Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAE1F9B53290CAEE9A5387AEB661753C28DF822FE5D2A440D317007635C0DF71821B86 |
|
CONTENT
ssdeep
|
96:TVH56+l65JAHWVk4aNJogw+DAwO8g73WntzuId6h18t7z+gF9XjC91:pH5y9Vy/LlO8kSRxd61mzg1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666993323cccc33 |
|
VISUAL
aHash
|
e7e7e7e7c3ffffff |
|
VISUAL
dHash
|
0c0c0c0d4d001400 |
|
VISUAL
wHash
|
e4e4c0c0c0e4fcfc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c0c0c0d4d001400,1100303030080001 |
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 242 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.