Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0622C75B22412B19A4343D9FF3662EEE713409ADB265B88D764421CB29C9FEC912DC2 |
|
CONTENT
ssdeep
|
192:QonoB6CJ54t94E2HYyNT5r0qO25WT/JlZaiFE8fku9cuGRmKbMpBXp7sfgg8gk:QcoCMZtrlOOWrJLamZMsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a75aa552b55aa |
|
VISUAL
aHash
|
03073f3f7f7f3ffe |
|
VISUAL
dHash
|
570fc9c7c6c8d95a |
|
VISUAL
wHash
|
030329037f7f0fae |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
570fc9c7c6c8d95a |
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 485 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 1 other scan for this domain