Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1051342708092F527F56354C6F2715F0E7141830EC6AB5A17E7BA1B2BEAC6D639B02389 |
|
CONTENT
ssdeep
|
768:d1eMRYwz6R06Y0a16+HyVCHpOv83GljETlQFbbf7jETlQFbbf7I2fndBln:HeazA031FHyVCHpiU2fnXln |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd2062ff2281fd8a |
|
VISUAL
aHash
|
00101818999b3c38 |
|
VISUAL
dHash
|
0a34b2b373727069 |
|
VISUAL
wHash
|
001818f9bf9f3e3c |
|
VISUAL
colorHash
|
384010080c0 |
|
VISUAL
cropResistant
|
0a34b2b373727069 |
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 19 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.