Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D52A3617650183B126B4AFBB520BBB970DEDA8DC647D10AF3BC825B9BC6D90DE21314 |
|
CONTENT
ssdeep
|
192:QRZCUE8KBxn57uHq691tGcMb0PSpHnB0qmlNvXCKI:QRZCUlKBxn57uHqI1tGcoHHnBbuhCKI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252525353535757 |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
d00bd028284c0800 |
|
VISUAL
wHash
|
00303020ffe7e3e3 |
|
VISUAL
colorHash
|
07006008000 |
|
VISUAL
cropResistant
|
8080c2c2c2800080,00000028284c3000,03d4c0c0d0239090 |
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 26 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