Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109927635230D297E61278BE0F7A1B7A9529DB249FB0BD864D1BC02756BCBDC4E823C54 |
|
CONTENT
ssdeep
|
384:IzjwbMbtYy/4pVJ8CGCGCGCGCm4z/4Um14TWM4pb6:HbStL/y/vvvvmQ/Tm1iR66 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e664cc7299999999 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4d |
|
VISUAL
wHash
|
c3c3c3c3e0e0c0c0 |
|
VISUAL
colorHash
|
0e0000c0003 |
|
VISUAL
cropResistant
|
0202020202020202,0000000000000000,617159693396c1f0 |
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 56 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