Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131A1527A0541186B126785F4BDD1F34AD2B2C38CCEB78A46A3ECC7DA1BD6D60CC56274 |
|
CONTENT
ssdeep
|
48:TGupT2zdlxuaxXqNqDt4In7ktctXNO2If9+sM+HbX+HhGBJMyjr8TAiVvBQAgYe4:TGuy46YtsNOD9+sM+Hr+HcBqqo5Q54 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993366cc993333cc |
|
VISUAL
aHash
|
0010001818180000 |
|
VISUAL
dHash
|
08304cb2b2324c30 |
|
VISUAL
wHash
|
0303071f1f1f0700 |
|
VISUAL
colorHash
|
07000010c00 |
|
VISUAL
cropResistant
|
57acb292b28c2ba2,08304cb2b2324c30 |
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 90 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.