Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C33D570228A2ABD75238BD4F7F1F77481A5D31AD72B4118EAAC42711786C86ED137EC |
|
CONTENT
ssdeep
|
768:3AKQT1ZhO2ZWH2ejw8vf1V1W1x1oXJ2rTqnfSV82pYiKfWY6GTLY3H:1QT1rue5YiKfWY6GTA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93447c383ce6c73c |
|
VISUAL
aHash
|
062c7e7c0e6e0c00 |
|
VISUAL
dHash
|
34d8c4c4f8d8d860 |
|
VISUAL
wHash
|
060c7e7c3e6e0e3c |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
34d8c4c4f8d8d860 |
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 22 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.