Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167A3D93423092A7E55574FEAF26177B4B0BEA34DEE5BC048F2BC03661BC9CD5A922354 |
|
CONTENT
ssdeep
|
1536:m5IG/hoLfnJGHqN5D6m1K+K+4eMk7VHmHEsNjZ:Om/JGHyQqdsFZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
855ae54c39e572ac |
|
VISUAL
aHash
|
003e3f1f1e313323 |
|
VISUAL
dHash
|
e670647860e3e6c6 |
|
VISUAL
wHash
|
003e3f2f1e373323 |
|
VISUAL
colorHash
|
12601000040 |
|
VISUAL
cropResistant
|
0f0f16160f071607,8ab861b02603a2b6,3c7193b1c986676d,85ecbac988e27038,35d1da92c9e3f3c2,6670647860e3e6c6 |
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 86 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.