Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D83D571AA91593F41CB80C5F7315B89B3948316C3420E95F7F1CA6BEFC2DA0ED26598 |
|
CONTENT
ssdeep
|
768:tOHOuEs8WR7hanjPtcYWNWNPgGmr4brNG6MWzQXUm8f60ybn508vW0YJKNrzGNto:w5VanjPKYsrr4dlyb508vFYJJshW2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f823972d70ad522d |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
96f5c9a3a74d06d4 |
|
VISUAL
wHash
|
0010c4c140ffffff |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
96f5c9a3a74d06d4,9692f58913a7b705 |
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 198 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.