Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A253C7B4218082BF024B4BE4B576F7B5719692ACCE7BC98CA7BC5792B7C6CF49C01194 |
|
CONTENT
ssdeep
|
768:Zn3hu7DeUetT5GjmRn07j2gPmDILJQP2XNC3FCbJrQUQjtKt0U+D+IgzUVKc58PJ:ZUejLGXpifP0NC3SEljtox6+BnAU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c38cb83cc73c3cc3 |
|
VISUAL
aHash
|
107a607c7000686c |
|
VISUAL
dHash
|
66d4d445552acac8 |
|
VISUAL
wHash
|
227e0e7c34007e7e |
|
VISUAL
colorHash
|
38000010008 |
|
VISUAL
cropResistant
|
66d4d445552acac8 |
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 529 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.