Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1064429F0136556FEA103C3E5E2625926B69FB1F9FB62CA44C3EC4A25B4D9C88CC46CD1 |
|
CONTENT
ssdeep
|
3072:lVegwl3UH07sTVEQDYOI2POEgkNF6wVuzFwXTx8s1hXooByPHg93XKMwCNm/diul:Y34DY7bxYm/diuU+FSCVd/wdG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ed865618ed28dd8 |
|
VISUAL
aHash
|
00003c3c3c180000 |
|
VISUAL
dHash
|
f0f0707171f2f0e3 |
|
VISUAL
wHash
|
7e383e3c3c3c1833 |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c0646494d0646094,f0f0707171f2f0e3 |
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 92 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.