Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10423D874A0006A37121749E8B63B971F3297C258CB976F40A7FE43EA5BF6C99CC25076 |
|
CONTENT
ssdeep
|
1536:ePDCpe3Cq3jAKCAoRvlh/BzVXPxOofrpScpNpScpJl+4lpphuwdJyfOT0ZyfWZXk:eCvrzr9r5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c84b238c9777697 |
|
VISUAL
aHash
|
7f7f3e3818000000 |
|
VISUAL
dHash
|
e4f4f4f170347c3f |
|
VISUAL
wHash
|
ff7f7f383c180001 |
|
VISUAL
colorHash
|
32007000000 |
|
VISUAL
cropResistant
|
e4f4f4f170347c3f |
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 166 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.