Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7D1DF70311559BF45C7CFF0F670AB6BA1A5C788D60B865A93E883562FCBCA5CD88260 |
|
CONTENT
ssdeep
|
96:TCyXFdhdoLBOk2/U3WqLC/pn/KB36lYc8/7/XnBEdLMs:3XF+BOzUhC/66mci7vBgN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83a3383e3e61e3c6 |
|
VISUAL
aHash
|
0f3f7b6b3b070000 |
|
VISUAL
dHash
|
7ffbc3d3ebfffef1 |
|
VISUAL
wHash
|
1f1f7f7b3b070100 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
7ffbc3d3ebfffef1 |
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 6 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.