Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1007319A83919F5261EB343A710DE24037378121B540D4D70B255FDAEB6BCC9AB06BFD9 |
|
CONTENT
ssdeep
|
1536:k50lUuRNka2wblHbJLwLIz9GguGOjjRnY:cArX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cb6369494b694b6 |
|
VISUAL
aHash
|
7600181818180000 |
|
VISUAL
dHash
|
d40b303232320800 |
|
VISUAL
wHash
|
ff0118183c3c0000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
d40b303232320800 |
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 208 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.