Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15253B730B0502A3F51374BA8F095F71952BEC749D52B4A22E2FE23775BD9C95DA2238C |
|
CONTENT
ssdeep
|
1536:BBwWBGW6lNeggxm42zk2JhKHRQrHKbSJX4:GWSeggxm42tHk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c225de3dd225c7c1 |
|
VISUAL
aHash
|
000060000000fcff |
|
VISUAL
dHash
|
c4e6c3cb98000901 |
|
VISUAL
wHash
|
767670604000ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
0909090809090909,c4e4c3c39c001989 |
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 14 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.