Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3736532230C2E2C694387A9F3657729516D92C4FB2BF4E8A1AC017167D6F59E837DE0 |
|
CONTENT
ssdeep
|
768:hqQB741EIeuVsRKy/jQHQ45z7w7ODdpcjlQtMndlLu25NhEEEEF4nEEEEV1EEEEC:hp4KflxEEEEwEEEELEEEEQs7500E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b99937473646631 |
|
VISUAL
aHash
|
043c18181818003c |
|
VISUAL
dHash
|
dc79603232b03369 |
|
VISUAL
wHash
|
6e3c3c3c3c38193d |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
92641a1b0b780282,0080ace6a0016a48,dc79603232b03369 |
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 120 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.