Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7C3FC243254851A57267F41BEC2EC9CEE83B78BC841D5F4D0F761BD69A0EE68D60C36 |
|
CONTENT
ssdeep
|
1536:Ihf3csFO9Txpm3TXENrB5Ej1ZgfEvEGLTxsVMuQ+tAH6VhWk3BX5QI6:Ck03bENr01 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcd5c73531c5c530 |
|
VISUAL
aHash
|
beff9bc383eb9bfb |
|
VISUAL
dHash
|
6c32232b1b222693 |
|
VISUAL
wHash
|
06df9bc181e3836b |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
6c32232b1b222693 |
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 130 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 3 other scans for this domain