Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186F35360F25489F9E05B0FF9C732B999239C71E4CF84435CE7985374A972CE6A892EC4 |
|
CONTENT
ssdeep
|
1536:ia0Zwq9+9a9adwhwQHhPsCsX+1MUHA4LHaQsiv1q/O2+/OI7wQm:bYQUHZGL/S/O3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea8596786a959669 |
|
VISUAL
aHash
|
ffffffc1c1c1c1c1 |
|
VISUAL
dHash
|
c4c5e49b9b9f9589 |
|
VISUAL
wHash
|
ff7fffc0c0c0c040 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c4c5e49b9b9f9589,31333136cec8339c |
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 241 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.