Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1930A23A349133903570695AB4A62EE933FC0B8F366156064BDC1AD57C1CA9CB3B7DB |
|
CONTENT
ssdeep
|
1536:S01NY8a7cX6Vin68jFzm2j5ata84j3b+i3aY2dwvWlM3/Cb0GZN0djL25uKfjS4y:S01Nna7MAin68jFeZ4f+a8dw+lCq0GZ0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99ab66998966a399 |
|
VISUAL
aHash
|
ffffff7e1c080000 |
|
VISUAL
dHash
|
33b088f0b2f0e841 |
|
VISUAL
wHash
|
ffffff7e18000000 |
|
VISUAL
colorHash
|
38000000006 |
|
VISUAL
cropResistant
|
33b088f0b2f0e841 |
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 221 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.