Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122634024B14142FF56A7C9E0E1A07F1972EAF34ECB6BC954A7EC50A16FCECB07A11161 |
|
CONTENT
ssdeep
|
768:i1QTb9byTbVb5bYbIFMyPBNhrJvR7KVRrkF/j/S/S/N/Qf/BS/pk/W/Ero8YOnQb:dTxGT5Ns0hPB/lvRJ78nQ5xm2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
842a3baacbeaaa3a |
|
VISUAL
aHash
|
0102067636160662 |
|
VISUAL
dHash
|
431c94c4e4e40cc2 |
|
VISUAL
wHash
|
c106067e7e3e067e |
|
VISUAL
colorHash
|
38041201000 |
|
VISUAL
cropResistant
|
431c94c4e4e40cc2 |
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 57 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.