Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F2124231000451B4B235EF87ED29688219FD70CDE4B0D1092A646CC1FF5E9ADA57794 |
|
CONTENT
ssdeep
|
24:hRx2JCMsVqc+tWNgfsRE0w7WNILuILmRk2Ns0puzxdzb:Tx2weDRuIV2oDb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
843da896c2daccf3 |
|
VISUAL
aHash
|
5f03121866324677 |
|
VISUAL
dHash
|
b626b6b0cce684d5 |
|
VISUAL
wHash
|
5f03127866326777 |
|
VISUAL
colorHash
|
31601008000 |
|
VISUAL
cropResistant
|
b626b6b0cce684d5 |
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 24 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.