Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17351F1347998543FA7270BC5F6A1EE6D65D6B70EC903817091F627FC0BE0ED28C68465 |
|
CONTENT
ssdeep
|
24:htDCc+6Wha3c+EXl/z8BX6/8f849b8EAIbDBjtkajloM0A+lFcGkGF593F2ybams:jIa3lEX1wBXA8k4KCq3lF3PFXTF88i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dcf673dc8c228c89 |
|
VISUAL
aHash
|
c0c0981818180101 |
|
VISUAL
dHash
|
20083032b2330f13 |
|
VISUAL
wHash
|
dcc0d8981a19032f |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
20083032b2330f13 |
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 260 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.