Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BE1C5736119055F441365E5FEA79718669FD26AF2A3C58052EDE3FC22C3CA4E007B94 |
|
CONTENT
ssdeep
|
96:T0kHtvx/sxqkV0/Lax92STY+ZbqRbSkrsSOPCgXiYIdce:fUV0Dc9TzZbqRb9rpYze |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f4c20da611fd4b95 |
|
VISUAL
aHash
|
9ef4f0c007a59f03 |
|
VISUAL
dHash
|
14a8a094ac6d3636 |
|
VISUAL
wHash
|
96f0f4c447e58f03 |
|
VISUAL
colorHash
|
31c01008000 |
|
VISUAL
cropResistant
|
14a8a094ac6d3636 |
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 32 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.