Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5832AA43A59F5A65AF3439310DF1103B379562B540E4C206350FCAE76BCC9BA0A7FDA |
|
CONTENT
ssdeep
|
1536:nQoOTOq53QsHxh8N6mDOXhjaPnQjg+9uYTam:tOToQmN60Ot9XT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b24209bee22b3ee |
|
VISUAL
aHash
|
011810383c3c1c00 |
|
VISUAL
dHash
|
3bb062607079b970 |
|
VISUAL
wHash
|
8918383afffe1c18 |
|
VISUAL
colorHash
|
38010000e00 |
|
VISUAL
cropResistant
|
3bb062607079b970 |
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 140 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.