Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5B2C574694505BB224B59E8B1209F9EB0E7A30DCB07DA18E2FE06117FDBCF5CC912A1 |
|
CONTENT
ssdeep
|
384:lOPMmWNGXQKIwvXiccczclczpIfwu9fqaIrzPYMZMKeMekh4rJv2J95EXj61N3p:c/WUAKIwvXiccczclczpIfwu9fqaIrzL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
916c693965cc6d93 |
|
VISUAL
aHash
|
02062e7e0e0e2f6f |
|
VISUAL
dHash
|
92dcdc8cdcdcd8dc |
|
VISUAL
wHash
|
02260e7e0e4f2f6f |
|
VISUAL
colorHash
|
30000c00000 |
|
VISUAL
cropResistant
|
92dcdc8cdcdcd8dc |
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 114 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.