaaN44ueeX:TUqaaaaaaaaUeFaaaaaaaaUeFaaaaaab |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3d25652d3525656 |
|
VISUAL
aHash
|
00ffffff00000000 |
|
VISUAL
dHash
|
d00b8c10ccc4d033 |
|
VISUAL
wHash
|
00ffffffee000018 |
|
VISUAL
colorHash
|
16006000000 |
|
VISUAL
cropResistant
|
8080826262c280c0,0a080c280c0c5a58,0000000011100111,23d4c0d4d0639010,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.
Pages with identical visual appearance (based on perceptual hash)
Found 10 other scans for this domain