Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB92BD71A105456213B389C4E9A0BF1FB593FB0FD0C689587FAC80952FD7CB8B9275A1 |
|
CONTENT
ssdeep
|
384:+iCNRjYnanYrFFFMFbFWFOfFiFnqF2MWpPVP:HC7jG/EhCOtm+2MWJ5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91333b6ec4846b3b |
|
VISUAL
aHash
|
000000ff7e000000 |
|
VISUAL
dHash
|
cc4dcce8cc0f8c04 |
|
VISUAL
wHash
|
0283c3ffff030703 |
|
VISUAL
colorHash
|
07000038200 |
|
VISUAL
cropResistant
|
90888c8c808c0894,cc4dcce8cc0f8c04 |
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 25 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.