Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A92AA3593081C1D611F86C4F671F72E5366C385C20D4A6CAABC1576A78ED74E9BB2CC |
|
CONTENT
ssdeep
|
96:LNgyN46YzVY5qKFqlS5rAIjj3lxlR/LiYd/Td/mQ3qhdOmQpdzpeIQdrMrlQ6/dr:O7tUSJ41pJhX7oeP8/mAyKOmOBsw5Ur0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb63e794086863b6 |
|
VISUAL
aHash
|
f12761511f7ffefc |
|
VISUAL
dHash
|
8bcacba3b3b20080 |
|
VISUAL
wHash
|
e123614909dffc78 |
|
VISUAL
colorHash
|
07e00000001 |
|
VISUAL
cropResistant
|
8bcacba3b3b20080 |
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 61 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.