Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AC283B29219083E92238AD0A1753B1932E7835DE607051497FD43F867CFD95EE339AC |
|
CONTENT
ssdeep
|
384:uRjIl9sWRxwgoy291PO7XyK885Xl0UFEvtFK:5sWUK2DG7Xh885Xl0UF+tFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cb69819379db2aa |
|
VISUAL
aHash
|
1f3f3f3f00181818 |
|
VISUAL
dHash
|
bde8e96aedb232b0 |
|
VISUAL
wHash
|
5f3f3f3f0018185c |
|
VISUAL
colorHash
|
39c00040000 |
|
VISUAL
cropResistant
|
7b4b19191bc9c989,4acbaa7a5aceaece,bde8e96aedb232b0 |
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 33 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.