Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F52573032445A2DB69783E0F3B0737DA2B4C7C4D61BA358E2F842761B42D69CD5BAB4 |
|
CONTENT
ssdeep
|
384:t+1Thv5EwiFNF2G7Z+ZAgCQa01c8Yue2jkQJmzEJNJ5k:t+5hv5EwjG7Z+ZnCQa01c8Be2DJmzEJi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d68734343596d635 |
|
VISUAL
aHash
|
76003c3c185c0400 |
|
VISUAL
dHash
|
d4f3686932a9d499 |
|
VISUAL
wHash
|
7e383c3c1c547c6c |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
0000000c0c0c0000,d4f3686932a9d499 |
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 988 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.